Decentralised control Research Papers - Academia.edu (original) (raw)

2025

STESH proposes a peer-to-peer network connecting India’s 5M coders with idle GPUs (~80% idle, Industry Report, 2024) for AI compute at ~₹62-₹83/hour. Targeting ~₹83Cr (1%) of India’s ~₹8,300Cr AI market by 2032 (NASSCOM, 2024), STESH uses blockchain (~₹0.8/tx), zero-knowledge proofs (~10-30s), and UPI (~83% penetration, RBI, 2024) for secure, affordable access. Our Proof-of-Compute ensures verifiable GPU usage, addressing coders’ budget constraints (~₹8,000/month). Supported by ~15 early testers, STESH aims for a Q2 2025 beta, integrating ~10,000 GPUs. This white paper outlines the technical framework, market analysis, and beta roadmap, seeking feedback from AI/blockchain researchers to refine our decentralised platform for India’s AI ecosystem.

2024, International Journal of Greenhouse Gas Control

With increasing penetration of intermittent renewable energy into the electricity grid, one can expect thermal power plants to be required to operate in a more dynamic fashion, with more frequent departures from design point operation. However, the application of optimal control strategies can offer solutions to these operational challenges, associated with the integration of the power plant with the capture plant. In this paper a process control strategy is developed in order to select the optimal control variables for a PCC process. In addition, economically efficient control structures for operation of a post-combustion capture process with minimum energy requirements for coal and natural gas power plant are designed. The results have shown that with an appropriate and welltuned control strategy, it is possible to maintain critical parameters, such as the degree of CO 2 capture, at the desired set-point, even during periods of significant fluctuation in the power plant load and even if based on simple and well established control technologies, such as PID, avoids the need for more risky solutions such as adding solvent storage tanks to the process.

2024, International Journal of Systems, Control and Communications

This paper analyses the characteristics and property of generating a formation by a team of homogenous robots. Graphic networking patterns are used to model the physical relationship and information exchanging topology among robots. The high-level controller based on artificial potential field is designed for the formation generation. Five scenarios of formation control with considering the effect of different networking topologies are discussed and simulated in detail. Factors such as robustness, convergence speed, power consumption and system efficiency are compared for different information sharing topologies. Simulation results show that motion interaction of robots in formation control can be more efficient and robust with properly chosen networking patterns.

2024, International Journal of Systems Science

The dynamic model of multi-degree-of-freedom permanent magnet (PM) spherical actuators is multivariate and nonlinear due to strong inter-axis couplings, which affects the trajectory tracking performance of the system. In this paper, a decentralised control strategy based on adaptive fuzzy sliding mode (AFSM) algorithm is developed for a PM spherical actuator to enhance its trajectory tracking performance. In this algorithm, the coupling terms are separated as subsystems from the entire system. The AFSM algorithm is applied in such a way that the fuzzy logic systems are used to approximate the subsystem with uncertainties. A sliding mode term is introduced to compensate for the effect of coupling terms and fuzzy approximation error. The stability of the proposed method is guaranteed by choosing the appropriate Lyapunov function. Both simulation and experimental results show that the proposed control algorithm can effectively handle various uncertainties and inter-axis couplings, and improve the trajectory tracking precision of the spherical actuator.

2024, International Journal of Control

This paper proposes a decentralised second-order sliding mode (SOSM) control strategy for load frequency control (LFC) in power networks, regulating the frequency and maintaining the net inter-area power flows at their scheduled values. The considered power network is partitioned into control areas, where each area is modelled by an equivalent generator including second-order turbine-governor dynamics, and where the areas are nonlinearly coupled through the power flows. Asymptotic convergence to the desired state is established by constraining the state of the power network on a suitably designed sliding manifold. This manifold is designed relying on stability considerations made on the basis of an incremental energy (storage) function. Simulation results confirm the effectiveness of the proposed control approach.

2023

One of the challenges in designing actively controlled rotating systems is finding the appropriated controller gains of the feedback system. Some strategies of finding the controller gains require that the open loop response of the system be known or identified experimentally. This can be done by exciting the system in a given rotating speed (stationary condition). However, the most critical situations that justify controlling occur during run-up and run-down (non-stationary conditions). In these non-stationary conditions, unbalance strongly affects the results and must be considered in the analysis. In this work, one presents a methodology for identifying the open loop response of an actively controlled rotating system during non-stationary conditions. One takes advantage of the fact that, in these conditions, frequency changes with time and can be used for exciting the system. Unbalance can be disregarded in signal processing by measuring the unbalance response during run-up and forced + unbalance response during run-down. Experimental results show the feasibility of finding the open loop response of the system after a single run-up and run-down operation. Phase identification is critical and some precautions during the response measurement procedure are suggested. At the end, the obtained open loop response functions can be further used to find the controller gains of the system for non-stationary operation.

2023, IEEE Transactions on Smart Grid

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2023

It is widely agreed that for a continent to fully achieve its potential in human and societal development, reduce inequalities and improve standard of living, trade is an important sector that must be developed, improved and maintained. Africa has numerous potentials in terms of population and natural resources, but according to the World Bank, 39 of the 50 countries with the lowest GDP per capita are located in Africa. Intra-African trade is essential in addressing impoverishment in the continent. Unfortunately, trade between African countries is still very low when compared to the levels in other continents such as Europe and Asia. This can be attributed to barriers including protectionist trade policies, infrastructure deficits, lack of efficient cross-boundary payment systems, and political instability.

2023, IFAC-PapersOnLine

A new Fractional Order Proportional-Integral (FOPI) controller is proposed in this paper for process control systems. This is achieved by extending the Biggest Log-modulus Tuning (BLT) method of designing conventional PID controllers to tuning FOPI controllers for multivariable processes. Unlike the conventional PID case, internal model control (IMC) method is first used to design the FOPI controller and obtain preliminary values of controller parameters. This yields simple formulae for setting controller gains. Thereafter, the FOPI controller gains are adjusted using a single detuning factor (F) until a biggest log modulus of 2N dB is obtained where N is the number of loops. Extended simulation studies show that good compromise between performance and robustness can be achieved for multiloop process control applications with the proposed FOPI controller.

2023, International Journal of Systems, Control and Communications

2023, International Journal for Research in Applied Science & Engineering Technology (IJRASET)

Data/Web Hosting is a service that lets enterprises or selves present their data on the internet that users can access. The firm providing such services are web/data host. Apart from that, such services require incessant support, and not everyone can afford a particular centralized data host service. The peer-to-peer(P2P) protocol, the Interplanetary file system(IPFS), is augmenting into a legitimate alternative to traditional data and web hosting. This paper put forward a decentralized blockchain IPFS-based interactive manageable model, and the work presents an application and schematic that serves as a Proof of Concept(PoC) of decentralized blockchain technology that can be wielded to create an immutable record of energy and resource usage for further analysis and estimation of yield at a scale. IPFS hosts an immutable record that would be independently verifiable and available in perpetuity. First, having the user connect to the service through an IPFS node, then requesting the user upload their data. Then the data is uploaded, and a CID(Content Identification) and a QR code are returned to the user, who can then compute and visualize the results through the application. This system enables the novel application of decentralized data storage to capture, add and visualize yield and environmental data and track it further down the supply chain.

2023, 2020 IEEE/SICE International Symposium on System Integration (SII)

We present an adaptive hierarchical distributed control strategy (AHDC) enabling a small swarm of mobile robots to explore and track very large target clouds. The hierarchical distributed control architecture (HDC) is designed to govern not only robot behaviours but also their neighbourhood connectivities for global network integrity preservation. A mobile robot equipped with the HDC is capable of adaptively pruning neighbourhood connectivities so the robot can deal with complexity and constraints of local connectivity topologies. A cooperative target observation, tracking, and release (COTR) algorithm is incorporated into the HDC to allow a robot to track more than one target in large target clouds. We have demonstrated and evaluated effectiveness of the AHDC through both simulation and real-world experiments.

2023, 2020 IEEE/SICE International Symposium on System Integration (SII)

2023, International Journal of Robotics and Control Systems

In this paper, a decentralized dynamic sliding mode control (DySMC) strategy is applied to a multivariable level control system. The time derivative of the control input of the DySMC is considered a new control variable for an augmented system which is composed of the original system and the integrator. This DySMC can transfer discontinuous terms to the first-order derivative of the control input and effectively reduce the chattering. The interactions between input/output variables are a common phenomenon and a challenging task in the design of multi-loop controllers for interacting multivariable processes. For reducing the interaction among variables, ideal decouplers are used. Independent diagonal controllers are designed for each decoupled subsystem, which is reduced to the first-order plus dead-time (FOPDT) model. A numerical simulation test has been carried out on a reactor system of the Industrial-Scale Polymerization (ISP). Experimental tests are performed to check the effica...

2022, International Journal of Control

Decentralised rate-based flow controller design in multi-bottleneck data-communication networks is considered. An H 1 problem is formulated to find decentralised controllers which can be implemented locally at the bottleneck nodes. A suboptimal solution to this problem is found and the implementation of the decentralised controllers is presented. The controllers are robust to time-varying uncertain multiple time-delays in different channels. They also satisfy tracking and weighted fairness requirements. Lower bounds on the actual stability margins are derived and their relation to the design parameters is analysed. A number of simulations are also included to illustrate the time-domain performance of the proposed controllers.

2022, 2009 International Multiconference on Computer Science and Information Technology

Sensor networks are being used in several emerging applications not even imagined some years ago due to advances in sensing, computing, and communication techniques. However, these advances also pose various challenges that must be faced. One important challenge is related to the autonomous capability needed to setup and adapt the networks, which decentralizes the control of the network, saving communication and energy resources. Middleware technology helps in addressing this kind of problem, but there is still a need for additional solutions, particularly considering dynamic changes in users` requirements and operation conditions. This paper presents an agent-based framework acting as an integral part of a middleware to support autonomous setup and adaptation of sensor networks. It adds interoperability among heterogeneous nodes in the network, by means of autonomous behavior and reasoning. These features also address the needs for system setup and adaptations in the network, reducing the communication overhead and decentralizing the decision making mechanism. Additionally, preliminary results are also presented.

2022, Proceedings of the 45th IEEE Conference on Decision and Control

In radio frequency identification (RFID) systems, the detection range and read rates will suffer from interference among high power reading devices. This problem grows severely and degrades system performance in dense RFID networks. In this paper, we investigate a suite of feasible power control schemes to ensure overall coverage area of the system while maintaining a desired read rate. The power control scheme and MAC protocol dynamically adjusts the RFID reader power output in response to the interference level seen locally during tag reading for an acceptable signal-to-noise ratio (SNR). We present novel distributed adaptive power control (DAPC) and probabilistic power control (PPC) as two possible solutions. A generic UHF wireless testbed is built using UMR/SLU GEN4-SSN for implementng the protocol. Simulation and hardware results are included.

2022, International Journal of Management (IJM)

District judiciary is the basic building block of Justice System. Majority of cases or litigation starts from this level and reaches superior Judiciary. Unfortunately, our system is creeping at the snail's pace and people suffer from generation to generation to get their cases decided by the courts. That is why trust of people is eroding from the system day by day that in turn gives rise to concept of Might is Right. This paper has tried to explore the effect of allocation of budget on dispensation of justice. Due to insufficient resources courts lack modern technologies that also is major hurdle in smooth functioning of the courts. This paper studies different components of resources like Budget allocated by Government, infrastructure and basic facilities, training of judges and court staff etc. Improper budget and provision of other basic necessities is also a reason for slow dispensation of justice. The Research was conducted by building a hypothesis and was tested with application of statistical tools and techniques to get outcome. Population of the research study was infinite therefore the sample of 245 people was selected through non-probability convenience sampling technique from five categories 95 litigants, 75 lawyers, 25 Judges, 25 Court administrative staff and 25 Law enforcement agencies. Five-point Likert scale was used to determine research variables. The study explored the insignificant relationship of allocation of resources with dispensation of justice as both the variables were not mutually co related.

2022, Indonesian Journal of Electrical Engineering and Computer Science

This paper presents the problem of sensing coverage of layers of the ocean in three dimensional underwater environments. We propose distributed control laws to drive mobile underwater sensors to optimally cover a given confined layer of the ocean. By applying this algorithm at first the mobile underwater sensors adjust their depth to the specified depth. Then, they make a triangular grid across a given area. Afterwards, they randomly move to spread across the given grid. These control laws only rely on local information also they are easily implemented and computationally effective as they use some easy consensus rules. The feature of exchanging information just among neighbouring mobile sensors keeps the information exchange minimum in the whole networks and makes this algorithm practicable option for undersea. The efficiency of the presented control laws is confirmed via mathematical proof and numerical simulations.

2022, IEEE Internet of Things Journal

2022, Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology

The feedback-controlled lubrication regime, based on a model-free designed proportional–derivative controller, is experimentally investigated in a flexible rotor mounted on an actively-lubricated tilting-pad journal bearing. With such a lubrication regime, both the resulting pressure distribution over the pads and hence the bearing dynamic properties are dynamically modified. The control strategy is focused on reducing the lateral vibrations of the system around its operational equilibrium within a wide frequency range. To synthesize the proportional–derivative controller gains, an objective function is optimized in the stabilizing gain domain and then chosen from a subdomain imposed by servovalve restrictions. This work demonstrates enhancements of the dynamic response of flexible rotor-bearing systems supported by an active tilting-pad journal bearing by means of the feedback-controlled lubrication regime featured via proportional–derivative controllers.

2022, International Journal of Control

2022, Proceedings of the 2011 American Control Conference

In this paper, the problem of active clock distribution network synchronization is considered. The network is made of identical oscillators interconnected through a distributed array of phase-locked-loops (PLLs). The problem of the PLL network design is reformulated, from a control theory point of view, as a control law design for a distributed multi-agent system. Inspired by the decentralized control law design methodology using the dissipativity input-output approach, the particular topology of interconnected subsystems is exploited to solve the problem by applying a convex optimization approach involving simple Linear Matrix Inequality (LMI) constraints. After choosing the dissipativity properties which is satisfied by the interconnection matrix, the constraints are transformed into an H ∞ norm constraint on a particular transfer function that must be fulfilled for global stability. Additional constraints on inputs and outputs are introduced in order to ensure the desired performance specifications during the H ∞ control design procedure.

2022, 2009 International Multiconference on Computer Science and Information Technology

2022, AIChE Journal

The interactions between inputs and outputs in the multi input multi output (MIMO) systems yield responses from closedloop off-diagonal elements. To characterize these responses through modeling, a systematic approach is followed to derive analytical expressions for relay feedback responses on multivariable systems. Time domain analytical expressions are helpful in deriving boundary conditions to estimate the parameters of MIMO systems. Unknown system parameters are identified using limit cycle data of off-diagonal closed-loop relay response curves obtained from single relay feedback test on these MIMO systems. Developed models are found to be in close agreement with real time system, and the parametric identification procedure is also efficient.

2022, Proceedings of the 2011 American Control Conference

2022, Control Engineering Practice

Based on dimensional analysis, a decentralised PI (PID) tuning method for two-input two-output processes is presented. First the process is decoupled through a decoupler matrix. Next, a first (second) order plus dead time model is determined for each element of the decoupled process. Then, a decentralised PI (PID) controller is obtained using the non-dimensional tuning method. In order to demonstrate the performance of the proposed method it is applied to four processes including a Rolls-Royce jet engine.

2022, Volume 6A: 18th Biennial Conference on Mechanical Vibration and Noise

This work deals with the development of an adaptive hydrodynamic bearing made of a mobile housing mounted on piezoelectric actuators. The device is placed near one of the two bearings supporting a slender shaft. Imposing a harmonic displacement on the mobile bearing, in two orthogonal directions, a rotating force, and hence a correcting moment, can be produced on the shaft so as to reduce the bending caused by the unbalance. The first tests carried out are encouraging and the agreement of experimental and numerical results is satisfactory.

2022

Abstract: In this paper we explore the relationship between local and global behaviour in a simple model of utility com-puting infrastructure as the system heterogeneity, load and re-liability are varied. To do this, we implement minimally com-plex agent strategies for which we can identify the fundamen-tal generic feedback underlying system behaviour. Such feed-back must be balanced by any utility computing infrastructure if decentralised control is to become an effective technique for preserving stable functionality.

2022, International Journal for Research in Applied Science & Engineering Technology (IJRASET)

Developing a protected electronic voting system that gives the decency and security of a current voting system, while providing the accuracy and flexibility offered by electronic systems, has been a test for quite a while. Use of blockchain as an assist to actualize disseminated digital balloting structures is accessed. At the present, neither civilians nor elected leaders have favoured conventional ballots. Elections are surrounded via way of means of vote falsification, bribery and different vote casting problems paper and polling shape balloting a ballot system, the checking of vote's takes hours and the number of the time days and hardly ever any activities reduce to rubble the effects through distinctive feature of human or machine. There needs to be an awesome function of current technology to improve the prevailing system. Blunder, which brings about the process taking much more. Blockchain innovation offers a fact in which that character flaw is eliminated from the situation and votes are checked proper away. Blockchain generation is the only one that handles the real vote. We use the stable hash set of rules for resolving this trouble and attempted to convey an answer via using this booming generation. The system based on blockchain will be safe, trustworthy, and private. It will help to realize the general remember of the applicants who participated and its capabilities inside the equal manner as people's religion of their governments does. The citizens and political selection executives can get sizable benefits from the voting poll programming application. And yet, e-vote casting a poll gives large risks to political race safety and honesty and modifications the concept of political selection straightforwardness and investigation. E-Voting has a Relatively bit of freedom; at the cease of the day, Relative Advantage is degree while an improvement is regarded as advanced to the past one; Since, e-Voting is advanced to the guide vote casting system.

2022

This paper presents a decentralised model predictive control (DMPC) for two-input and two-output (TITO) processes. To reduce the computational load, shifted input sequence is used to cater for loop interactions. The proposed scheme is applied to a coupled system to demonstrate the performance the DMPC. Model predictive control (MPC) and decentralised PID (PI) were also applied for comparison purposes.

2022, Facta Universitatis, Series: Mechanical Engineering

Appropriate approach to the nature of systems is a significant precondition for its successful control. An always actual issue of its mutual coupling is considered in this paper. A multivariable system with two-inputs and two-outputs (TITO) is in the focus here. The dominant pole placement method is used in trying to tune the PID controllers that should support the decoupling control. The aim is to determine parameters of the PID controllers which, in combination with decoupler, can obtain a good dynamical behavior of the system. Therefore, this kind of the centralized analytically obtained controller is used for object control. Another goal is to simplify the tuning procedure of PID controllers and enlarge the possibility for introducing the given approach into practice. But the research results indicate that the proposed procedure leads to the usage of P controllers because they enable the best performances for the considered object. Also, it is noticed that some differences from the usual rules in selection of the dominant poles gives better results. The research is supported by simulations and, therefore, the proposed method effectiveness, regarding the system behavior quality, is presented on several examples.

2022, Hemijska industrija

This paper contains methodology research for forming the control algorithm for a distillation column, modeled as TITO (two-input two-output) process. Its modified form was obtained by connecting the two parts, and this combination hasn't been applied for such a industrial plant, until now. These parts include: a simplified decoupler which was first designed and decentralized PID controller obtained using D-decomposition method for such decoupled process. The decoupler was designed in order to make process become diagonal, and parameters of PID controllers are defined for the two SISO (single-input single-output) processes starting from relation between IE (integral error) criterion and integrator gain, taking into account desired response characteristics deriving from technological requirements of controlled plant. Their connecting provides centralized control. Analysis of the processes responses, obtained by the proposed algorithm and their comparison with the results from the ...

2022

In the paper dynamic investigations on the automotive turbocharger rotor-shaft supported on the electrodynamic passive magnetic bearings (EDPMB) and on the traditional floating-ring journal bearings have been carried out using a computer model. The results of computations obtained for the two mutually compared kinds of suspension are demonstrated in the form of Campbell diagrams and amplitude-frequency characteristics. Here, the main attention is focused on resonant-free operation ability assured by the support on the EDPMBs. Moreover, conditions of stability for the support on the journal bearings and on the EDPMBs have been investigated by means of the eigenvalue analysis. There is studied an influence of skew-symmetrical dynamic properties of the both kinds of rotor-shaft suspensions caused by the bearing stiffness negative cross-coupling terms as well as by the gyroscopic effects which are particularly severe at turbocharger high rotational speeds.

2022

A decentralised large-scale network of mobile robots for multitarget tracking is addressed in this paper. The decentralised control is originally built up by behavioural control but upgraded with connectivity maintenance and hierarchical connectivity removal. The multi-target tracking algorithm guarantees that the mobile robots can reach the targets at the very high success rate while at least an interconnectivity network connecting all the mobile robots exists. The Monte-Carlo simulation results illustrate scalability properties of the large-scale network of mobile robots in terms of number of robots and types of scenarios.

2022

Abstract. One of the challenges in designing actively controlled rotating systems is finding the appropriated controller gains of the feedback system. Some strategies of finding the controller gains require that the open loop response of the system be known or identified experimentally. This can be done by exciting the system in a given rotating speed (stationary condition). However, the most critical situations that justify controlling occur during run-up and run-down (non-stationary conditions). In these non-stationary conditions, unbalance strongly affects the results and must be considered in the analysis. In this work, one presents a methodology for identifying the open loop response of an actively controlled rotating system during non-stationary conditions. One takes advantage of the fact that, in these conditions, frequency changes with time and can be used for exciting the system. Unbalance can be disregarded in signal processing by measuring the unbalance response during ru...

2022, ECMS 2018 Proceedings edited by Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen

Vehicle Routing Problems (VRPs) are commonly used as benchmark optimisation problems and they also have many applications in industry. Using agent-based approaches to solve VRPs allows the analysis of dynamic VRP instances that incorporate congestion effects. By using a domain-specific language as part of a model-driven approach, routing problems can be modelled in an abstract form that does not contain implementation and other technical details. With such a tool domain experts can concentrate on the actual modelling task without being distracted by low-level intricacies. We present the DSL Athos in which computational and platform independent routing problems can be defined. The DSL offers an efficient way to model problems with seamless integration of established optimisation methods. Generators create executable code for several agent based platforms. Proof of concept is given by applying the tools to the Oliver 30 TSP and an instance of a dynamic TSP.

2022

I ةصلاخ ثحبلا II Acknowledgements III Dedication IV List of Notations & Abbreviations V List of Figures X

2021, First International Conference on Applications of Advanced Technologies in Transportation Engineering

This paper describes the development and testing of OPAC (Optimization Policies for Adaptive Control), a computational strategy for demand-responsive decentralized traffic signal control. The strategy has the following features: (1) it calculates controls that approach the theoretical optimum; (2) it only requires on-line data that can be obtained from upstream link detectors: and (3) it forms a building-block for demand-responsive decentralized control in a network. Performance o€ the strategy was tested by simulation as well as in practice.

2021, Intelligent Service Robotics

This paper presents a distributed approach to enabling mobile robot swarms to track multiple targets moving unpredictably. The proposed approach consists of two constituent algorithms: local interaction and target tracking. When the robots are faster than the targets, Lyapunov theory can be applied to show that the robots converge asymptotically to each vertex of the desired equilateral triangular configurations while tracking the targets. Toward practical implementation of the algorithms, it is important to realize the observation capability of individual robots in an inexpensive and efficient way. A new proximity sensor that we call dual rotating infrared (DRIr) sensor is developed to meet these requirements. Both our simulation and experimental results employing the proposed algorithms and DRIr sensors confirm that the proposed distributed multi-target tracking method for a swarm of robots is effective and easy to implement.

2021, IAEME PUBLICATION

The article of ers the answer to the questions: “Why does the centralised model of constitutional review prove applicable to Vietnam?”, and “if applied, what prospects and challenges will the model face?”. The findings of much research indicate that Vietnam’s current judicial and political attributes are similar to those of Europe hundreds of years ago, when Civil-law countries were constructing their model of constitutional review. These attributes also explain why Europe did not choose the decentralised model (the American model). There are prospects that the application of the centralised model will quickly prove suitable for Vietnam’s context and will help pursue the goal of creating rule-of-law politics and social life.

2021, International Journal for Research in Applied Science & Engineering Technology

We put forward an idea and a prototype for an open-source, low-power, polling system built on traditional blockchain technology to decentralise the election process in developing nations in order to protect democracy and prevent voter fraud. Simple resource-efficient hashing mechanisms are used in order to ensure energy-efficiency but at the same time rely on the safety in scale approach to preventing attacks in the electoral process. Limitations of the voter-registration process and partial decentralisation problems are carefully examined and solutions are proposed for the same.

2021, IAEME PUBLICATION

District judiciary is the basic building block of Justice System. Majority of cases or litigation starts from this level and reaches superior Judiciary. Unfortunately, our system is creeping at the snail’s pace and people suffer from generation to generation to get their cases decided by the courts. That is why trust of people is eroding from the system day by day that in turn gives rise to concept of Might is Right. This paper has tried to explore the effect of allocation of budget on dispensation of justice. Due to insufficient resources courts lack modern technologies that also is major hurdle in smooth functioning of the courts. This paper studies different components of resources like Budget allocated by Government, infrastructure and basic facilities, training of judges and court staff etc. Improper budget and provision of other basic necessities is also a reason for slow dispensation of justice. The Research was conducted by building a hypothesis and was tested with application of statistical tools and techniques to get outcome. Population of the research study was infinite therefore the sample of 245 people was selected through non-probability convenience sampling technique from five categories 95 litigants, 75 lawyers, 25 Judges, 25 Court administrative staff and 25 Law enforcement agencies. Five-point Likert scale was used to determine research variables. The study explored the insignificant relationship of allocation of resources with dispensation of justice as both the variables were not mutually co related.

2021, IAEME PUBLICATION

The article offers the answer to the questions: “Why does the centralised model of constitutional review prove applicable to Vietnam?”, and “if applied, what prospects and challenges will the model face?”. The findings of much research indicate that Vietnam’s current judicial and political attributes are similar to those of Europe hundreds of years ago, when Civil-law countries were constructing their model of constitutional review. These attributes also explain why Europe did not choose the decentralised model (the American model). There are prospects that the application of the centralised model will quickly prove suitable for Vietnam’s context and will help pursue the goal of creating rule-of-law politics and social life.

2016, Control Engineering Practice

CITATIONS 74 READS 229 3 authors, including: Some of the authors of this publication are also working on these related projects: Fractional order PID control design for semi-active control of smart base-isolated structures View project fractal chaotic and hyper-chaotic attractors View project Saeed Tavakoli University of Sistan and Baluchestan 98 PUBLICATIONS 507 CITATIONS SEE PROFILE

2016

This paper presents a set of robust PI tuning formulae for a first order plus dead time process using particle swarm optimization. Also, tuning formulae for an integrating process with dead time, which is a special case of a first order plus dead time process, is given. The design problem considers three essential requirements of control problems, namely load disturbance rejection, setpoint regulation and robustness of closed-loop system against model uncertainties. The primary design goal is to optimize load disturbance rejection. Robustness is guaranteed by requiring that the maximum sensitivity is less than or equal to a specified value. In the first step, PI controller parameters are determined such that the IAE criterion to a load disturbance step is minimized and the robustness constraint on maximum sensitivity is satisfied. Using a structure with two degrees of freedom which introduces an extra parameter, the setpoint weight, good setpoint regulation is achieved in the second step. The main advantage of the proposed method is its simplicity. Once the equivalent first order plus dead time model is determined, the PI parameters are explicitly given by a set of tuning formulae. In order to show the performance and effectiveness of the proposed tuning formulae, they are applied to three simulation examples.

2016, International Journal of Rotating Machinery

Intelligent machines are capable of recognizing their operational condition and take actions towards optimality through an autonomous processing of information. Considering the importance of rotating machines in modern industry, this concept of intelligent machines can be applied to achieve high availability, thus avoiding interruptions in the production flow. In this work, a self-identification algorithm is proposed for the autonomous decision and control of a flexible shaft rotating system with electromagnetic actuators. Based on the D-decomposition technique, the algorithm searches in the domain of controller gains the best ones for P and PD controllers to reduce maximum peak response of the shaft. For that, frequency response functions of the system are automatically identified experimentally by the algorithm. It is demonstrated that regions of stable gains can be easily plotted, and the most suitable gains can be found to minimize the resonant peak of the system in an autonomous way, without human intervention.

2016

In this work, experimental results show the feasibility of reducing the amplitude of resonance peaks in a rotor-bearing test rig, in the frequency domain, by using active lubricated bearings. The most important consequence of this vibration reduction in rotating machines is the feasibility of increasing their operational range. As a result, one achieves intelligent machines that are more flexible to operate in a fast-changing demand environment. Some limitations of the active lubrication are also discussed based on experimental data, where the response of the servo valves and the supply pressure play an important role: the eigenfrequency of the servo valves establishes the operational frequency range of the active lubrication, whereas the supply pressure establishes the amplitude of vibration reduction achieved with the active lubrication.