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Papers by Vladimir Grebenyuk

Research paper thumbnail of Self-tuning kernel Gaussian method for predictive control systems

Journal of Process Control

Research paper thumbnail of A Hybrid Gaussian Process Approach to Robust Economic Model Predictive Control

This paper proposes a hybrid Gaussian process (GP) approach to robust economic model predictive c... more This paper proposes a hybrid Gaussian process (GP) approach to robust economic model predictive control under unknown future disturbances in order to reduce the conservatism of the controller. The proposed hybrid GP is a combination of two well-known methods, namely, kernel composition and nonlinear auto-regressive. A switching mechanism is employed to select one of these methods for disturbance prediction after analyzing the prediction outcomes. The hybrid GP is intended to detect not only patterns but also unexpected behaviors in the unknown disturbances by using past disturbance measurements. blackA novel forgetting factor concept is also utilized in the hybrid GP, giving less weight to older measurements, in order to increase prediction accuracy based on recent disturbances values. The detected disturbance information is used to reduce prediction uncertainty in economic model predictive controllers systematically. The simulation results show that the proposed method can improve ...

Research paper thumbnail of System Architecture For A Universal Integrated Energy System

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), 2019

Traditional centralized methods for generating and distributing energy are prone to failures and ... more Traditional centralized methods for generating and distributing energy are prone to failures and disruptions and are harmful for environment.This paper presents an alternative approach to clean energy generation and distribution on demand. A specific implementation of a universal integrated energy system (UIES) is proposed and the system architecture of such a system is discussed.

Research paper thumbnail of Simultaneous optimization of configuration and controller parameters in an integrated solar thermal hydronic system

2017 American Control Conference (ACC), 2017

This paper proposes a method to optimize simultaneously the configuration and the controller in a... more This paper proposes a method to optimize simultaneously the configuration and the controller in a solar domestic hot water system, which is an instance of an integrated thermal hydronic system. The system consists of five main components, a solar thermal collector, an air-to-water heat pump, a thermal storage tank, and two heat exchangers. The thermal energy is transferred through the fluid circulating in pipes. For this system, a state-space model is built, and an energy optimization problem is formulated. The problem is numerically solved by the gradient-descent method. Simulation results confirm the usefulness of the proposed optimization method in enhancing the overall system performance. The importance of the simultaneous optimization of both the system configuration and the controller is also demonstrated.

Research paper thumbnail of Switching Gain-Scheduled Linear-Quadratic-Regulator Control for Integrated Solar Thermal Hydronic Systems

Annual American Control Conference ACC-2018, 2018

This paper proposes a switching gain-scheduled feedback control strategy for a specific solar the... more This paper proposes a switching gain-scheduled feedback control strategy for a specific solar thermal generating system, called an Integrated Thermal Hydronic System (ITHS). The ITHS has not only a solar thermal collector as the main energy source but also a heat pump as an auxiliary source. For the ITHS, a temperature regulation problem is considered, where hot water temperature in a tank is maintained at a specified level against varying ambient air temperature, domestic hot water usage, and solar irradiation. A switching gain-scheduled linear-Quadratic-regulator (LQR) is designed to adjust fluid flow rates transferring the heat within the system. It is demonstrated that the proposed switching LQR outperforms a conventional LQR in both temperature regulation and energy consumption for ITHS operation.

Research paper thumbnail of Analysis of economic model predictive control parameters selection in an integrated solar thermal system

2019 IEEE Conference on Control Technology and Applications (CCTA)

In this study, we investigate the practical impacts of parameters selection on the performance an... more In this study, we investigate the practical impacts of parameters selection on the performance and computational cost of an economic model predictive controller for a domestic integrated solar thermal system. We also propose using an input-holding technique for the mentioned system, that decreases the elapsed time of solving optimization problems at each time-step, while sacrificing the efficiency of the control system to a small degree. It is observed that an optimally tuned controller can save up to 5% on energy bills while requiring a moderate amount of computational power.

Research paper thumbnail of Incorporating fast and intelligent control technique into ecology: A Chebyshev neural network-based terminal sliding mode approach for fractional chaotic ecological systems

Research paper thumbnail of An iterative learning approach to economic model predictive control for an integrated solar thermal system

Research paper thumbnail of A hybrid Gaussian process approach to robust economic model predictive control

Journal of Process Control

Research paper thumbnail of An optimal control strategy for a heat pump in an integrated solar thermal system

Journal of Process Control

Research paper thumbnail of Modeling and control for an integrated thermal hydronic system

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015

This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS)... more This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS) consisting of a solar thermal collector, a thermal storage unit and a thermal booster. Control inputs are: valves activation time, pitch angle, solar pump rate and compressor rate, measurements are: temperatures at critical points, and disturbances are: ambient air temperature, source water temperature and the position of the sun relative to the plane of the solar thermal collector. In this context, the problem of maintaining temperature within the given range of the thermal storage is considered. To address this problem, the model is developed based on lumpedparameter analysis. Using the model, three controllers are tested in simulations, i.e., the on-off controller, the PI controller and the scheduling controller. The modeling will be useful in developing optimal control for high efficiency ITHS.

Research paper thumbnail of Modeling and Control for an Integrated Thermal Hydronic System

This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS)... more This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS) consisting of a solar thermal collector, a thermal storage unit and a thermal booster. Control inputs are: valves activation time, pitch angle, solar pump rate and compressor rate, measurements are: temperatures at critical points, and disturbances are: ambient air temperature, source water temperature and the position of the sun relative to the plane of the solar thermal collector. In this context, the problem of maintaining temperature within the given range of the thermal storage is considered. To address this problem, the model is developed based on lumped-parameter analysis. Using the model, three controllers are tested in simulations, i.e., the on-off controller, the PI controller and the scheduling controller. The modeling will be useful in developing optimal control for high efficiency ITHS.

Research paper thumbnail of Optimal Algorithm For Satellite Tracking

Research paper thumbnail of Ascent - Sustainable System Architecture

Research paper thumbnail of Adaptable System Architecture for Integrated Hydronic System White Paper

Complex systems, especially non-homogeneous distributed systems, are subject of uncertainties whi... more Complex systems, especially non-homogeneous distributed systems, are subject of uncertainties which if unmanaged can lead to inadequate performance at best or worst, to unexpected catastrophic consequences. According to Systems Architecture, every system, however big or small, is always a part of a bigger system and in turn consists of a number of smaller subsystems. This is true for both natural and technical systems. Any complex technical system, in order to be successful, has to take into account its place in the hierarchy of other systems, as well as interdependency between the components of the system on each level. This is hardly an easy task but it is becoming even more difficult under the uncertainty in changing external conditions. An important conclusion of applying the principles of Systems Architecture to such systems is that it must be adaptable. The principles of Systems Architecture are universal [1], but there is hardly a more important area where they need to be app...

Research paper thumbnail of System architecture of the sustainable energy system for performance buildings

2013 IEEE Electrical Power & Energy Conference, 2013

ABSTRACT • A System Architecture approach to design sustainable energy system for performance bui... more ABSTRACT • A System Architecture approach to design sustainable energy system for performance building was proposed. • The knowledge-based Predictive Algorithm (ASPA) for optimal system configuration was developed. • ASPA has been implemented in the software program and tested through simulation and against selected stand-alone components. • The network-based advanced control system (ASCENT) is proposed

Research paper thumbnail of Predictive algorithm for sustainable system architecture

2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2013

Research paper thumbnail of Modeling and control for an integrated thermal hydronic system

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015

This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS)... more This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS) consisting of a solar thermal collector, a thermal storage unit and a thermal booster. Control inputs are: valves activation time, pitch angle, solar pump rate and compressor rate, measurements are: temperatures at critical points, and disturbances are: ambient air temperature, source water temperature and the position of the sun relative to the plane of the solar thermal collector. In this context, the problem of maintaining temperature within the given range of the thermal storage is considered. To address this problem, the model is developed based on lumpedparameter analysis. Using the model, three controllers are tested in simulations, i.e., the on-off controller, the PI controller and the scheduling controller. The modeling will be useful in developing optimal control for high efficiency ITHS.

Research paper thumbnail of Self-tuning kernel Gaussian method for predictive control systems

Journal of Process Control

Research paper thumbnail of A Hybrid Gaussian Process Approach to Robust Economic Model Predictive Control

This paper proposes a hybrid Gaussian process (GP) approach to robust economic model predictive c... more This paper proposes a hybrid Gaussian process (GP) approach to robust economic model predictive control under unknown future disturbances in order to reduce the conservatism of the controller. The proposed hybrid GP is a combination of two well-known methods, namely, kernel composition and nonlinear auto-regressive. A switching mechanism is employed to select one of these methods for disturbance prediction after analyzing the prediction outcomes. The hybrid GP is intended to detect not only patterns but also unexpected behaviors in the unknown disturbances by using past disturbance measurements. blackA novel forgetting factor concept is also utilized in the hybrid GP, giving less weight to older measurements, in order to increase prediction accuracy based on recent disturbances values. The detected disturbance information is used to reduce prediction uncertainty in economic model predictive controllers systematically. The simulation results show that the proposed method can improve ...

Research paper thumbnail of System Architecture For A Universal Integrated Energy System

2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE), 2019

Traditional centralized methods for generating and distributing energy are prone to failures and ... more Traditional centralized methods for generating and distributing energy are prone to failures and disruptions and are harmful for environment.This paper presents an alternative approach to clean energy generation and distribution on demand. A specific implementation of a universal integrated energy system (UIES) is proposed and the system architecture of such a system is discussed.

Research paper thumbnail of Simultaneous optimization of configuration and controller parameters in an integrated solar thermal hydronic system

2017 American Control Conference (ACC), 2017

This paper proposes a method to optimize simultaneously the configuration and the controller in a... more This paper proposes a method to optimize simultaneously the configuration and the controller in a solar domestic hot water system, which is an instance of an integrated thermal hydronic system. The system consists of five main components, a solar thermal collector, an air-to-water heat pump, a thermal storage tank, and two heat exchangers. The thermal energy is transferred through the fluid circulating in pipes. For this system, a state-space model is built, and an energy optimization problem is formulated. The problem is numerically solved by the gradient-descent method. Simulation results confirm the usefulness of the proposed optimization method in enhancing the overall system performance. The importance of the simultaneous optimization of both the system configuration and the controller is also demonstrated.

Research paper thumbnail of Switching Gain-Scheduled Linear-Quadratic-Regulator Control for Integrated Solar Thermal Hydronic Systems

Annual American Control Conference ACC-2018, 2018

This paper proposes a switching gain-scheduled feedback control strategy for a specific solar the... more This paper proposes a switching gain-scheduled feedback control strategy for a specific solar thermal generating system, called an Integrated Thermal Hydronic System (ITHS). The ITHS has not only a solar thermal collector as the main energy source but also a heat pump as an auxiliary source. For the ITHS, a temperature regulation problem is considered, where hot water temperature in a tank is maintained at a specified level against varying ambient air temperature, domestic hot water usage, and solar irradiation. A switching gain-scheduled linear-Quadratic-regulator (LQR) is designed to adjust fluid flow rates transferring the heat within the system. It is demonstrated that the proposed switching LQR outperforms a conventional LQR in both temperature regulation and energy consumption for ITHS operation.

Research paper thumbnail of Analysis of economic model predictive control parameters selection in an integrated solar thermal system

2019 IEEE Conference on Control Technology and Applications (CCTA)

In this study, we investigate the practical impacts of parameters selection on the performance an... more In this study, we investigate the practical impacts of parameters selection on the performance and computational cost of an economic model predictive controller for a domestic integrated solar thermal system. We also propose using an input-holding technique for the mentioned system, that decreases the elapsed time of solving optimization problems at each time-step, while sacrificing the efficiency of the control system to a small degree. It is observed that an optimally tuned controller can save up to 5% on energy bills while requiring a moderate amount of computational power.

Research paper thumbnail of Incorporating fast and intelligent control technique into ecology: A Chebyshev neural network-based terminal sliding mode approach for fractional chaotic ecological systems

Research paper thumbnail of An iterative learning approach to economic model predictive control for an integrated solar thermal system

Research paper thumbnail of A hybrid Gaussian process approach to robust economic model predictive control

Journal of Process Control

Research paper thumbnail of An optimal control strategy for a heat pump in an integrated solar thermal system

Journal of Process Control

Research paper thumbnail of Modeling and control for an integrated thermal hydronic system

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015

This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS)... more This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS) consisting of a solar thermal collector, a thermal storage unit and a thermal booster. Control inputs are: valves activation time, pitch angle, solar pump rate and compressor rate, measurements are: temperatures at critical points, and disturbances are: ambient air temperature, source water temperature and the position of the sun relative to the plane of the solar thermal collector. In this context, the problem of maintaining temperature within the given range of the thermal storage is considered. To address this problem, the model is developed based on lumpedparameter analysis. Using the model, three controllers are tested in simulations, i.e., the on-off controller, the PI controller and the scheduling controller. The modeling will be useful in developing optimal control for high efficiency ITHS.

Research paper thumbnail of Modeling and Control for an Integrated Thermal Hydronic System

This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS)... more This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS) consisting of a solar thermal collector, a thermal storage unit and a thermal booster. Control inputs are: valves activation time, pitch angle, solar pump rate and compressor rate, measurements are: temperatures at critical points, and disturbances are: ambient air temperature, source water temperature and the position of the sun relative to the plane of the solar thermal collector. In this context, the problem of maintaining temperature within the given range of the thermal storage is considered. To address this problem, the model is developed based on lumped-parameter analysis. Using the model, three controllers are tested in simulations, i.e., the on-off controller, the PI controller and the scheduling controller. The modeling will be useful in developing optimal control for high efficiency ITHS.

Research paper thumbnail of Optimal Algorithm For Satellite Tracking

Research paper thumbnail of Ascent - Sustainable System Architecture

Research paper thumbnail of Adaptable System Architecture for Integrated Hydronic System White Paper

Complex systems, especially non-homogeneous distributed systems, are subject of uncertainties whi... more Complex systems, especially non-homogeneous distributed systems, are subject of uncertainties which if unmanaged can lead to inadequate performance at best or worst, to unexpected catastrophic consequences. According to Systems Architecture, every system, however big or small, is always a part of a bigger system and in turn consists of a number of smaller subsystems. This is true for both natural and technical systems. Any complex technical system, in order to be successful, has to take into account its place in the hierarchy of other systems, as well as interdependency between the components of the system on each level. This is hardly an easy task but it is becoming even more difficult under the uncertainty in changing external conditions. An important conclusion of applying the principles of Systems Architecture to such systems is that it must be adaptable. The principles of Systems Architecture are universal [1], but there is hardly a more important area where they need to be app...

Research paper thumbnail of System architecture of the sustainable energy system for performance buildings

2013 IEEE Electrical Power & Energy Conference, 2013

ABSTRACT • A System Architecture approach to design sustainable energy system for performance bui... more ABSTRACT • A System Architecture approach to design sustainable energy system for performance building was proposed. • The knowledge-based Predictive Algorithm (ASPA) for optimal system configuration was developed. • ASPA has been implemented in the software program and tested through simulation and against selected stand-alone components. • The network-based advanced control system (ASCENT) is proposed

Research paper thumbnail of Predictive algorithm for sustainable system architecture

2013 26th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2013

Research paper thumbnail of Modeling and control for an integrated thermal hydronic system

2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), 2015

This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS)... more This paper presents modeling and control methods for an integrated thermal hydronic system (ITHS) consisting of a solar thermal collector, a thermal storage unit and a thermal booster. Control inputs are: valves activation time, pitch angle, solar pump rate and compressor rate, measurements are: temperatures at critical points, and disturbances are: ambient air temperature, source water temperature and the position of the sun relative to the plane of the solar thermal collector. In this context, the problem of maintaining temperature within the given range of the thermal storage is considered. To address this problem, the model is developed based on lumpedparameter analysis. Using the model, three controllers are tested in simulations, i.e., the on-off controller, the PI controller and the scheduling controller. The modeling will be useful in developing optimal control for high efficiency ITHS.