Steven Ding - Profile on Academia.edu (original) (raw)

Papers by Steven Ding

Adaptive and Cooperative Sampling in Networked Control Systems

2007 IEEE International Conference on Networking, Sensing and Control, 2007

ABSTRACT The basic idea of this paper is to investigate quantitatively the influence of sampling ... more ABSTRACT The basic idea of this paper is to investigate quantitatively the influence of sampling periods on fault detection performance. Then, based on it, adaptive and cooperative sampling mechanisms in networked control systems can be designed optimally by taking into account the constraint of limited bandwidth.

Network optimization to improve the FDI/FTC method performances

Global Coordination and Control Development

ABSTRACT

European Journal of Control, 2007

This paper provides a tutorial overview of a number of aspects and approaches to Control over the... more This paper provides a tutorial overview of a number of aspects and approaches to Control over the Network for Network Control Systems (NCS) that are likely to lead to good fault-tolerant control properties, subject to network faults. In order to analyze and derive the best strategies for fault tolerant NCS, it is initially assumed that the network communication bandwidth is infinite. This gives a simpler way to map the NCS structure in terms of computing nodes and control subsystems/components. Two Fault-tolerant NCS architectures have been described, analyzed and compared with view to demonstrating that the classical concepts of Fault-tolerant Control (FTC), namely of active and passive FTC can be related to equivalent (although more complex) concepts in NCS. The study confirms that the decentralized approach to faulttolerant control of NCS suffers from a difficult challenge as to how to compensate for fault effects occurring throughout the NCS. On the other hand, the distributed hierarchical structure, requires a coordination function which is able to manage (a) the local control task, (b) the compensation of faults, and (c) the network reconfiguration, if required, subject to significant network subsystem faults.

Journal of Control Science and Engineering, 2008

This paper gives a review of some standard fault-detection (FD) problem formulations in discrete ... more This paper gives a review of some standard fault-detection (FD) problem formulations in discrete linear time-invariant systems and the available solutions. Based on it, recent development of FD in periodic systems and sampled-data systems is reviewed and presented. The focus in this paper is on the robustness and sensitivity issues in designing model-based FD systems.

Advances in Industrial Control, 2014

Obituary

European Journal of Control, 2006

On H-infinity Estimation of Randomly Occurring Faults for A Class of Nonlinear Time-Varying Systems with Fading Channels

IEEE Transactions on Automatic Control, 2015

ABSTRACT This paper is concerned with the finite-horizon H1 fault estimation problem for a class ... more ABSTRACT This paper is concerned with the finite-horizon H1 fault estimation problem for a class of nonlinear stochastic time-varying systems with both randomly occurring faults and fading channels. The system model (dynamical plant) is subject to Lipschitz-like nonlinearities and the faults occur in a random way governed by a set of Bernoulli distributed white sequences. The system measurements are transmitted through fading channels described by a modified stochastic Rice fading model. The purpose of the addressed problem is to design a time-varying fault estimator such that, in the presence of channel fading and randomly occurring faults, the influence from the exogenous disturbances onto the estimation errors is attenuated at the given level quantified by a H1-norm in the mean square sense. By utilizing the stochastic analysis techniques, sufficient conditions are established to ensure that the dy- namic system under consideration satisfies the prespecified performance constraint on the fault estimation, and then a recursive linear matrix inequality approach is employed to design the desired fault estimator gains. Simulation results demonstrate the effectiveness of the developed fault estimation design scheme.

Delay-dependent fault estimation for uncertain time-delay nonlinear systems: an LMI approach

International Journal of Robust and Nonlinear Control, 2006

ABSTRACT

IEEE Transactions on Industrial Electronics, 2000

Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-d... more Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-driven methods have been receiving considerably increasing attention, particularly for the purpose of process monitoring. However, great challenges are also met under different real operating conditions by using the basic data-driven methods. In this paper, widely applied data-driven methodologies suggested in the literature for process monitoring and fault diagnosis are surveyed from the application point of view. The major task of this paper is to sketch a basic data-driven design framework with necessary modifications under various industrial operating conditions, aiming to offer a reference for industrial process monitoring on large-scale industrial processes.

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2003

This paper deals with the fault detection filter design problem for linear time invariant timedel... more This paper deals with the fault detection filter design problem for linear time invariant timedelay systems with unknown input. The core of our study is to a) take the behavior of delayed state and measurement into consideration when the observer-based fault d e tection filter is constructed; b) solve the formulated fault detection filter design problem by combining of using the left eigenstructure assignment approach and H, optimization technique. Through a suitable choice of the filter gain matrices and residual weighting matrix, the residual can be completely decoupled from the delay-free unknown input, while the iduence of the delayed unknown input on residual is minimized in the sense of H , norm. Numerical simulation is used to illustrate the efficiency of the proposed method.

An observer-based fault detection scheme for a class of neutral time-delay systems

The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002

ABSTRACT First Page of the Article

An LMI approach to fault detection performance enhancement

The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002

ABSTRACT First Page of the Article

An LMI approach to design robust fault detection observers

Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527), 2002

... June 10-14, 2002, Shanghai, PRChina 2707 r PB ' CT PE PE - ... d = ( A + AA)%d + (B ... more ... June 10-14, 2002, Shanghai, PRChina 2707 r PB ' CT PE PE - ... d = ( A + AA)%d + (B + AB)u + Bd d (20) others, Si,j = 0 if = (A+ AA)Zf + Bj f (21) & = AAXd -t (A - HdC)ed - HdCef (22) SABU - HdDf f + (Bd - HdDd)d if = AAzf - HfCed + ( A - HfC)ef (23) Proof. ...

Embedded model-based fault diagnosis for on-board diagnosis of engine control systems

IEEE Conference on Control Applications, 2005

In this paper, a model-based fault diagnosis scheme for on-board diagnosis in spark ignition (SI)... more In this paper, a model-based fault diagnosis scheme for on-board diagnosis in spark ignition (SI) engine control systems is presented. The developed fault diagnosis system fully makes use of the available control structure and is embedded into the control loops. As a result, the implementation of the diagnosis system is realized with low demands on engineering costs, computational power and

A new fault detection approach based on parity relation and stationary wavelet transform

Proceedings of the 2003 American Control Conference, 2003., 2003

In traditional parity space approaches for fault detection, a parity vector of low order means a ... more In traditional parity space approaches for fault detection, a parity vector of low order means a simple online realization but a bad performance index, while that of high order leads to a good performance index but an unacceptable calculation amount and a high possibility of miss detection. In this paper, by introducing the so-called stationary wavelet transform (SWT) into the

Fault detection of uncertain systems based on probabilistic robustness theory

Proceedings of the 2005, American Control Conference, 2005., 2005

ABSTRACT This paper studies the fault detection problem of uncertain linear systems with arbitrar... more ABSTRACT This paper studies the fault detection problem of uncertain linear systems with arbitrary uncertainty structure. With the aid of probabilistic robustness technique, an approach is developed to determine parameters of observer-based residual generators by incorporating probability distribution of model uncertainty in the design. One advantage of the approach is that it needs no assumptions on the structure of model uncertainty. Examples are given to illustrate the proposed design procedure.

Parity space based FDI-scheme for vehicle lateral dynamics

Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005., 2005

In this paper, a model-based FDI-scheme for the detection and isolation of sensor faults in the v... more In this paper, a model-based FDI-scheme for the detection and isolation of sensor faults in the vehicle lateral dynamics control system ESP is presented. The main objective is to handle the model uncertainties and to isolate faults. In order to reduce false alarm rate on the one hand and to ensure fault detectability on the other hand, a parity space

Robust D-stable fault tolerant control for delta operator formulated uncertain systems with state delays

This paper is concerned with the problem of fault tolerant control for delta operator time-delay ... more This paper is concerned with the problem of fault tolerant control for delta operator time-delay uncertain systems with regional pole constraints. Sufficient conditions of robust D-stability for delta operator formulated fault tolerant control systems with state delay are presented in terms of Lyapunov-Krasovskii stability theory and Linear Matrix Inequality (LMI) approach. When this LMI is feasible, the parameterized representation of

Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification

International Conference on Neural Information Processing, 2006

By kernelizing the traditional least-square based identification method, an adaptive kernel learn... more By kernelizing the traditional least-square based identification method, an adaptive kernel learning (AKL) network is proposed for nonlinear process modeling, which utilizes kernel mapping and geometric angle to build the network topology adaptively. The generalization ability of AKL network is controlled by introducing a regularized optimization function. Two forms of learning strategies are addressed and their corresponding recursive algorithms are

Adaptive and Cooperative Sampling in Networked Control Systems

2007 IEEE International Conference on Networking, Sensing and Control, 2007

ABSTRACT The basic idea of this paper is to investigate quantitatively the influence of sampling ... more ABSTRACT The basic idea of this paper is to investigate quantitatively the influence of sampling periods on fault detection performance. Then, based on it, adaptive and cooperative sampling mechanisms in networked control systems can be designed optimally by taking into account the constraint of limited bandwidth.

Network optimization to improve the FDI/FTC method performances

Global Coordination and Control Development

ABSTRACT

European Journal of Control, 2007

This paper provides a tutorial overview of a number of aspects and approaches to Control over the... more This paper provides a tutorial overview of a number of aspects and approaches to Control over the Network for Network Control Systems (NCS) that are likely to lead to good fault-tolerant control properties, subject to network faults. In order to analyze and derive the best strategies for fault tolerant NCS, it is initially assumed that the network communication bandwidth is infinite. This gives a simpler way to map the NCS structure in terms of computing nodes and control subsystems/components. Two Fault-tolerant NCS architectures have been described, analyzed and compared with view to demonstrating that the classical concepts of Fault-tolerant Control (FTC), namely of active and passive FTC can be related to equivalent (although more complex) concepts in NCS. The study confirms that the decentralized approach to faulttolerant control of NCS suffers from a difficult challenge as to how to compensate for fault effects occurring throughout the NCS. On the other hand, the distributed hierarchical structure, requires a coordination function which is able to manage (a) the local control task, (b) the compensation of faults, and (c) the network reconfiguration, if required, subject to significant network subsystem faults.

Journal of Control Science and Engineering, 2008

This paper gives a review of some standard fault-detection (FD) problem formulations in discrete ... more This paper gives a review of some standard fault-detection (FD) problem formulations in discrete linear time-invariant systems and the available solutions. Based on it, recent development of FD in periodic systems and sampled-data systems is reviewed and presented. The focus in this paper is on the robustness and sensitivity issues in designing model-based FD systems.

Advances in Industrial Control, 2014

Obituary

European Journal of Control, 2006

On H-infinity Estimation of Randomly Occurring Faults for A Class of Nonlinear Time-Varying Systems with Fading Channels

IEEE Transactions on Automatic Control, 2015

ABSTRACT This paper is concerned with the finite-horizon H1 fault estimation problem for a class ... more ABSTRACT This paper is concerned with the finite-horizon H1 fault estimation problem for a class of nonlinear stochastic time-varying systems with both randomly occurring faults and fading channels. The system model (dynamical plant) is subject to Lipschitz-like nonlinearities and the faults occur in a random way governed by a set of Bernoulli distributed white sequences. The system measurements are transmitted through fading channels described by a modified stochastic Rice fading model. The purpose of the addressed problem is to design a time-varying fault estimator such that, in the presence of channel fading and randomly occurring faults, the influence from the exogenous disturbances onto the estimation errors is attenuated at the given level quantified by a H1-norm in the mean square sense. By utilizing the stochastic analysis techniques, sufficient conditions are established to ensure that the dy- namic system under consideration satisfies the prespecified performance constraint on the fault estimation, and then a recursive linear matrix inequality approach is employed to design the desired fault estimator gains. Simulation results demonstrate the effectiveness of the developed fault estimation design scheme.

Delay-dependent fault estimation for uncertain time-delay nonlinear systems: an LMI approach

International Journal of Robust and Nonlinear Control, 2006

ABSTRACT

IEEE Transactions on Industrial Electronics, 2000

Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-d... more Recently, to ensure the reliability and safety of modern large-scale industrial processes, data-driven methods have been receiving considerably increasing attention, particularly for the purpose of process monitoring. However, great challenges are also met under different real operating conditions by using the basic data-driven methods. In this paper, widely applied data-driven methodologies suggested in the literature for process monitoring and fault diagnosis are surveyed from the application point of view. The major task of this paper is to sketch a basic data-driven design framework with necessary modifications under various industrial operating conditions, aiming to offer a reference for industrial process monitoring on large-scale industrial processes.

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2003

This paper deals with the fault detection filter design problem for linear time invariant timedel... more This paper deals with the fault detection filter design problem for linear time invariant timedelay systems with unknown input. The core of our study is to a) take the behavior of delayed state and measurement into consideration when the observer-based fault d e tection filter is constructed; b) solve the formulated fault detection filter design problem by combining of using the left eigenstructure assignment approach and H, optimization technique. Through a suitable choice of the filter gain matrices and residual weighting matrix, the residual can be completely decoupled from the delay-free unknown input, while the iduence of the delayed unknown input on residual is minimized in the sense of H , norm. Numerical simulation is used to illustrate the efficiency of the proposed method.

An observer-based fault detection scheme for a class of neutral time-delay systems

The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002

ABSTRACT First Page of the Article

An LMI approach to fault detection performance enhancement

The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002

ABSTRACT First Page of the Article

An LMI approach to design robust fault detection observers

Proceedings of the 4th World Congress on Intelligent Control and Automation (Cat. No.02EX527), 2002

... June 10-14, 2002, Shanghai, PRChina 2707 r PB ' CT PE PE - ... d = ( A + AA)%d + (B ... more ... June 10-14, 2002, Shanghai, PRChina 2707 r PB ' CT PE PE - ... d = ( A + AA)%d + (B + AB)u + Bd d (20) others, Si,j = 0 if = (A+ AA)Zf + Bj f (21) & = AAXd -t (A - HdC)ed - HdCef (22) SABU - HdDf f + (Bd - HdDd)d if = AAzf - HfCed + ( A - HfC)ef (23) Proof. ...

Embedded model-based fault diagnosis for on-board diagnosis of engine control systems

IEEE Conference on Control Applications, 2005

In this paper, a model-based fault diagnosis scheme for on-board diagnosis in spark ignition (SI)... more In this paper, a model-based fault diagnosis scheme for on-board diagnosis in spark ignition (SI) engine control systems is presented. The developed fault diagnosis system fully makes use of the available control structure and is embedded into the control loops. As a result, the implementation of the diagnosis system is realized with low demands on engineering costs, computational power and

A new fault detection approach based on parity relation and stationary wavelet transform

Proceedings of the 2003 American Control Conference, 2003., 2003

In traditional parity space approaches for fault detection, a parity vector of low order means a ... more In traditional parity space approaches for fault detection, a parity vector of low order means a simple online realization but a bad performance index, while that of high order leads to a good performance index but an unacceptable calculation amount and a high possibility of miss detection. In this paper, by introducing the so-called stationary wavelet transform (SWT) into the

Fault detection of uncertain systems based on probabilistic robustness theory

Proceedings of the 2005, American Control Conference, 2005., 2005

ABSTRACT This paper studies the fault detection problem of uncertain linear systems with arbitrar... more ABSTRACT This paper studies the fault detection problem of uncertain linear systems with arbitrary uncertainty structure. With the aid of probabilistic robustness technique, an approach is developed to determine parameters of observer-based residual generators by incorporating probability distribution of model uncertainty in the design. One advantage of the approach is that it needs no assumptions on the structure of model uncertainty. Examples are given to illustrate the proposed design procedure.

Parity space based FDI-scheme for vehicle lateral dynamics

Proceedings of 2005 IEEE Conference on Control Applications, 2005. CCA 2005., 2005

In this paper, a model-based FDI-scheme for the detection and isolation of sensor faults in the v... more In this paper, a model-based FDI-scheme for the detection and isolation of sensor faults in the vehicle lateral dynamics control system ESP is presented. The main objective is to handle the model uncertainties and to isolate faults. In order to reduce false alarm rate on the one hand and to ensure fault detectability on the other hand, a parity space

Robust D-stable fault tolerant control for delta operator formulated uncertain systems with state delays

This paper is concerned with the problem of fault tolerant control for delta operator time-delay ... more This paper is concerned with the problem of fault tolerant control for delta operator time-delay uncertain systems with regional pole constraints. Sufficient conditions of robust D-stability for delta operator formulated fault tolerant control systems with state delay are presented in terms of Lyapunov-Krasovskii stability theory and Linear Matrix Inequality (LMI) approach. When this LMI is feasible, the parameterized representation of

Adaptive Kernel Leaning Networks with Application to Nonlinear System Identification

International Conference on Neural Information Processing, 2006

By kernelizing the traditional least-square based identification method, an adaptive kernel learn... more By kernelizing the traditional least-square based identification method, an adaptive kernel learning (AKL) network is proposed for nonlinear process modeling, which utilizes kernel mapping and geometric angle to build the network topology adaptively. The generalization ability of AKL network is controlled by introducing a regularized optimization function. Two forms of learning strategies are addressed and their corresponding recursive algorithms are