Steven Ding | University of Duisburg-Essen (original) (raw)
Papers by Steven Ding
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.
European Journal of Control, 2007
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
European Journal of Control, 2006
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.
International Journal of Robust and Nonlinear Control, 2006
ABSTRACT
IEEE Transactions on Industrial Electronics, 2000
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2003
The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002
ABSTRACT First Page of the Article
The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002
ABSTRACT First Page of the Article
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. ...
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
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
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.
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
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
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
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.
European Journal of Control, 2007
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
European Journal of Control, 2006
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.
International Journal of Robust and Nonlinear Control, 2006
ABSTRACT
IEEE Transactions on Industrial Electronics, 2000
42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2003
The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002
ABSTRACT First Page of the Article
The 2002 International Conference on Control and Automation, 2002. ICCA. Final Program and Book of Abstracts., 2002
ABSTRACT First Page of the Article
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. ...
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
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
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.
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
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
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