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Delay-Dependent Guaranteed Cost Control for Uncertain Neutral Systems with Distributed Delays
Yongmin Li,Shengyuan Xu,Baoyong Zhang,Yuming Chu 대한전기학회 2008 International Journal of Control, Automation, and Vol.6 No.1
This paper considers the problem of delay-dependent guaranteed cost controller design for uncertain neutral systems with distributed delays. The system under consideration is subject to norm-bounded time-varying parametric uncertainty appearing in all the matrices of the state-space model. By constructing appropriate Lyapunov functionals and using matrix inequality techniques, a state feedback controller is designed such that the resulting closed-loop system is not only robustly stable but also guarantees an adequate level of performance for all admissible uncertainties. Furthermore, a convex optimization problem is introduced to minimize a specified cost bound. By matrix transformation techniques, the corresponding optimal guaranteed controller can be obtained by solving a linear matrix inequality. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed approach.
Resilient Filtering for Delayed Markov Jump Neural Networks via Event-triggered Strategy
Weifeng Xia,Yongmin Li,Zuxin Li,Shuxin Du,Bo Li,Wenbin Chen 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.10
This paper deals with the event triggered filtering problem for a class of delayed discrete-time Markov jump neural networks, where a resilient filter with parameter uncertainties is adopted. The aim of this paper is to design a suitable filter which ensures that the filtering error system is stochastically stable and satisfies a prescribed mixed passivity and H∞ performance. Sufficient conditions for solvability of such a problem are developed. Basedon the obtained conditions, an explicit expression of the desired resilient filter is proposed. Finally, an example is presented to show the usefulness of the proposed scheme.
Observer-Based H∞ Control for Networked Systems with Consecutive Packet Delays and Losses
Fuwen Yang,Yugang Niu,Wu Wang,Yongmin Li 제어·로봇·시스템학회 2010 International Journal of Control, Automation, and Vol.8 No.4
This paper considers the control problem for networked control systems (NCSs) with unreliable data communication. The unreliable data communication simultaneously exists in both control channel (from controller to actuator) and measurement channel (from sensor to controller) and may cause consecutive packet delays and losses. A new model is established based on all possible consecutive packet delays and losses. The observer-based controller is designed to exponentially stabilize the networked system in the sense of mean square, and also achieve the prescribed H∞ disturbance attenuation level. An iterative algorithm is developed to compute the optimal H∞ disturbance attenuation and the controller parameters by solving the semi-definite programming problem via interior-point approach. An illustrative example is provided to show the applicability of the proposed method.
Runan Guo,Ziye Zhang,Chong Lin,Yuming Chu,Yongmin Li 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.3
This paper considers the finite time state estimation problem of complex-valued bidirectional associativememory (BAM) neutral-type neural networks with time-varying delays. By resorting to the Lyapunov functionapproach, the Wirtinger inequality and the reciprocally convex approach, a delay-dependent criterion in terms ofLMIs is established to guarantee the finite-time boundedness of the error-state system for the addressed system. Meanwhile, an effective state estimator is designed to estimate the network states through the available outputmeasurements. Finally, a numerical example is presented to demonstrate the effectiveness of the proposed results.