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Yanjiu Zhou,Baotong Cui,Xuyang Lou 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.2
The dynamic H∞ feedback boundary control for a class of parabolic distributed parameter systems with a non-constant (spatially varying) diffusion rate is addressed in this paper. The observer-based controller is designed to deal with non-collocated sensors and actuators, and the H∞ performance index is employed to tackle the influence of the external disturbance and measurement noise. The resulting closed-loop system is formed by the boundary actuation with the H∞ control strategy, and the output feedback is designed from the domain-averaged and boundary valued measurement, respectively. With the sufficient conditions of the linear matrix inequality that infer the stability of the system, the corresponding gains of observer and controller are solved. Numerical simulations are given to show the validity of the main results.
Huansen Fu,Baotong Cui,Bo Zhuang,Jianzhong Zhang 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.7
This paper addresses the anti-collision problem among mobile sensors-actuators, and settles the obstacle avoidance trouble between dynamic sensors-actuators and erratic obstacles in mobile sensor-actuator networks, which are based on a class of distributed parameter systems with time-varying delay. Initially, the radar obstacle avoidance technology is evolved into an obstacle avoidance function, combined with the anti-collision function. Subsequently, the static output feedback controller of distributed parameter systems is established. Then, by usingthe abstract development equation theory, operator semigroup approach and Lyapunov stability arguments, the stability analysis of the distributed parameter systems with time-varying delay is carried out. Moreover, an iterative and continuous control force on account of Newton’s second law is constructed, which makes anti-collision and obstacle avoidance control of mobile sensors-actuators be realized, and accelerates the state of this delayed system to be stable. Finally, numerical simulation results indicate that the proposed control strategy is effective.
Stabilization Analysis of Stochastic Hopfield Neural Networks
Xuyang Lou,Qian Ye,Baotong Cui 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
The paper is concerned with stabilization of stochastic Hopfield neural networks (SHNNs) with time delay. First, we discuss the stabilization of SHNNs without delay in stochastic perturbation and design a stabilization controller. Then, we extend the theory to cope with the stabilization of SHNNs with delay in stochastic perturbation and two stabilization conditions are exploited.