所属单位：自动化学院

发表刊物：AUTOMATICA

关键字：Automation & Control Systems; Engineering, Electrical & Electronic

摘要：This paper investigates the output tracking control problem for multi-input multi-output (MIMO) uncertain pure-feedback systems subject to time-varying asymmetric output constraints, where the states are polluted by multiplicative/additive faults. By incorporating some auxiliary functions into a backstepping-like design procedure, a smooth adaptive control scheme is constructed using neural network (NN) approximation, making the closed-loop dynamics exhibits a unique feasible solution with all the involved signals evolving within some compact sets during a finite time interval. As a result, the safety and reliability of the application of NN approximators is guaranteed in advance and the algebraic loop issue arising from the control input coupling is removed completely. Thereafter, by combining the Lyapunov stability analysis with contradiction, the boundedness of those signals over the entire time domain is established. It is shown that with the proposed control scheme, the impact of the sensor faults from all state (except for output) on the output tracking is counteracted automatically while maintaining the output constraints. Furthermore, the proposed method enlarges the pure feedback systems considered by relaxing the state-of-the-art controllability conditions. Finally, the efficacy of the approach is verified and clarified via simulation studies.

第一作者：黄秀财

通讯作者：SONG,YONG DUAN

合写作者：Wen, CY(外)

论文类型：期刊论文

论文编号：246274

卷号：147

页面范围：-

ISSN号：0005-1098

是否译文：否

发表时间：2023-01-01

附件：：1-s2.0-S0005109822005660-main.pdf