Observer-based Adaptive Control for a Class of Uncertain Switched Systems with Time-delay: A Sliding Mode Approach

2020 ◽  
Vol 18 (11) ◽  
pp. 2907-2916
Author(s):  
Luxin Lin ◽  
Zhen Liu ◽  
Yonggui Kao ◽  
Ruiping Xu
2013 ◽  
Vol 350 (1) ◽  
pp. 19-33 ◽  
Author(s):  
Xiaoxi Yu ◽  
Chunfeng Wu ◽  
Fangzhou Liu ◽  
Ligang Wu

2016 ◽  
Vol 9 (10) ◽  
pp. 293-302 ◽  
Author(s):  
Zhaolan He ◽  
Jing Wang ◽  
Zongze Liu ◽  
Jie Zhao

2018 ◽  
Vol 2018 ◽  
pp. 1-11
Author(s):  
Chao Zhang ◽  
Xing Wang ◽  
Zhengfeng Ming ◽  
Zhuang Cai

This paper proposes an enhanced robust control method, which is for thyristor controlled series compensator (TCSC) in presences of time-delay nonlinearity, uncertain parameter, and external disturbances. Unlike conventional adaptive control methods, the uncertain parameter is estimated by using system immersion and manifold invariant (I&I) adaptive control. Thus, the oscillation of states caused by the coupling between parameter estimator and system states can be avoided. In addition, in order to overcome the influences of time-delay nonlinearity and external disturbances, backstepping sliding mode control is adopted to design control law recursively. Furthermore, robustness of TCSC control subsystem is achievable provided that dissipation inequality is satisfied in each step. Effectiveness and efficiencies of the proposed control method are verified by simulations. Compared with adaptive backstepping sliding mode control and adaptive backstepping control, the time of reaching steady state is shortened by at least 11% and the oscillation amplitudes of transient responses are reduced by at most 50%.


Author(s):  
Spyros G. Tzafestas ◽  
Andreas-Ioannis Mantelos

This chapter presents the state-of-art of the bilateral teleoperation field. It starts with a discusion of the early class of techniques, which are based on passivity and scattering theory. The main issue in bilateral telerobotic systems is the communication delay between the operator and the remote site (environment), which (if not treated) can lead the system to instability. The chapter continues by presenting the evolution of modern control techniques for stabilization and compensation of the time delay consequences. These techniques include predictive control, adaptive control, sliding-mode robust control, neural learning control, fuzzy control, and neurofuzzy control. Four case studies are reviewed that show what kind of results can be obtained.


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