Single-approximation-based adaptive control of a class of nonlinear time-delay systems

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7
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9

초록

This paper presents a simple adaptive control approach for uncertain strict-feedback nonlinear systems with unknown time-varying delays. All nonlinear functions and time delays in the systems are assumed to be unknown. Compared with the existing works, the contribution of this study is the design of a simple adaptive control law using single function approximator, without the implementation of virtual controllers derived from the backstepping design procedure. Unlike the existing backstepping methods, virtual controllers are only used as intermediate signals for designing the actual control. Therefore, the proposed control scheme is simpler than the existing methods for strict-feedback time-delay systems because the problems of using multiple approximators and calculating virtual controllers are eliminated. In addition, it is shown that all signals in the closed-loop system are uniformly ultimately bounded.

키워드

Adaptive control; Single function approximator; Unknown state delays; Backstepping; DYNAMIC SURFACE CONTROL; OUTPUT-FEEDBACK CONTROL; NEURAL-CONTROL; OBSERVER
제목
Single-approximation-based adaptive control of a class of nonlinear time-delay systems
저자
Choi, Yun Ho; Yoo, Sung Jin
DOI
10.1007/s00521-015-1919-7
발행일
2016-05
유형
Article
저널명
Neural Computing and Applications
권
27
호
4
페이지
1041 ~ 1052