4.7 Article

Functional observer-based finite-time adaptive ISMC for continuous systems with unknown nonlinear function

期刊

AUTOMATICA
卷 125, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.automatica.2020.109468

关键词

Functional observer; Finite-time boundedness (FTB); Adaptive integral sliding mode control (ISMC); H-infinity control

资金

  1. National Natural Science Foundation of China [61433004, 61773099]
  2. Australian Research Council [DP120104986]

向作者/读者索取更多资源

This paper presents a finite-time adaptive integral sliding mode control method based on a functional observer, with an adaptive compensator designed to handle the effect of unknown nonlinear function for ensuring boundedness in a predefined finite time. Some sufficient conditions are proposed to guarantee finite-time boundedness with H-infinity performance, and the flexibility and conservatism of the designed controller are improved by introducing more degrees of freedom in the functional observer. The validity of the proposed method is demonstrated through a simulation example.
This paper is concerned with functional observer-based finite-time adaptive integral sliding mode control (ISMC) for continuous systems with unknown nonlinear function. First, a novel finite-time ISMC framework is established based on the functional observer whose parameters can be directly found. Second, an adaptive compensator is designed to counteract the effect of the unknown nonlinear function such that the composite integral sliding mode controller ensures that the closed-loop system reaches boundedness in a predefined finite time. Moreover, some sufficient conditions in the form of matrix inequalities are proposed to guarantee the finite-time boundedness with H-infinity performance (FTB-H-infinity) over the sliding phase and the reaching phase of the closed-loop system. Then the FTB-H-infinity conditions over the whole finite-time interval are also provided. Due to introducing more degrees of freedom in the functional observer, the designed finite-time integral sliding mode controller is more flexible and less conservative. Finally, a simulation example is given to show the validity of the proposed method. (C) 2020 Elsevier Ltd. All rights reserved.

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