Adaptive output-feedback tracking control for a class of nonlinear systems with input saturation: a multi-dimensional Taylor network-based approach. Issue 13 (2nd October 2020)

• Record Type: Journal Article
• Authors: Han, Yu-Qun
• Is Part Of: International journal of systems science. Volume 51:Issue 13(2020)
• Page Start: 2471
• Page End: 2482
• Publication Date: 2020-10-02
• Subjects: Multi-dimensional Taylor network -- adaptive control -- nonlinear systems -- input constraints -- backstepping; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2020.1797226
• Languages: English
• ISSNs: 0020-7721

Abstract

Abstract : For the nonlinear systems with input saturation constraint, a novel MTN-based output-feedback control strategy is developed via backstepping in this paper. Firstly, an MTN-based nonlinear state observer is designed to estimate the unmeasured states. Secondly, multi-dimensional Taylor networks (MTNs) are used to deal with the unknown nonlinear functions, based on this, the procedure of the adaptive MTN output-feedback controller design is developed by combining backstepping approach and dynamic surface control technique, and then the stability of the closed-loop system is proved based on the principle of Lyapunov stability theory. Finally, the theoretical results of this paper are demonstrated by two examples.