Robust nonlinear variable selective control for networked systems. Issue 13 (2nd October 2016)

• Record Type: Journal Article
• Authors: Rahmani, Behrooz
• Is Part Of: International journal of systems science. Volume 47:Issue 13(2016)
• Page Start: 3180
• Page End: 3192
• Publication Date: 2016-10-02
• Subjects: Uncertain nonlinear networked control system -- robust nonlinear variable selective control -- Takagi–Sugeno fuzzy modelling -- optimal switching-fuzzy controller; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2015.1107150
• Languages: English
• ISSNs: 0020-7721

Abstract

ABSTRACT: This paper is concerned with the networked control of a class of uncertain nonlinear systems. In this way, Takagi–Sugeno (T-S) fuzzy modelling is used to extend the previously proposed variable selective control (VSC) methodology to nonlinear systems. This extension is based upon the decomposition of the nonlinear system to a set of fuzzy-blended locally linearised subsystems and further application of the VSC methodology to each subsystem. To increase the applicability of the T-S approach for uncertain nonlinear networked control systems, this study considers the asynchronous premise variables in the plant and the controller, and then introduces a robust stability analysis and control synthesis. The resulting optimal switching-fuzzy controller provides a minimum guaranteed cost on an H2 performance index. Simulation studies on three nonlinear benchmark problems demonstrate the effectiveness of the proposed method.