Decentralized adaptive fuzzy control for a class of large-scale MIMO nonlinear systems with strong interconnection and its application to automated highway systems

• DOI: 10.1016/j.ins.2014.02.132
• Publication Date: 2014-03-21T06:01:14Z
• Authors: Yi-Shao Huang; Zhen-Yu Wang
• Keywords: decentralized control; large-scale nonlinear system; automated highway system (ahs); adaptive fuzzy control; Transportation; Transportation Engineering; 02 engineering and technology; controller singularity; 629; Engineering; strong interconnection; Public Policy and Public Administration; Public Affairs; 0202 electrical engineering, electronic engineering, information engineering

Abstract In the previous work of Huang et al., a decentralized adaptive fuzzy controller of large-scale multiple-input multiple-output nonlinear systems is obtained predicated upon the assumption that the interconnections between subsystems can be bounded by first-order polynomials. In this note, we focus in the absence of the conservative assumption upon developing a novel decentralized adaptive fuzzy control scheme. In virtue of fuzzy systems and a regularized inverse matrix, the developed control scheme not only addresses controller singularity under an overall design framework but also copes with interconnections with arbitrary nonlinear bounds. The resulting closed-loop large-scale system is proved to be asymptotically stable. The controller design is applicable to an automated highway system, and simulation results confirm its practical usefulness.