Decentralized Adaptive Fuzzy Control for a Class of Large-Scale Mimo Nonlinear Systems with Strong Interconnection and Its Application to Automated Highway Systems
Document Type
Article
Publication Date
8-2014
Keywords
adaptive fuzzy control, automated highway system (ahs), controller singularity, decentralized control, large-scale nonlinear system, strong interconnection
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.ins.2014.02.132
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.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
Information Sciences, v. 274, p. 210-224
Scholar Commons Citation
Huang, Yi-Shao and Wang, Zhenyu, "Decentralized Adaptive Fuzzy Control for a Class of Large-Scale Mimo Nonlinear Systems with Strong Interconnection and Its Application to Automated Highway Systems" (2014). CUTR Faculty Journal Publications. 127.
https://digitalcommons.usf.edu/cutr_facpub/127
