Decentralized Adaptive Fuzzy Control for a Class of Large-Scale Mimo Nonlinear Systems with Strong Interconnection and Its Application to Automated Highway Systems
adaptive fuzzy control, automated highway system (ahs), controller singularity, decentralized control, large-scale nonlinear system, strong interconnection
Digital Object Identifier (DOI)
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.
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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 and Staff Publications. 127.