Journal
NONLINEAR DYNAMICS
Volume 69, Issue 4, Pages 1665-1677Publisher
SPRINGER
DOI: 10.1007/s11071-012-0377-3
Keywords
Large-scale nonlinear systems; Adaptive fuzzy control; High-gain observer (HGO); Singular
Categories
Funding
- National Natural Science Foundation of China [61104014, 60425310, 60974045, 60964004]
- Open Fund of the Key Laboratory of Highway Engineering (Changsha University of Science Technology)
- Ministry of Education [kfj110101]
- China Postdoctoral Science Foundation [20110491270, 20110491272]
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This paper develops two novel decentralized adaptive fuzzy control methods of large-scale nonaffine uncertain nonlinear systems. By using a fuzzy inference system and implicit function theorem, a decentralized direct adaptive state feedback fuzzy control algorithm is firstly presented for a class of large-scale nonaffine continuous-time systems. By using a high-gain observer to reconstruct the system states, an extension is made to a decentralized output feedback control of unmeasurable interactive nonaffine systems. The decentralized adaptive fuzzy control schemes via state and output feedback guarantee the stability of the closed-loop large-scale systems. The effectiveness of the developed approaches is demonstrated through simulation results of a platoon of vehicles within an automated highway system.
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