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Robust decentralized direct adaptive output feedback fuzzy control for a class of large-sale nonaffine nonlinear systems
Authors:Yi-Shao Huang  Min Wu
Affiliation:a School of Information Science and Engineering, Central South University, Changsha 410083, P.R. China
b School of Traffic and Transportation Engineering, Changsha University of Science and Technology, Changsha 410114, P.R. China
Abstract:In the previous work of Huang et al., a decentralized direct adaptive fuzzy H tracking controller of large-scale nonaffine nonlinear systems is obtained predicated upon the assumption that the mismatching error dynamics stay squared integrable. In this note, we focus in the absence of the conservative assumption upon developing a robust decentralized direct adaptive output feedback fuzzy controller. By combination of a state observer, a fuzzy inference system and robust control technique, the previous controller design is modified and no a priori knowledge of bounds on lumped uncertainties is required. All the signals of the closed-loop large-scale system are proved to be uniformly ultimately bounded. The effectiveness of the developed scheme is demonstrated through the simulation results of interconnected inverted pendulums.
Keywords:Large-scale systems  Nonaffine nonlinear  Fuzzy control  Observer  Robust  Decentralized control  Strictly positive-real (SPR)
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