Adaptive Fuzzy Decentralized Control for Nonlinear Large Scale Systems in Strict Feedback Form
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This paper presents a new direct adaptive decentralized controller for a class of large-scale nonlinear systems in strict feedback form. Based on backstepping approach, the direct scheme is developed using Fuzzy Logic Systems to approximate the control signals. A main advantage of this method is that for each subsystem, only one parameter is needed to be adjusted. It is shown, through an original procedure that the designed local adaptive controllers can globally stabilize the overall interconnected system asymptotically, and ensure the convergence of system outputs to a small neighbourhood of the reference signals. Simulation results demonstrate the effectiveness of the proposed approach.
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