1DEPARTMENT OF ELECTRICAL ENGINEERING, UNIVERSITY OF QOM, QOM, IRAN
2DEPARTMENT OF ELECTRICAL ENGINEERING, AMIRKABIR UNIVERSITY OF TECHNOLOGY, TEHRAN, IRAN, AND QIAU’S INCUBATOR CENTER OF TECHNOLOGY UNITS (CENTER OF COGNITIVE SYSTEMS), QAZVIN, IRAN
In this paper, an observer based fuzzy adaptive controller (FAC) is designed for a class of large scale systems with non-canonical non-affine nonlinear subsystems. It is assumed that functions of the subsystems and the interactions among subsystems are unknown. By constructing a new class of state observer for each follower, the proposed consensus control method solves the problem of unmeasured states of nonlinear noncanonical non-affine subsystems. The main characteristics of the proposed observer-based intelligent controller are: 1) on-line adaptation of the controller and the observer parameters, 2) ultimate boundedness of both the output and the observer errors, 3) boundedness of all signals involved, 4) employing experts’ knowledge in the controller design procedure and 5) chattering avoidance. The simulation results are further carried out to demonstrate better the effectiveness of the proposed fuzzy based consensus controller method.
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