Title :
Adaptive Fuzzy Tracking Control for a Class of MIMO Nonlinear Systems in Nonstrict-Feedback Form
Author :
Bing Chen ; Chong Lin ; Xiaoping Liu ; Kefu Liu
Author_Institution :
Inst. of Complexity Sci., Qingdao Univ., Qingdao, China
Abstract :
This paper focuses on the problem of fuzzy adaptive control for a class of multiinput and multioutput (MIMO) nonlinear systems in nonstrict-feedback form, which contains the strict-feedback form as a special case. By the condition of variable partition, a new fuzzy adaptive backstepping is proposed for such a class of nonlinear MIMO systems. The suggested fuzzy adaptive controller guarantees that the proposed control scheme can guarantee that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded and the tracking errors eventually converge to a small neighborhood around the origin. The main advantage of this paper is that a control approach is systematically derived for nonlinear systems with strong interconnected terms which are the functions of all states of the whole system. Simulation results further illustrate the effectiveness of the suggested approach.
Keywords :
MIMO systems; adaptive control; closed loop systems; control nonlinearities; fuzzy control; interconnected systems; nonlinear control systems; MIMO nonlinear systems; adaptive fuzzy tracking control; closed-loop system; fuzzy adaptive backstepping; interconnected terms; multiinput and multioutput nonlinear systems; nonstrict-feedback form; semiglobally uniformly ultimately bounded; tracking errors; variable partition; Adaptive control; Approximation methods; Backstepping; Fuzzy logic; MIMO; Nonlinear systems; Backstepping; fuzzy adaptive control; fuzzy logic systems; multiinput and multioutput (MIMO) nonlinear systems; multiinput and multioutput (MIMO) nonlinear systems.;
Journal_Title :
Cybernetics, IEEE Transactions on
DOI :
10.1109/TCYB.2014.2383378