Title :
Adaptive Fuzzy Output Tracking Control of MIMO Nonlinear Uncertain Systems
Author :
Chen, Bing ; Liu, Xiaoping ; Tong, Shaocheng
Author_Institution :
Inst. of Complexity Sci., Qingdao Univ.
fDate :
4/1/2007 12:00:00 AM
Abstract :
In this paper, the adaptive fuzzy tracking control problem is discussed for a class of uncertain multiple-input-multiple-output (MIMO) nonlinear systems with the block-triangular structure. The fuzzy logic systems are used to approximate the unknown nonlinear functions. By using the backstepping technique, the adaptive fuzzy tracking control design scheme is developed, which has minimal learning parameterizations. The adaptive fuzzy tracking controllers guarantee that the outputs of systems converge to a small neighborhood of the reference signals and all the signals in the closed-loop system are semiglobally uniformly ultimately bounded. Two examples are used to show the effectiveness of the approach
Keywords :
MIMO systems; adaptive control; closed loop systems; control system synthesis; fuzzy control; nonlinear control systems; uncertain systems; MIMO nonlinear uncertain systems; adaptive fuzzy output tracking control; adaptive fuzzy tracking control design scheme; backstepping technique; block-triangular structure; closed-loop system; fuzzy logic systems; minimal learning parameterization; nonlinear functions; uncertain multiple-input-multiple-output nonlinear systems; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; MIMO; Nonlinear control systems; Nonlinear systems; Programmable control; Uncertain systems; Adaptive fuzzy control; backstepping; multiple-input–multiple-output (MIMO) nonlinear systems; output tracking; uncertainty;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
DOI :
10.1109/TFUZZ.2006.880008