Fuzzy Adaptive Output Feedback Control of MIMO Nonlinear Systems With Partial Tracking Errors Constrained

• Published in: IEEE transactions on fuzzy systems Vol. 23; no. 4; pp. 729 - 742
• Main Authors: Tong, Shaocheng, Sui, Shuai, Li, Yongming
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control systems; Adaptive systems; Closed loop systems; Constraints; Control systems; Dynamical systems; Fuzzy logic; MIMO; MIMO (control systems); Nonlinear dynamics; Nonlinear systems; Observers; Output feedback; Tracking errors; Adaptive fuzzy control; uncertain MIMO nonlinear systems; partial state tracking errors constrained; state observer design; stability analysis; prescribed performance function
• ISSN: 1063-6706; 1941-0034
• DOI: 10.1109/TFUZZ.2014.2327987

In this paper, a partial tracking error constrained fuzzy output-feedback dynamic surface control (DSC) scheme is proposed for a class of uncertain multi-input and multi-output (MIMO) nonlinear systems. The considered MIMO nonlinear systems contain unknown functions and without the requirement of their states being available for the controller design. With the help of fuzzy logic systems identifying the MIMO unknown nonlinear systems, a fuzzy adaptive observer is established to estimate the unmeasured states. By transforming the tracking errors into new virtual error variables and based on the DSC backstepping recursive design technique, a new adaptive fuzzy output-feedback control method is developed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed-loop system are bounded and the partial state tracking errors are confined all times within the prescribed bounds. The simulation results and comparisons with the previous control approaches confirm the effectiveness and utility of the proposed scheme.