Adaptive fuzzy dead-zone control for unknown nonlinear systems

Authors:
Ping Li;Guang-Hong Yang
Affiliations:
College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China and Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern U ...;College of Information Science and Engineering, Northeastern University, Shenyang, P.R. China and Key Laboratory of Integrated Automation of Process Industry, Ministry of Education, Northeastern U ...
Venue:
ACC'09 Proceedings of the 2009 conference on American Control Conference
Year:
2009

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Abstract

Adaptive fuzzy control is used to control a class of unknown nonlinear systems with perturbed dead-zone input in this paper. A new dead-zone actuator model which contains time-varying and perturbed actuation gain is proposed. The dead-zone nonlinearity is treated as a linear term, a nonlinear term and a disturbance-like term. Nonlinearly parameterized fuzzy logic systems are used to approximate the unknown functions in the control design. The proposed control scheme ensures the stability of the closed-loop system and satisfactory tracking of the output to the given reference signal. A numerical example is included to show the effectiveness of the approach.