Adaptive control of uncertain pure-feedback nonlinear systems. Issue 10 (27th July 2017)

• Record Type: Journal Article
• Authors: Hou, Mingzhe; Deng, Zongquan; Duan, Guangren
• Is Part Of: International journal of systems science. Volume 48:Issue 10(2017)
• Page Start: 2137
• Page End: 2145
• Publication Date: 2017-07-27
• Subjects: Nonlinear systems -- pure-feedback systems -- uncertain systems -- adaptive control -- global state stabilisation; System analysis -- Periodicals; 003.3
• DOI: 10.1080/00207721.2017.1309594
• Languages: English
• ISSNs: 0020-7721

Abstract

ABSTRACT: An adaptive control approach is proposed to solve the globally asymptotic state stabilisation problem for uncertain pure-feedback nonlinear systems which can be transformed into the pseudo-affine form. The pseudo-affine pure-feedback nonlinear system under consideration is with nonlinearly parameterised uncertainties and possibly unknown control coefficients. Based on the parameter separation technique, a novel backstepping controller is designed by adopting the adaptive high gain idea. The proposed control approach could avoid the drawbacks of the approximation-based approaches since no estimators are needed to estimate the virtual and the actual controllers. In addition, it could guarantee globally asymptotic state stabilisation even though there exist nonlinearly parameterised uncertainties in the considered system while comparing to the existing approximation-free approaches. A numerical and a realistic examples are employed to demonstrate the effectiveness of the proposed control method.