Adaptive Multiple-Model Control of A Class of Nonlinear Systems

• DOI: 10.2991/jrnal.2015.2.2.1
• Publication Date: 2015-07-17T17:08:55Z
• Authors: Chao Yang; Yingmin Jia
• Keywords: 0209 industrial biotechnology; 02 engineering and technology

In this paper, an adaptive multiple-model controller is developed for nonlinear systems in parametric-strict-feedback form.Unlike the previous results, a switching scheme not required here to switch most appropriate model into design.The new reduces number of identification models and uses information provided by all more efficiently than results using convex combination estimates parameters.The method guarantees parameter convergence global asymptotic stability closed-loop system.The boundness signals zero tracking error are proved.A simulation example included demonstrate effectiveness obtained results.