A novel adaptive control approach for nonlinear strict-feedback systems using nonlinearly parameterised fuzzy approximators

作者：Li Ping; Yang Guang Hong^*

来源：International Journal of Systems Science, 2011, 42(3): 517-527.

DOI：10.1080/00207721003624576

• adaptive
• nonlinear strict-feedback systems
• nonlinearly parameterised fuzzy approximators
• backstepping design

In this article, the problem of output tracking of perturbed nonlinear strict-feedback systems is addressed and a novel adaptive fuzzy control scheme is proposed. The considered systems are with unknown nonlinearities, so an adaptive fuzzy approximation approach is embedded into a backstepping procedure to get the proposed controller. However, unlike the exiting results, approximators used in this article are not linearly parameterised. Using nonlinearly parameterised adaptive fuzzy approximators, the controller can be obtained without the restriction that fuzzy basis functions of the approximators must be well defined. By managing to adapt the norm of on-line parameter vectors in the control design, the computation burden is largely reduced. The proposed controller can guarantee the stability and desired tracking performance of the closed-loop system. An example is included to demonstrate the effectiveness of the control scheme.

• 出版日期2011
• 单位东北大学