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Sponsored by the Center for Science and Technology Development of the Ministry of Education
Supervised by Ministry of Education of the People's Republic of China
This paper studies an adaptive control design for a class of strict-feedback nonlinear systems with asymmetric time-varying full state constraints. A time-varying asymmetric Barrier Lyapunov Function (ABLF) is employed to ensure time-varying constraints satisfaction. By allowing the barriers to vary with the desired trajectory in time, the initial condition requirements are relaxed. Thus the ABLF can afford greater flexibility in control design. The high order coupling terms caused by backstepping method are canceled through variable substitution. Asymptotic tracking is achieved without violation of any constraints, and all signals in the closed-loop system are ultimately bounded. The performance of the ABLF-based control is illustrated through a numerical example.
Keywords:nonlinear strict-feedback system; ABLF; time-varying; full stateconstraints; backstepping.