adaptive control of a class of switched nonlinear system with partial state constraints using a barrier lyapunov function

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ID: 227962
2017
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Abstract
This paper discusses partial state constraint adaptive tracking control problem of switched nonlinear systems with uncertain parameters. In order to ensure boundedness of the outputs and prevent the states from violating the constraints, a barrier Lyapunov function (BLF) is employed. Based on backstepping method, an adaptive controller for the switched system is designed. Furthermore, the state-constrained asymptotic tracking under arbitrary switching is performed. The closed-loop signals keep bounded when the initial states and control parameters are given. Finally, examples and simulation results are reported to illustrate the effectiveness of the proposed controller.
Reference Key
cui2017mathematicaladaptive Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Enchang Cui;Yuanwei Jing;Xiaoting Gao
Journal journal of power sources
Year 2017
DOI
10.1155/2017/7368092
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