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Stabilization of linear time-varying systems with state and input constraints using convex optimization 被引量:1

Stabilization of linear time-varying systems with state and input constraints using convex optimization
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摘要 The stabilization problem of linear time-varying systems with both state and input constraints is considered. Sufficient conditions for the existence of the solution to this problem are derived and a gain-switched(gain-scheduled) state feedback control scheme is built to stabilize the constrained timevarying system. The design problem is transformed to a series of convex feasibility problems which can be solved efficiently. A design example is given to illustrate the effect of the proposed algorithm. The stabilization problem of linear time-varying systems with both state and input constraints is considered. Sufficient conditions for the existence of the solution to this problem are derived and a gain-switched(gain-scheduled) state feedback control scheme is built to stabilize the constrained timevarying system. The design problem is transformed to a series of convex feasibility problems which can be solved efficiently. A design example is given to illustrate the effect of the proposed algorithm.
出处 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2016年第3期649-655,共7页 系统工程与电子技术(英文版)
基金 supported by the National Natural Science Foundation of China(61321062 61503100) the China Postdoctoral Science Foundation(2014M550189)
关键词 linear time-varying stabilization state constraints convex optimization linear time-varying stabilization state constraints convex optimization
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