Data-driven optimal switching and control of switched systems
Chi Zhang1
Minggang Gan2
Chenchen Xue3
1.School of Automation,Beijing Institute of Technology,Beijing 100081,China;Beijing Institute of Control Engineering,Beijing,China2.School of Automation,Beijing Institute of Technology,Beijing 100081,China3.School of Automation,Beijing Institute of Technology,Beijing 100081,China;China Academy of Launch Vehicle Technology,Beijing,China
摘要：In this paper, optimal switching and control approaches are investigated for switched systems with infinite-horizon cost func-tions and unknown continuous-time subsystems. At first, for switched systems with autonomous subsystems, the optimal solution based on the finite-horizon HJB equation is proposed and a data-driven optimal switching algorithm is designed. Then, for the switched systems with subsystem inputs, a data-driven optimal control approach based on the finite-horizon HJB equation is proposed. The data-driven approaches approximate the optimal solutions online by means of the system state data instead of the subsystem models. Moreover, the convergence of the two approaches is analyzed. Finally, the validity of the two approaches is demonstrated by simulation examples.
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论文发表日期：2021-08-05
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：16( 299-314 )
英文信息