articleIEEE Transactions on Automatic ControlJan 11, 2024Closed access

Data-Driven Near Optimization for Fast Sampling Singularly Perturbed Systems

HSHao ShenCPChuanjun PengHYHuaicheng YanSXShengyuan Xu

Anhui University of Technology · East China University of Science and Technology · +1 more institution

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Abstract

The optimal control issue of fast sampling singularly perturbed systems is discussed throughout this paper. As a new attempt, without using complete system dynamics, the composite controller is designed by using controller of the different subsystems along with the usage of the subsystem decomposition technique by means of singular perturbation theory. Compared with the existing policy iteration and value iteration algorithms, there is not an enforced requirement for a stabilizing control strategy and the increase in convergence speed is achieved by the proposed hybrid iteration algorithm. For the purpose of considering that the fast and slow subsystems have different characteristics, two hybrid iteration…

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110
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Topics & keywords

Topics
Keywords
  • Control theory (sociology)
  • Singular perturbation
  • Convergence (economics)
  • Controller (irrigation)
  • Computer science
  • Sampling (signal processing)
  • Mathematical optimization
  • Optimal control
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