Nonstationary discrete-time deterministic and stochastic control systems: Bounded and unbounded cases

Xianping Guo, Adrián Hernández-Del-Valle, Onésimo Hernández-Lerma

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

This paper is about nonstationary nonlinear discrete-time deterministic and stochastic control systems with Borel state and control spaces, with either bounded or unbounded costs. The control problem is to minimize an infinite-horizon total cost performance index. Using dynamic programming arguments we show that, under suitable assumptions, the optimal cost functions satisfy optimality equations, which in turn give a procedure to find optimal control policies. We also prove the convergence of value iteration (or successive approximations) functions. Several examples illustrate our results under different sets of assumptions.

Original languageEnglish
Pages (from-to)503-509
Number of pages7
JournalSystems and Control Letters
Volume60
Issue number7
DOIs
StatePublished - Jul 2011
Externally publishedYes

Keywords

  • Discrete-time control systems
  • Nonlinear systems
  • Nonstationary dynamic programming
  • Time-nonhomogeneous systems
  • Time-varying systems

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