Publication | Closed Access
Optimal control for a class of noisy linear systems with markovian jumping parameters and quadratic cost
34
Citations
13
References
1991
Year
Mathematical ProgrammingOperations ResearchStochastic Hybrid SystemMarkov Decision ProcessOptimal ControlEngineeringRobust ControlMathematical Control TheoryStochastic SystemProcess ControlBusinessSystems EngineeringMarkovian Jumping ParametersStochastic ControlLinear ControlNoisy Linear SystemsOptimal Control PolicyStability
Abstract The stochastic optimal control problem is discussed for a class of noisy linear systems with markovian jumping parameters and quadratic cost. First a collection of preliminary results is derived which has an important bearing on the rigorous derivation of the optimal control policy from a dynamic programming standpoint. Then the stochastic control problem for the finite-horizon case is analysed. Finally, a result for the infinite-horizon case (long-run average cost) is presented when the jumping parameter is an irreducible continuous-time Markov chain.
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