Title :
Robust Control of Nonlinear Jump Parameter Systems Governed by Uncertain Chains
Author :
Ford, Jason J. ; Ugrinovskii, Valery A.
Author_Institution :
Sch. of Eng. Syst., Queensland Univ. of Technol., Brisbane, QLD
fDate :
7/1/2008 12:00:00 AM
Abstract :
We consider an infinite-horizon minimax optimal control problem for stochastic uncertain systems governed by a discrete-state uncertain continuous-time chain. Using existing risk-sensitive control results, a robust suboptimal absolutely stabilizing guaranteed cost controller is constructed. Conditions are presented under which this suboptimal controller is minimax optimal. We then present a numeric algorithm for calculating a robust (sub)optimal controller using a Markov chain approximation technique.
Keywords :
Markov processes; continuous time systems; discrete time systems; infinite horizon; minimax techniques; nonlinear control systems; optimal control; robust control; stochastic systems; uncertain systems; Markov chain approximation; cost controller; discrete-state uncertain continuous-time chain; infinite-horizon minimax optimal control; nonlinear jump parameter system; risk-sensitive control; robust control; stability; stochastic system; Australia; Control systems; Filtering theory; Minimax techniques; Nonlinear control systems; Optimal control; Riccati equations; Robust control; Stochastic systems; Uncertain systems; Markov chain approximations; Markov jump parameter systems; robust control; stochastic control;
Journal_Title :
Automatic Control, IEEE Transactions on
DOI :
10.1109/TAC.2008.928911