Hamiltonian Approach to Linear Continuous-Time Singularly Perturbed Optimal Control and Filtering Problems

نویسندگان

  • Zoran Gajic
  • Myo-Taeg Lim
چکیده

Abstract – In this paper we present a unified approach for optimal control and filtering of linear continuous-time singularly perturbed linear systems that facilitates complete and exact decomposition of optimal control and filtering tasks into pure-slow and pure-fast time scales. The presented methodology eliminates numerical ill-conditioning of the original singularly perturbed problems, introduces parallelism into the design procedures, allows independent parallel processing of information in slow and fast time scales, and reduces both off-line and on-line computation requirements. The presentation is done for the classic linear-quadratic openand closed-loop optimal regulators, Kalman filter, -optimal linear-quadratic regulator, -optimal linear filter, and the corresponding linearquadratic optimal stochastic regulators. In addition, we indicate related control problems solvable by the presented methodology.

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تاریخ انتشار 2002