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Exact slow-fast decomposition of the singularly perturbed matrix differential Riccati equation
Authors:S Koskie  C Coumarbatch
Institution:a Department of Electrical and Computer Engineering, Purdue School of Engineering and Computer Science, IUPUI, 723 W. Michigan Street SL-160, Indianapolis, IN 46202, United States
b Rutgers University, Department of Mathematics, Hill Center-Busch Campus, 110 Frelinghuysen Rd., Piscataway, NJ 08854, United States
c Rutgers University, Department of Electrical and Computer Engineering, 94 Brett Road, Piscataway, NJ 08854, United States
Abstract:In this paper the Hamiltonian matrix formulation of the Riccati equation is used to derive the reduced-order pure-slow and pure-fast matrix differential Riccati equations of singularly perturbed systems. These pure-slow and pure-fast matrix differential Riccati equations are obtained by decoupling the singularly perturbed matrix differential Riccati equation of dimension n1+n2 into the pure-slow regular matrix differential Riccati equation of dimension n1 and the pure-fast stiff matrix differential Riccati equation of dimension n2. A formula is derived that produces the solution of the original singularly perturbed matrix differential Riccati equation in terms of solutions of the pure-slow and pure-fast reduced-order matrix differential Riccati equations and solutions of two reduced-order initial value problems. In addition to its theoretical importance, the main result of this paper can also be used to implement optimal filtering and control schemes for singularly perturbed linear time-invariant systems independently in pure-slow and pure-fast time scales.
Keywords:Differential Riccati equation  Singular perturbation  Optimal control  Exact slow-fast decomposition  Chang transform
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