DocumentCode :
2239962
Title :
Exact slow-fast decomposition of the Hamilton-Jacobi equation of singularly perturbed systems
Author :
Fridman, E.
Author_Institution :
Dept. of Electr. Eng., Tel Aviv Univ., Israel
Volume :
3
fYear :
1998
fDate :
21-26 Jun 1998
Firstpage :
1503
Abstract :
We study a Hamilton-Jacobi partial differential equation, arising in an optimal control problem for an affine nonlinear singularly perturbed system. This equation is solvable if there exists a special invariant manifold of the corresponding Hamiltonian system. We obtain exact slow-fast decomposition of the Hamiltonian system and of the special invariant manifold into the slow and the fast ones. We get sufficient conditions for the solvability of the Hamilton-Jacobi equation in terms of the reduced-order slow submanifold, or in the hyperbolic case, in terms of a reduced-order slow Riccati equation. On the basis of this decomposition we construct asymptotic expansions of the optimal state-feedback, optimal trajectory and optimal open-loop control in the powers of a small parameter
Keywords :
Riccati equations; nonlinear control systems; optimal control; partial differential equations; singularly perturbed systems; state feedback; Hamilton-Jacobi partial differential equation; affine nonlinear singularly perturbed system; asymptotic expansions; exact slow-fast decomposition; optimal control problem; optimal open-loop control; optimal state-feedback; optimal trajectory; reduced-order slow Riccati equation; reduced-order slow submanifold; sufficient conditions; Control systems; Differential equations; Government; Jacobian matrices; Nonlinear control systems; Nonlinear equations; Open loop systems; Optimal control; Partial differential equations; Riccati equations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
ISSN :
0743-1619
Print_ISBN :
0-7803-4530-4
Type :
conf
DOI :
10.1109/ACC.1998.707226
Filename :
707226
Link To Document :
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