Robust control of set-valued discrete-time dynamical systems
This paper presents results obtained for the control of set-valued discrete-time dynamical systems. Such systems model nonlinear systems subject to persistent bounded noise. A robust control problem for such systems is introduced. The problem is formulated as a dynamic game, wherein the controller p...
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Published in | IEEE transactions on automatic control Vol. 43; no. 1; pp. 61 - 75 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
New York, NY
IEEE
01.01.1998
Institute of Electrical and Electronics Engineers |
Subjects | |
Online Access | Get full text |
ISSN | 0018-9286 |
DOI | 10.1109/9.654887 |
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Abstract | This paper presents results obtained for the control of set-valued discrete-time dynamical systems. Such systems model nonlinear systems subject to persistent bounded noise. A robust control problem for such systems is introduced. The problem is formulated as a dynamic game, wherein the controller plays against the set-valued system. Both necessary and sufficient conditions in terms of (stationary) dynamic programming equalities are presented. The output feedback problem is solved using the concept of an information state, where a decoupling between estimation and control is obtained. The methods yield a conceptual approach for constructing controlled-invariant sets and stabilizing controllers for uncertain nonlinear systems. |
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AbstractList | This paper presents results obtained for the control of set-valued discrete-time dynamical systems. Such systems model nonlinear systems subject to persistent bounded noise. A robust control problem for such systems is introduced. The problem is formulated as a dynamic game, wherein the controller plays against the set-valued system. Both necessary and sufficient conditions in terms of (stationary) dynamic programming equalities are presented. The output feedback problem is solved using the concept of an information state, where a decoupling between estimation and control is obtained. The methods yield a conceptual approach for constructing controlled-invariant sets and stabilizing controllers for uncertain nonlinear systems. (Author) This paper presents results obtained for the control of set-valued discrete-time dynamical systems. Such systems model nonlinear systems subject to persistent bounded noise. A robust control problem for such systems is introduced. The problem is formulated as a dynamic game, wherein the controller plays against the set-valued system. Both necessary and sufficient conditions in terms of (stationary) dynamic programming equalities are presented. The output feedback problem is solved using the concept of an information state, where a decoupling between estimation and control is obtained. The methods yield a conceptual approach for constructing controlled-invariant sets and stabilizing controllers for uncertain nonlinear systems This paper presents results obtained for the control of set-valued discrete-time dynamical systems. Such systems model nonlinear systems subject to persistent bounded noise. A robust control problem for such systems is introduced. The problem is formulated as a dynamic game, wherein the controller plays against the set-valued system. Both necessary and sufficient conditions in terms of (stationary) dynamic programming equalities are presented. The output feedback problem is solved using the concept of an information state, where a decoupling between estimation and control is obtained. The methods yield a conceptual approach for constructing controlled-invariant sets and stabilizing controllers for uncertain nonlinear systems. |
Author | Baras, J.S. Patel, N.S. |
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Cites_doi | 10.1007/BFb0087685 10.1109/CDC.1995.480546 10.1109/CDC.1993.325166 10.1109/TAC.1987.1104603 10.1109/CDC.1994.411621 10.1007/BF01211560 10.1137/0326069 10.1137/0326070 10.1109/CDC.1989.70671 10.1016/0005-1098(83)90007-9 10.1002/rnc.4590010304 10.1109/9.388678 10.1016/0005-1098(86)90045-2 10.1109/9.256331 10.23919/ACC.1991.4791667 10.1109/CDC.1994.411688 10.1007/978-94-015-7793-9 10.1109/9.272351 10.2307/1426972 |
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Keywords | Robust control Dynamic game Control synthesis Certainty equivalence principle Discrete system Dynamic programming Non linear system Output feedback Convergence |
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SubjectTerms | Applied sciences Computer science; control theory; systems Control system synthesis Control systems Control theory. Systems Exact sciences and technology Linear systems Nonlinear control systems Nonlinear dynamical systems Nonlinear systems Output feedback Robust control Shape control State estimation Sufficient conditions |
Title | Robust control of set-valued discrete-time dynamical systems |
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