Solvability and asymptotic behavior of generalized Riccati equations arising in indefinite stochastic LQ controls

The optimal control problem in a finite time horizon with an indefinite quadratic cost function for a linear system subject to multiplicative noise on both the state and control can be solved via a constrained matrix differential Riccati equation. In this paper, we provide general necessary and suff...

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Published inIEEE transactions on automatic control Vol. 46; no. 3; pp. 428 - 440
Main Authors Rami, M.A., Xi Chen, Moore, J.B., Xun Yu Zhou
Format Journal Article
LanguageEnglish
Published New York IEEE 01.03.2001
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Online AccessGet full text
ISSN0018-9286
1558-2523
DOI10.1109/9.911419

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Abstract The optimal control problem in a finite time horizon with an indefinite quadratic cost function for a linear system subject to multiplicative noise on both the state and control can be solved via a constrained matrix differential Riccati equation. In this paper, we provide general necessary and sufficient conditions for the solvability of this generalized differential Riccati equation. Furthermore, its asymptotic behavior is investigated along with its connection to the generalized algebraic Riccati equation associated with the linear quadratic control problem in finite time horizon. Examples are presented to illustrate the results established.
AbstractList The optimal control problem in a finite time horizon with an indefinite quadratic cost function for a linear system subject to multiplicative noise on both the state and control can be solved via a constrained matrix differential Riccati equation. In this paper, we provide general necessary and sufficient conditions for the solvability of this generalized differential Riccati equation. Furthermore, its asymptotic behavior is investigated along with its connection to the generalized algebraic Riccati equation associated with the linear quadratic control problem in finite time horizon. Examples are presented to illustrate the results established
The optimal control problem in a finite time horizon with an indefinite quadratic cost function for a linear system subject to multiplicative noise on both the state and control can be solved via a constrained matrix differential Riccati equation. In this paper, we provide general necessary and sufficient conditions for the solvability of this generalized differential Riccati equation. Furthermore, its asymptotic behavior is investigated along with its connection to the generalized algebraic Riccati equation associated with the linear quadratic control problem in infinite time horizon. Examples are presented to illustrate the results established. (Author)
The optimal control problem in a finite time horizon with an indefinite quadratic cost function for a linear system subject to multiplicative noise on both the state and control can be solved via a constrained matrix differential Riccati equation. In this paper, we provide general necessary and sufficient conditions for the solvability of this generalized differential Riccati equation. Furthermore, its asymptotic behavior is investigated along with its connection to the generalized algebraic Riccati equation associated with the linear quadratic control problem in finite time horizon. Examples are presented to illustrate the results established.
Author Xi Chen
Rami, M.A.
Xun Yu Zhou
Moore, J.B.
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  surname: Moore
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  surname: Xun Yu Zhou
  fullname: Xun Yu Zhou
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Snippet The optimal control problem in a finite time horizon with an indefinite quadratic cost function for a linear system subject to multiplicative noise on both the...
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SubjectTerms Asymptotic properties
Control equipment
Control systems
Cost function
Differential equations
Horizon
Linear quadratic
Linear systems
Mathematical analysis
Nonlinear equations
Optimal control
Riccati equation
Riccati equations
Stochastic processes
Stochastic resonance
Stochastic systems
Title Solvability and asymptotic behavior of generalized Riccati equations arising in indefinite stochastic LQ controls
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Volume 46
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