×

Existence and comparison theorems for algebraic Riccati equations for continuous- and discrete-time systems. (English) Zbl 0637.15008

The paper deals with the algebraic Riccati equation \[ (1)\quad -{\mathcal R}(X):=XBR^{-1}B^*X-X(A-BR^{-1}C)-(A-BR^{-1}C)^*X-(Q- C^*R^{- 1}C)=0, \] where (A,B) is stabilizable. The main results concern the interplay between equation (1) and the corresponding Riccati inequality \({\mathcal R}(X)\geq 0\). Define \(M:=\{X| X=X^*,\quad {\mathcal R}(X)\geq 0\}\) and \(N:=\{X| X=X^*,\quad {\mathcal R}(X)=0\}.\) Theorem 2.1: Assume \(M\neq \emptyset\). Then there exists an \(X_+\in N\) such that \(X_+\geq X\) for all \(X\in M\). Then in particular \(X_+\) is the maximal Hermitian solution of (1). Moreover, all the eigenvalues of the matrix \(A-BR^{-1}(C+B^*X_+)\) are in the closed left half plane. The proof provides an iterative procedure for obtaining the maximal Hermitian solution of (1) (as usual, \(X\geq Y\) for Hermitian matrices means that X-Y is a positive semidefinite matrix). As a consequence of this result a comparison of the maximal solutions of two Riccati equations is given. Both the continuous-time case and the discrete-time case are considered. The discrete-time case is in many ways the same as the continuous one.
Reviewer: V.S.Zajačkovski

MSC:

15A24 Matrix equations and identities
15A42 Inequalities involving eigenvalues and eigenvectors
93C55 Discrete-time control/observation systems
Full Text: DOI

References:

[1] Barnett, S., Introduction to Mathematical Control Theory (1975), Clarendon: Clarendon Oxford · Zbl 0307.93001
[2] Coppel, W. A., Matrix quadratic equations, Bull. Austral. Math. Soc., 10, 377-401 (1974) · Zbl 0276.15019
[3] Dorato, P., Theoretical developments in discrete time control, Automatica, 19, 395-400 (1983) · Zbl 0511.93048
[4] Faibusovich, L. E., Algebraic Riccati equation and symplectic algebra, Internat. J. Control, 43, 3, 781-792 (1986) · Zbl 0559.93020
[5] Franklin, G. F.; Powell, J. D., Digital Control (1980), Addison-Wesley: Addison-Wesley Reading, Mass
[6] I. Gohberg, P. Lancaster, and L. Rodman, On hermitian solutions of the symmetric algebraic Riccati equation, SIAM J. Control Optim; I. Gohberg, P. Lancaster, and L. Rodman, On hermitian solutions of the symmetric algebraic Riccati equation, SIAM J. Control Optim · Zbl 0607.93013
[7] Hammarling, S. J.; Singer, M. A., A canonical form for the algebraic Riccati equation, (Mathematical Theory of Networks and Systems. Mathematical Theory of Networks and Systems, Lecture Notes in Control and Information Sci., Vol. 58 (1984), Springer), 389-405 · Zbl 0531.93017
[8] Hewer, G. A., An iterative technique for the computation of the steady state gains for the discrete optimal regulator, IEEE Trans Automat. Control, AC-16, 382-383 (1971)
[9] Kleinman, D. L., On an iterative technique for Riccati equation computation, IEEE Trans. Automat. Control, 13, 114-115 (1968)
[10] P. Lancaster, A.C.M. Ran, and L. Rodman, Hermitian solutions of the discrete algebraic Riccati equation, Internat. J. Control.; P. Lancaster, A.C.M. Ran, and L. Rodman, Hermitian solutions of the discrete algebraic Riccati equation, Internat. J. Control. · Zbl 0598.15011
[11] P. Lancaster, A.C.M. Ran, and L. Rodman, An existence and monotonicity theorem for the discrete algebraic matrix Riccati equation, Linear and Multilinear Algebra; P. Lancaster, A.C.M. Ran, and L. Rodman, An existence and monotonicity theorem for the discrete algebraic matrix Riccati equation, Linear and Multilinear Algebra · Zbl 0626.15005
[12] Willems, J. C., Least square stationary optimal control and the algebraic Riccati equation, IEEE Trans. Automat. Control, 16, 621-634 (1971)
[13] Wimmer, H. K., Monotonicity of maximal solutions of algebraic Riccati equations, Systems Control Lett., 5, 317-319 (1985) · Zbl 0583.15007
[14] Wonham, W. M., On a matrix Riccati equation of stochastic control, SIAM J. Control, 6, 681-697 (1968) · Zbl 0182.20803
[15] Wonham, W. M., Linear Multivariable Control: A Geometric Approach (1979), Springer · Zbl 0393.93024
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.