Linear-quadratic control with and without stability subject to general implicit continuous-time systems: coordinate-free interpretations of the optimal costs in terms of dissipation inequality and linear matrix inequality; existence and uniqueness of optimal controls and state trajectories

We consider linear-quadratic control problems with and without stability, subject to an arbitrary implicit continuous-time system, in a simple distributional framework, and it is shown that the associated optimal costs, if existent, are solutions of our dissipation inequality for implicit systems. T...

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Bibliographic Details
Published inLinear algebra and its applications Vol. 203; pp. 607 - 658
Main Author Geerts, Ton
Format Journal Article
LanguageEnglish
Published Elsevier Inc 1994
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ISSN0024-3795
1873-1856
DOI10.1016/0024-3795(94)90216-X

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Summary:We consider linear-quadratic control problems with and without stability, subject to an arbitrary implicit continuous-time system, in a simple distributional framework, and it is shown that the associated optimal costs, if existent, are solutions of our dissipation inequality for implicit systems. This concept is related to the linear matrix inequality, which is expressed in original system coefficients only, and the above-mentioned optimal costs turn out to be characterizable uniquely by certain solutions of this inequality. However, these solutions need not be rank minimizing if the underlying system is not standard, and we specify why this is the case. Our statements are valid for regular as well as for singular problems, and the possible significance of the algebraic Riccati equation is illustrated for both regular and singular problems. Furthermore, we present necessary and sufficient conditions for solvability of our problems and for the existence of optimal controls and associated optimal state trajectories. Finally, we elaborate on the uniqueness of these controls and state trajectories.
ISSN:0024-3795
1873-1856
DOI:10.1016/0024-3795(94)90216-X