2013
DOI: 10.2478/acsc-2013-0029
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Feedback saddle point equilibria for soft-constrained zero-sum linear quadratic descriptor differential game

Abstract: In this paper the feedback saddle point equilibria of soft-constrained zero-sum linear quadratic differential games for descriptor systems that have index one will be studied for a finite and infinite planning horizon. Both necessary and sufficient conditions for the existence of a feedback saddle point equilibrium are considered

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Cited by 1 publication
(5 citation statements)
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“…In this section we recall some theorems of feedback zero-sum linear quadratic softconstrained differential games for index one descriptor systems from [21] that will be used as a framework in designing robust optimal controls. We will characterize the set of FBSP solutions for the game (1,7) using the reduced ordinary differential game described by the dynamical system (10) with the cost function (11).…”
Section: The Feedback Zero-sum Linear Quadratic Soft-constrained Descmentioning
confidence: 99%
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“…In this section we recall some theorems of feedback zero-sum linear quadratic softconstrained differential games for index one descriptor systems from [21] that will be used as a framework in designing robust optimal controls. We will characterize the set of FBSP solutions for the game (1,7) using the reduced ordinary differential game described by the dynamical system (10) with the cost function (11).…”
Section: The Feedback Zero-sum Linear Quadratic Soft-constrained Descmentioning
confidence: 99%
“…Following the procedure in [21], yields that ( ) * * , u w is a Feedback Saddle Point (FBSP) solution for the zero-sum differential game (1) with cost function (7) if and only if ( ) …”
Section: T Qx T U T R U T W T R W T Dtmentioning
confidence: 99%
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