1997
DOI: 10.1016/s0005-1098(96)00193-8
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H∞ control for descriptor systems: A matrix inequalities approach

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Cited by 622 publications
(261 citation statements)
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“…The matrix E may be singular and we denote its rank by rank(E) = r ≤ n. It is known that systems having direct transmission paths from w and u to z and y can be transformed by augmenting the descriptor variable as pointed out for example in [5].…”
Section: Preliminariesmentioning
confidence: 99%
See 1 more Smart Citation
“…The matrix E may be singular and we denote its rank by rank(E) = r ≤ n. It is known that systems having direct transmission paths from w and u to z and y can be transformed by augmenting the descriptor variable as pointed out for example in [5].…”
Section: Preliminariesmentioning
confidence: 99%
“…Even in the nonsingular case, descriptor systems are very useful to manipulate physical models without losing a physical parameterization or to describe controller/filter implementation. Strict LMI characterizations for admissibility, H ∞ and H 2 norms of descriptor systems are established in [2][3][4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…Although descriptor equations are mathematically less tractable than state equations, many controller design methods for state-space models have been extended to descriptor systems. For linear time-invariant (LTI) descriptor systems, H ∞ controllers [1]- [4], mixed H 2 /H ∞ controllers [5], and general quadratic performance controllers [6], have been proposed. A common feature of these results is that descriptor-type controllers are dealt with, because they are mathematically compatible with descriptor systems.…”
Section: Introductionmentioning
confidence: 99%
“…For these reasons, many studies have investigated the generalized Lyapunov equation and stability of descriptor systems [1][2][3][4]. When the stability and control design problems of a descriptor system are considered, the standard Lyapunov equation is extended to the generalized Lyapunov equation [5][6][7][8][9]. Such descriptor systems naturally occur in many applications, such as multi-body dynamics, electrical circuit simulation, chemical engineering, and semi-discretization of partial differential equations [10][11][12].…”
Section: Introductiuonmentioning
confidence: 99%