2003
DOI: 10.1016/s0167-6911(03)00181-6
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Optimal controllers for spatially invariant systems with delayed communication requirements

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Cited by 39 publications
(32 citation statements)
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“…Reference [2] demonstrates closure results for cone causal systems using Markov parameter descriptions. The following proposition proves closure results for C -causal systems using state-space descriptions.…”
Section: Closure Of C Under Lftsmentioning
confidence: 99%
See 1 more Smart Citation
“…Reference [2] demonstrates closure results for cone causal systems using Markov parameter descriptions. The following proposition proves closure results for C -causal systems using state-space descriptions.…”
Section: Closure Of C Under Lftsmentioning
confidence: 99%
“…References [2] and [3] introduce the subspaces of "cone causal" and "funnel causal" systems, respectively. These subspaces describe how information from every controller propagates through the similar but more general characterization, termed "quadratic invariance," is introduced in [4].…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, methods and/or solutions exist for special instances of this problem, such as the two-player systems considered in [15], [16], and spatially invariant systems [17], [18], [19].…”
Section: Introductionmentioning
confidence: 99%
“…Related work, exploiting a specific interconnection structure for spatial invariance and identical linear subsystems with nearest neighbour coupling, is discussed in [18][19][20][21]. In [22], decentralised state feedback controllers are proposed for infinite interconnections of discrete-time systems, satisfying the spatial invariance property.…”
Section: Introductionmentioning
confidence: 99%
“…Design methods to synthesise optimal H 2 controllers for distributed discrete time systems have been proposed in [21]. In [19], a development mainly based on [20], proposed distributed dynamic output control for heterogenous systems interconnected over arbitrary graphs based on robust H ∞ control and dissipativity arguments.…”
Section: Introductionmentioning
confidence: 99%