IEEE Conference on Decision and Control and European Control Conference 2011
DOI: 10.1109/cdc.2011.6160373
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Invariance of symmetric convex sets for discrete-time saturated systems

Abstract: The characterization of invariance and contractiveness for discrete-time saturated linear systems is considered. The geometrical approach used to analyze the problem leads to conditions valid for generic symmetric convex sets. The application of the results to the ellipsoidal case generalizes known results and leads to computational improvements.

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Cited by 4 publications
(8 citation statements)
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“…Such conditions allow also to implicitly characterize local setinduced Lyapunov functions. The paper extends the results in [5], that deals only with symmetric saturations and sets and with sufficient results. The necessary and sufficient condition holds also for asymmetric saturations and it can be extended to systems with affine nonlinearity at the input.…”
Section: Introductionsupporting
confidence: 66%
“…Such conditions allow also to implicitly characterize local setinduced Lyapunov functions. The paper extends the results in [5], that deals only with symmetric saturations and sets and with sufficient results. The necessary and sufficient condition holds also for asymmetric saturations and it can be extended to systems with affine nonlinearity at the input.…”
Section: Introductionsupporting
confidence: 66%
“…which is equivalent to (11). Thus, the condition (11) and (14) are equivalent, for each J ∈ I and E ∈ K. Therefore, the condition (11) and (8) are also equivalent, for each J ∈ I and E ∈ K.…”
Section: Resultsmentioning
confidence: 93%
“…In the last decade, the stability of linear systems subject to actuator saturation attracted a big interest. There are many researchers working on this topic currently, see [1], [4], [8], [12], [13], [16], [19]. The maximal output admissible sets have important applications in the analysis and design of closed-loop systems with state and control constraints [10].…”
Section: Introductionmentioning
confidence: 99%
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