2012
DOI: 10.1016/j.automatica.2012.05.019
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Model recovery anti-windup for continuous-time rate and magnitude saturated linear plants

Abstract: In this paper two approaches are given for anti-windup design for\ud nonlinear control systems with linear plants subject to limitations both in the\ud magnitude and the rate of variation of the control input. Both approaches are\ud based on the so-called Model Recovery Anti-Windup (MRAW) framework. The first\ud approach is built by treating the rate + magnitude saturation as a single\ud dynamic nonlinearity, while in the second one, the dynamic compensator dynamics\ud is extended with extra states to treat th… Show more

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Cited by 24 publications
(15 citation statements)
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“…Moreover, if the K aw selection guarantees the asymptotic stability of the subsystem Equation (9b), then the following conclusions hold [31,32,36]:…”
Section: Theoremmentioning
confidence: 99%
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“…Moreover, if the K aw selection guarantees the asymptotic stability of the subsystem Equation (9b), then the following conclusions hold [31,32,36]:…”
Section: Theoremmentioning
confidence: 99%
“…The proof of the above theorem is omitted in this paper, since it has been presented in the literature [31,32,36] in detail. According to the theorem, the key step for synthesizing the anti-windup controller is to design the gain matrix K aw to keep the subsystem Equation (9b) stable.…”
Section: Remarkmentioning
confidence: 99%
“…Moreover, the algorithm proposed in [11] is derived only for magnitude saturation. The authors of [6] have already proposed in [3] one possible LPV extension of the same compensator design concept we also use in this paper. In contrast to our approach, [3] handles only magnitude saturation and the compensator is based on the polytopic controlled invariant set of the plant.…”
Section: Introductionmentioning
confidence: 99%
“…In this paper the LTI-MRAW compensator scheme described in [4] and [6] is extended to LPV plants. The proposed method remains applicable if both magnitude and rate saturation are present and applies quadratic Lyapunov function with ellipsoidal level sets; both can be easily computed even for large dimensional plants.…”
Section: Introductionmentioning
confidence: 99%
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