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- W2796948685 abstract "We provide two nonlinear solutions to the model recovery anti-windup (MRAW) design problem, both of them relying on the definition of a set of nested ellipsoids in the state space of the anti-windup dynamics. Each ellipsoidal set arises from a convenient trade-off between size of the ellipsoid and guaranteed exponential convergence rate induced by the corresponding saturated feedback. The first solution is given by a hybrid selection of the MRAW stabilizer, relying on a natural hysteresis switching mechanism. The second solution corresponds to a Lipschitz but non-differentiable scheduled selection, which essentially smoothens out the discontinuous nature of the nested ellipsoids. We discuss the role of our design architecture and establish a number of important properties induced by the proposed controllers. Their effectiveness is comparatively illustrated on a few example studies." @default.
- W2796948685 created "2018-04-24" @default.
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- W2796948685 date "2019-03-01" @default.
- W2796948685 modified "2023-10-10" @default.
- W2796948685 title "A switched and scheduled design for model recovery anti-windup of linear plants" @default.
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- W2796948685 doi "https://doi.org/10.1016/j.ejcon.2018.04.002" @default.
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