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To formalize the above discussion, consider a nonlinear switched model (2).
Based on the switched model, some analytical stability results are derived.
The algorithm of the reduced-order hybrid switched model parameters is designed by the cone complementary linearization technique.
In this paper we introduce a digital architecture implementing the explicit solution of a switched model predictive control problem.
Traffic flow is modeled by the Uncertain Cell Transmission Model (UCTM) which is an affine switched model.
The first step is to obtain the bi-linear form of the exact (switched) model of the compensator representing the high and low frequency behavior of the converter.
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Example 4.1 This test problem is the internet switching model introduced by Facchinei et al. [19].
The evaluation of the shape is carried out based on the nonlinear domain switching model.
Liu and Zhang (2010) combined RBF neural network models with the Markov switching model to merge Markov switching Neural Network model based on RBF models.
And the regime switching model is based on a continuous time finite state Markov process.
Based on this law, a switching model capable of dealing with the non-uniform distribution of switching strain is developed.
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