$q+1$ identification models is constructed. Then, a convex hull makes better use of the information of all identification models. One of the main advantages of this convex hull scheme is that it not only solves the convergence problem of the estimation algorithm of parameters, but also improves the cooperativity of the multiple model control method. At the same time, discrete-time BLFs and discrete-time filter techniques are employed to construct the actual controller in a unified framework. It has been demonstrated conclusively that all signals are bounded and all states can be limited in a prescribed region. Finally, one simulation example is provided to validate the theoretical findings mentioned above.">

Adaptive State Safety Control Design for Uncertain Discrete-Time Nonlinear Systems (original) (raw)

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