Sampling-based explicit nonlinear model predictive control for output tracking


In many applications, it is necessary to design controllers that enable the system output to track a time-varying reference signal. In this paper, a low-complexity sampling-based output tracking explicit nonlinear model predictive controller (ENMPC) is proposed for a class of bounded, time-varying reference signals, where only the bounds on the family of… (More)
DOI: 10.1109/CDC.2016.7798989


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