Explicit Solution of Regulation Control Problems for Nonlinear Systems with Quantized Inputs
نویسندگان
چکیده
In this paper, a regulation control problem for constrained nonlinear systems with quantized inputs is formulated as a Model Predictive Control (MPC) problem. The MPC problem is represented as a multi-parametric Nonlinear Integer Programming (mp-NIP) problem and a computational method to find an explicit approximate solution of this problem is considered. It consists in constructing a feasible piecewise constant approximation to the optimal solution on the state space of interest. The approximate mp-NIP approach is applied to the design of an explicit quantized MPC controller for a continuous stirred tank reactor.
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