A. Królikowski and D. Jerzy (Poland)
Model Predictive Control, Constrained Optimization
Handling of rate and amplitude constraints in guaranteed stability model predictive control problem of linear discrete-time systems is considered. The method based on the Lemke's algorithm is used to solve the constrained optimization problem. A simulation based analysis of closed-loop control system stability and performance is also given with respect to design parameters and constraints.
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