Stabilizing reduced order model predictive control for constrained linear systems
نویسندگان
چکیده
Abstract: This paper considers a stabilizing reduced order model predictive control for constrained linear discrete-time systems. By employing a system decomposition on the inputoutput function space, a reduced order model predictive control law, which guarantees closedloop stability and feasibility, is obtained from a low dimensional on-line optimization problem. Numerical examples are provided to illustrate the proposed method.
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