Linear matrix inequality based model predictive controller
作者： E. Granado , W. Colmenares , G. García , J. Bernussou
关键词:
摘要: A model predictive controller based on linear matrix inequalities (LMIs) is presented. As in standard control (MPC) algorithms, at each (sampling) time, a convex optimisation problem solved to compute the law. The involves constraints written as LMIs, including those normally associated with MPC problems, such input and output limits. Even though state-space representation used, only measurable extreme values of unmeasurable states are used determine controller, hence, it an feedback design method. Stability closed-loop system demonstrated. Based this MPC, Lyapunov built computation set more framework. techniques illustrated numerical examples
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