On the Improvement of Set-point Tracking Performance of Model Predictive Control
作者： Sachin Prabhu , Koshy George
DOI: 10.3182/20140313-3-IN-3024.00115
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摘要: Abstract Model predictive control (MPC) has been attractive in practical designs due to the inherent manner which both and state constraints can be incorporated. An open problem is choice of an appropriate prediction horizon that guarantees stability performance. The goal this paper show optimal window arrived at by switching between multiple receding-horizon controllers provide closed loop improve tracking
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