[PDF][PDF] Basics of model predictive control
PE Orukpe - Imperial College, London, 2005 - Citeseer
Imperial College, London, 2005•Citeseer
MPC is a form of control in which the current control action is obtained by solving on-line, at
each sampling instant, a finite horizon open-loop optimal control problem, using the current
state of the plant as the initial state; the optimization yields an optimal control sequence and
the first control in this sequence is applied to the plant.
each sampling instant, a finite horizon open-loop optimal control problem, using the current
state of the plant as the initial state; the optimization yields an optimal control sequence and
the first control in this sequence is applied to the plant.
MPC is a form of control in which the current control action is obtained by solving on-line, at each sampling instant, a finite horizon open-loop optimal control problem, using the current state of the plant as the initial state; the optimization yields an optimal control sequence and the first control in this sequence is applied to the plant.
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