Fast Model Predictive Control Using Online Optimization

A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A well-known technique for implementing fast MPC is to compute the entire control law offline, in which c...

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Veröffentlicht in:	IEEE transactions on control systems technology 2010-03, Vol.18 (2), p.267-278
Hauptverfasser:	Yang Wang, Boyd, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Computer science control theory systems Constraint optimization Control system synthesis Control theory. Systems Cost function Dynamics Energy efficiency Exact sciences and technology Horizon Mathematical analysis Mathematical models Model predictive control (MPC) On-line systems Online Optimal control Optimization Optimization methods Predictive control Predictive models Quadratic programming real-time convex optimization Studies Table lookup Time factors Time measurement
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