A Quasi-Infinite Horizon Nonlinear Model Predictive Control Scheme with Guaranteed Stability
Automatica (Journal of IFAC)
Brief Constrained receding horizon predictive control for nonlinear systems
Automatica (Journal of IFAC)
Survey Constrained model predictive control: Stability and optimality
Automatica (Journal of IFAC)
Control of systems integrating logic, dynamics, and constraints
Automatica (Journal of IFAC)
The explicit linear quadratic regulator for constrained systems
Automatica (Journal of IFAC)
Computation of the constrained infinite time linear quadratic regulator
Automatica (Journal of IFAC)
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Predictive control is actually widely used for industrial process control. A big number of points in the predictive horizon and control horizon are often chosen not only to ensure the quality of the dynamic process for slow processes but also to get a better robustness for the control system. But it will raise the computational effort of the controller. Blocking and coincidence points technology can reduce the computation time while keeping the length of the horizon, which consider a reduced number of points in the predictive horizon (coincidence points) as well as in the control horizon (blocking point). Base on step response, a new method of selecting coincidence points is proposed in this paper. The simulation results show that this method could not only achieve the objective of simplifying the calculation, but also have certain advantages in the fast performance and stability. Also, this method is simpler and more practical.