Advances in model-based predictive control

TLDR: In this paper, a game theoretic approach to moving horizon control is proposed for continuous-time generalised predictive control (CGPC), where the uncertainty of the model given by global identification techniques is matched to the robustness of a model-based predictive controller.

Abstract: Advances in model-based predictive control Matching the uncertainty of the model given by global identification techniques to the robustness of a model-based predictive controller Stability and output terminal constraints in predictive control Use of qualitative models for the choice of design parameters of model-based predictive controllers Artificial neural network model-based control Neural network based adaptive predictive control Fuzzy generalized predictive controller A game theoretic approach to moving horizon control Pre-tuning of self-tuners Stabilizing predictive control: the singular transition-matrix case Robust adaptive predictive control Continuous-time generalised predictive control (CGPC): Implementation issues Evaluation of stochastic characteristics for a constrained GPC algorithm Model-based predictive control for two-dimensional dynamic processes Model-based predictive controller with Kalman filtering for state estimation On the relationship between GPC and PIP controllers A comparative study of GPC and DMC controllers Constrained generalized predictive control with dynamic programming Min-max model-based predictive control Stability and robustness of constrained model predictive control New sufficient conditions for global stability of receding horizon control for discrete-time nonlinear systems Nonlinear model-based predictive control Model-based predictive control methods based on non-linear and bilinear parametric system descriptions Stability results for constrained model predictive control Stability in constrained predictive control Stability of constrained MBPC using an internal model control structure Actuator nonlinearities in predictive control Advances in constrained generalized predictive control with application to a dynamometer model Application of constrained GPC for improving performance of controlled plants Generalised predictive control in clinical anaesthesia Modelling control in a large water treatment works Design and realization of a MIMO predictive controller for a 3-tank system Predictive control for target tracking Predictive control application in the machine-tool field Application of GPC to a solar power plant