The book will be of interest to both researchers and designers, and control engineers.

• 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

The book will be of interest to both researchers and designers, and control engineers.

• 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