Model Predictive Control

From power plants to sugar refining model predictive control MPC schemeshave established themselves as the preferred control strategies for a widevariety of pro... » 

From power plants to sugar refining model predictive control MPC schemeshave established themselves as the preferred control strategies for a widevariety of processes. The second edition of Model Predictive Control providesa thorough introduction to theoretical and practical aspects of the mostcommonly used MPC strategies. It bridges the gap between the powerful but oftenabstract techniques of control researchers and the more empirical approach ofpractitioners. Model Predictive Control demonstrates that a powerfultechnique does not always require complex control algorithms. The text featuresmaterial on the following subjects general MPC elements and algorithmscommercial MPC schemes generalized predictive control multivariable robustconstrained nonlinear and hybrid MPC fast methods for MPC implementationapplications. All of the material is thoroughly updated for the second editionwith the chapters on nonlinear MPC MPC and hybrid systems and MPCimplementation being entirely new. Many new exercises and examples have alsobeen added throughout and Matlab programs to aid in their solution can bedownloaded from the authors website at httpwww.esi.us.esMPCBOOK. The textis an excellent aid for graduate and advanced undergraduate students and willalso be of use to researchers and industrial practitioners wishing to keepabreast of a fastmoving field. TOCIntroduction to Model Predictive Control.Model Predictive Controllers. Commercial Model Predictive Control Schemes.Generalized Predictive Control. Simple Implementation of GPC for IndustrialProcesses. Multivariable Model Predictive Control. Constrained ModelPredictive Control. Robust Model Predictive Control. Nonlinear ModelPredictive Control. Model Predictive Control and Hybrid Systems. Fast Methodsfor Implementing Model Predictive Control. Applications. Appendix A Revisionof the Simplex Method. Appendix B Dynamic Programming and Linear QuadraticOptimal Control. «