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Table of Contents

Preface

Chapter 1 – Model Predictive Control with Input and Output Constraints (pp. 1-40)
Alessandro Serpi, Gianluca Gatto, Alfonso Damiano and Ignazio Marongiu (Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d’Armi, Cagliari, Italy)

Chapter 2 – A Model Predictive Control for an Aggregate Actuator with a Self-Tuning Initial Condition Procedure in Combustion Engines (pp. 41-60)
Paolo Mercorelli, Benedikt Haus and Nils Werner (Institute of Product and Process Innovation, Leuphana University of Lüneburg, Volgershall, Lüneburg, Germany, and others)

Chapter 3 – A Decoupled MPC Using a Geometric Approach and Feedforward Action for Motion Control in Robotino (pp. 61-76)
Daniel Strassberger and Paolo Mercorelli (Institute of Product and Process Innovation, Leuphana University of Lüneburg, Volgershall, Lüneburg, Germany)

Chapter 4 – Robust Model Predictive Control of Hammerstein Systems (pp. 77-98)
Silvina Inés Biagiola and José Luis Figueroa (Departamento de Ingenierýa Electrica y de Computadoras, IIIE (UNS-CONICET), Bahýa Blanca, Argentina)

Chapter 5 – Model Predictive Control in Hilbert Space (pp. 99-116)
A. I. Propoi (Institute of Systems Analysis, Russian Academy of Sciences, Moscow, Russia)

Chapter 6 – Coordinated Flexible Distributed Model Predictive Control (pp. 117-144)
Yi Zheng and Shaoyuan Li (School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China)

Chapter 7 – Feasible Set In Model Predictive Control (pp. 145-154)
A. I. Propoi (Institute of Systems Analysis, Russian Academy of Sciences, Moscow, Russia)

Index