1 Introduction to Model Based Predictive Control. - 1. 1 MPC Strategy. - 1. 2 Historical Perspective. - 1. 3 Outline of the chapters. - 2 Model Based Predictive Controllers. - 2. 1 MPC Elements. - 2. 2 Review of some MPC Algorithms. - 2. 3 MPC Based on the Impulse Response. - 2. 4 Generalized Predictive Control. - 2. 5 Constrained Receding-Horizon Predictive Control. - 2. 6 Stable GPC. - 2. 7 Filter Polynomials for Improving Robustness. - 3 Simple Implementation of GPC for Industrial Processes. - 3. 1 Plant Model. - 3. 2 The Dead Time Multiple of Sampling Time Case. - 3. 3 The Dead Time non Multiple of the Sampling Time Case. - 3. 4 Integrating Processes. - 3. 5 Consideration of Ramp Setpoints. - 4 Robustness Analysis in Precomputed GPC. - 4. 1 Structured Uncertainties. - 4. 2 Stability Limits with Structured Uncertainties. - 4. 3 Unstructured Uncertainties. - 4. 4 Relationship between the two Types of Uncertainties. - 4. 5 General Comments. - 5 Multivariate GPC. - 5. 1 Derivation of Multivariable GPC. - 5. 2 Obtaining a Matrix Fraction Description. - 5. 3 State Space Formulation. - 5. 4 Dead Time Problems. - 5. 5 Example: Distillation Column. - 6 Constrained MPC. - 6. 1 Constraints and GPC. - 6. 2 Revision of Main Quadratic Programming Algorithms. - 6. 3 Constraints Handling. - 6. 4 1-norm. - 6. 5 Constrained MPC and Stability. - 7 Robust MPC. - 7. 1 Process Models and Uncertainties. - 7. 2 Objective Functions. - 7. 3 Illustrative Examples. - 8 Applications. - 8. 1 Solar Power Plant. - 8. 2 Composition Control in an Evaporator. - 8. 3 Pilot Plant. - A Revision of the Simplex method. - A. 1 Equality Constraints. - A. 2 Finding an Initial Solution. - A. 3 Inequality Constraints. - B Model Predictive Control Simulation Program. - References. Language: English