This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis and design methods, strategy developments and practical applications. The main contents of the book include an overview of the development trajectory and basic principles of MPC, typical MPC algorithms, quantitative analysis of classical MPC systems, design and tuning methods for MPC parameters, constrained multivariable MPC algorithms and online optimization decomposition methods. Readers will then progress to more advanced topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and optimization strategies, and robust MPC. Finally, applications of MPC and its generalization to optimization-based dynamic problems other than control will be discussed.
Author(s): Yugeng Xi, Dewei Li
Publisher: Wiley
Year: 2019
Language: English
Pages: 334
Cover......Page 1
Predictive Control: Fundamentals and Developments......Page 3
© 2019......Page 4
Contents......Page 5
Preface......Page 10
1 Brief History and Basic Principles of Predictive Control......Page 13
2 Some Basic Predictive Control A......Page 26
3 Trend Analysis and Tuning of SISO Unconstrained DMC Systems......Page 51
4 Quantitative Analysis of SISO Unconstrained Predictive
Control Systems......Page 84
5 Predictive Control for MIMO Constrained Systems......Page 123
6 Synthesis of Stable Predictive Controllers......Page 156
7 Synthesis of Robust Model Predictive Control......Page 188
8 Secure Pervasive Healthcare System and Diabetes
Prediction Using Heuristic Algorithm......Page 237
9 Threshold-Based Energy-Efficient Routing Protocol for
Critical Data Transmission to Increase Lifetime in
HeterogeneousWireless Body Area Sensor Net......Page 264
10 Privacy and Security Issues onWireless Body Area and IoT
for Remote Healthcare Monitoring......Page 283
11 Generalization of Predictive Control Principles
......Page 310
Index......Page 326
