Preface ix
List of Acronyms and Notations xi
Chapter 1 Introduction - Models and Dynamic Systems 1
1.1 Overview 1
1.2 Industrial process modeling 3
1.3 Model classes 5
Chapter 2 Linear Identification of Closed-Loop Systems 21
2.1 Overview of system identification 21
2.2 Framework 22
2.3 Preliminary identification of a CL process 27
2.4 CLOE class of identification methods 39
2.5 Application: identification of active suspension 80
Chapter 3 Digital Control Design Using Pole Placement 93
3.1 Digital proportional-integral-derivative algorithm control 93
3.2 Digital polynomial RST control 96
3.3 RST control by pole placement 98
3.4 Predictive RST control 104
Chapter 4 Adaptive Control and Robust Control 113
4.1 Adaptive polynomial control systems 113
4.2 Robust polynomial control systems117
Chapter 5 Multimodel Control 131
5.1 Construction of multimodels 132
5.2 Stabilization and control of multimodels 144
5.3 Design of multimodel command: fuzzy approach 144
5.4 Trajectory tracking 145
Chapter 6 Ill-Defined and/or Uncertain Systems 147
6.1 Study of the stability of nonlinear systems from vector norms 147
6.2 Adaptation of control 156
6.3 Overvaluation of the maximum error for various applications 157
6.4 Fuzzy secondary loop control 171
Chapter 7 Modeling and Control of an Elementary Industrial Process 173
7.1 Modeling and control of fluid transfer processes 173
7.2 Modeling and controlling liquid storage processes 180
7.3 Modeling and controlling the storage process of a pneumatic capacitor 187
7.4 Modeling and controlling heat transfer processes 191
7.5 Modeling and control of component transfer processes 195
Chapter 8 Industrial Applications - Case Studies 203
8.1 Digital control for an installation of air heating in a steel plant 203
8.2 Control and optimization of an ethylene installation 210
8.3 Digital control of a thermoenergy plant 219
8.4 Extremal control of a photovoltaic installation 226
Appendix A. 243
Appendix B. 249
Appendix C. 257
Appendix D. 261
Bibliography 271
Index 279
