State Space Systems with Time-Delays Analysis, Identification and Applications covers the modeling, identification and control of industrial applications, including system identification, parameter estimation, dynamic simulation, nonlinear control, and other emerging techniques. The book introduces basic time-delay systems, architectures and control methods. Emphasis is placed on the mathematical analysis of these systems, identifying them, and applying them to practical engineering problems such as three independent water tank systems and distillation systems. This book contains a wide range of time-delay system identification methods that can help readers master the system controllers’ design methods.
Author(s): Ya Gu; Chuanjiang Li
Publisher: Elsevier
Year: 2023
Language: English
Pages: 309
Title page
Copyright
About the authors
Acknowledgment
Introduction
1 An overview of each chapter
Chapter 1. One-unit state-delay identification
Abstract
1.1 Auxiliary model identification method for a unit time-delay system
1.2 Parameter and state estimation algorithm for one-unit state-delay
system
1.3 Conclusions
References
Chapter 2. D-step state-delay identification
Abstract
2.1 State filtering and parameter estimation for d-step state delay
2.2 Identification and U-control of dual-rate state-space models with
3
d-step state delay
2.3 Parameter estimation algorithm for d-step time-delay systems
2.4 Communicative state and parameters estimation for dual-rate statespace
systems with time delays
2.5 Conclusion
References
Chapter 3. Multiple state-delay identification
Abstract
3.1 Parameter estimation and convergence for state-space model with
time delay
3.2 Iterative parameter estimation for state-space model with multistate
delays based on decomposition
3.3 Least squares-based iterative parameter estimation algorithm for
multiple time delay
3.4 Two-stage least squares-based iterative parameter identification
algorithm for time-delay systems
3.5 Conclusions
References
Chapter 4. Multivariable time-delay system identification
Abstract
4
4.1 Parameter estimation for a multivariable state space system with dstep
delay
4.2 State filtering and parameter estimation for multivariable system
References
Chapter 5. Nonlinear time-delay system identification
Abstract
5.1 Parameter estimation for a Hammerstein state-space system with
time delay
5.2 The bias compensation-based parameter and state estimation for a
nonlinear system
5.3 Conclusion
Appendix
References
Chapter 6. Uncertain state delay systems identification
Abstract
6.1 State space model identification of multirate processes with uncertain
time delay
6.2 Moving horizon estimation for multirate system with time-varying
time delays
References
5
Index
6
