State Space Systems With Time-Delays Analysis, Identification, and Applications
- 1st Edition - March 28, 2023
- Latest edition
- Authors: Ya Gu, Chuanjiang Li
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 1 7 6 8 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 7 2 1 2 - 3
State Space Systems with Time-Delays Analysis, Identification and Applications covers the modeling, identification and control of industrial applications, including system id… Read more
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.
- Presents the basic concepts of time delay systems stability analysis and classical time delay system identification methods
- Discusses the stability analysis of complex time delay systems
- Presents the identification of uncertain and unknown time delay systems
- Provides examples of industrial application
Graduate and postgraduate students, lecturers and researchers in control science, various fields of engineering, biological processes, and applied mathematics
Chapter 1, Identification of one-unit state delay for state space systems
1.1 Auxiliary model based least squares method for a state space model with one-unit state delay
1.2 Least squares method for a state space model with one-unit state delay
Chapter 2, Identification of d-step state delay for state space systems
2.1 State filtering and parameter estimation for linear systems with d-step state delay
2.2 Identification and U-control of dual-rate state-space models with 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 state-space systems with time delays
Chapter 3, Identification of multiple state-delay for state space systems
3.1 A least squares identification algorithm for state space model with multi-state delays
3.2 States based iterative parameter estimation for a state space model with multi-state delays using decomposition
3.3 Least squares based iterative parameter estimation algorithm for state space model with time delay
3.4 Parameter estimation algorithm for state space systems with time-delay based on the iterative identification
3.5 Two-stage least squares based iterative parameter identification method for time delay systems
Chapter 4, Identification of multivariable state space system with time delay
4.1 Parameter estimation for a multivariable state space system
4.2 Parameter estimation for a multivariable state space system with d-step delay
Chapter 5, Identification of nonlinear state space system with time delay
5.1 Parameter estimation for an input nonlinear state space system with time delay
5.2 Bias compensation based parameter and state estimation for a class of time delay nonlinear state space models
Chapter 6, Identification of uncertain state delay for state space systems
6.1 State space model identification of multirate processes with time delay using the expectation maximization
6.2 Moving horizon estimation for multirate system with time varying time delays
- Edition: 1
- Latest edition
- Published: March 28, 2023
- Language: English
YG
Ya Gu
She obtained her PhD from Jiangnan University, China in 2015. She was a visiting student of the University of Alberta in 2014 and a post doctor of the University of the West of England in 2019. Her main research interests are in the areas of system modelling, system identification, time delay system and control applications.
Affiliations and expertise
Associate Professor, College of Information, Mechanical and Electrical Engineering, Shanghai Normal University, Shanghai, ChinaCL
Chuanjiang Li
Dr. Chuanjiang Li received his MS degree from Henan University of Science and Technology, China in 2003, and his PhD degree in Shanghai University, China in 2014. He is currently a professor in Shanghai Normal University. His current research interests include intelligent mobile robots, human robot interaction, and intelligent control theory and application.
Affiliations and expertise
Shanghai Normal University, Shanghai, ChinaRead State Space Systems With Time-Delays Analysis, Identification, and Applications on ScienceDirect