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.
1. State Space Systems With Time-Delays Analysis, Identification, and Applications - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. v 6. About the authors - p. ix 7. Acknowledgment - p. xi 8. Chapter 1 One-unit state-delay identification - p. 1 9. Chapter 2 D-step state-delay identification - p. 23 10. 2.1: State filtering and parameter estimation for d-step state delay - p. 23 11. 2.2: Identification and U-control of dual-rate state-space models with d-step state delay - p. 34 12. 2.3: Parameter estimation algorithm for d-step time-delay systems - p. 55 13. 2.4: Communicative state and parameters estimation for dual-rate state-space systems with time delays - p. 63 14. 2.4.1: Problem formulation - p. 65 15. 2.4.2: Augmented state estimation - p. 66 16. 2.4.3: Recursive parameter estimation - p. 70 17. 2.4.4: Case study - p. 77 18. 2.5: Conclusion - p. 80 19. Chapter 3 Multiple state-delay identification - p. 85 20. 3.1: Parameter estimation and convergence for state-space model with time delay - p. 85 21. 3.2: Iterative parameter estimation for state-space model with multistate delays based on decomposition - p. 96 22. 3.3: Least squares-based iterative parameter estimation algorithm for multiple time delay - p. 112 23. 3.4: Two-stage least squares-based iterative parameter identification algorithm for time-delay systems - p. 123 24. 3.5: Conclusions - p. 131 25. Chapter 4 Multivariable time-delay system identification - p. 139 26. 4.1: Parameter estimation for a multivariable state space system with d-step delay - p. 139 27. 4.2: State filtering and parameter estimation for multivariable system - p. 152 28. 4.2.1: The problem formulation - p. 154 29. 4.2.2: The parameter estimation algorithm - p. 158 30. 4.2.3: The state estimation algorithm - p. 161 31. 4.2.4: Example - p. 169 32. 4.2.5: Conclusions - p. 176 33. Chapter 5 Nonlinear time-delay system identification - p. 179 34. 5.1: Parameter estimation for a Hammerstein state-space system with time delay - p. 179 35. 5.2: The bias compensation-based parameter and state estimation for a nonlinear system - p. 197 36. 5.3: Conclusion - p. 215 37. Appendix - p. 215 38. Chapter 6 Uncertain state delay systems identification - p. 221 39. 6.1: State space model identification of multirate processes with uncertain time delay - p. 221 40. 6.2: Moving horizon estimation for multirate system with time-varying time delays - p. 236 41. Index - p. 257
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.
1. State Space Systems With Time-Delays Analysis, Identification, and Applications - p. iii 2. Cover - p. iii 3. Title Page - p. iii 4. Copyright Page - p. iv 5. Table of Contents - p. v 6. About the authors - p. ix 7. Acknowledgment - p. xi 8. Chapter 1 One-unit state-delay identification - p. 1 9. Chapter 2 D-step state-delay identification - p. 23 10. 2.1: State filtering and parameter estimation for d-step state delay - p. 23 11. 2.2: Identification and U-control of dual-rate state-space models with d-step state delay - p. 34 12. 2.3: Parameter estimation algorithm for d-step time-delay systems - p. 55 13. 2.4: Communicative state and parameters estimation for dual-rate state-space systems with time delays - p. 63 14. 2.4.1: Problem formulation - p. 65 15. 2.4.2: Augmented state estimation - p. 66 16. 2.4.3: Recursive parameter estimation - p. 70 17. 2.4.4: Case study - p. 77 18. 2.5: Conclusion - p. 80 19. Chapter 3 Multiple state-delay identification - p. 85 20. 3.1: Parameter estimation and convergence for state-space model with time delay - p. 85 21. 3.2: Iterative parameter estimation for state-space model with multistate delays based on decomposition - p. 96 22. 3.3: Least squares-based iterative parameter estimation algorithm for multiple time delay - p. 112 23. 3.4: Two-stage least squares-based iterative parameter identification algorithm for time-delay systems - p. 123 24. 3.5: Conclusions - p. 131 25. Chapter 4 Multivariable time-delay system identification - p. 139 26. 4.1: Parameter estimation for a multivariable state space system with d-step delay - p. 139 27. 4.2: State filtering and parameter estimation for multivariable system - p. 152 28. 4.2.1: The problem formulation - p. 154 29. 4.2.2: The parameter estimation algorithm - p. 158 30. 4.2.3: The state estimation algorithm - p. 161 31. 4.2.4: Example - p. 169 32. 4.2.5: Conclusions - p. 176 33. Chapter 5 Nonlinear time-delay system identification - p. 179 34. 5.1: Parameter estimation for a Hammerstein state-space system with time delay - p. 179 35. 5.2: The bias compensation-based parameter and state estimation for a nonlinear system - p. 197 36. 5.3: Conclusion - p. 215 37. Appendix - p. 215 38. Chapter 6 Uncertain state delay systems identification - p. 221 39. 6.1: State space model identification of multirate processes with uncertain time delay - p. 221 40. 6.2: Moving horizon estimation for multirate system with time-varying time delays - p. 236 41. Index - p. 257
