Chapter 1 Introduction of data driven control
1.1 Introduction
1.2 Outline and contributions
1.3 Publications
Chapter 2 Data driven model predictive control
2.1 Introduction
2.2 Application of bounded error identification into model predictive control
2.3 Application of interval predictor model into model predictive control
2.4 Stability analysis in cooperative distributed model predictive control
2.5 Summary
Chapter 3 Data driven identification for closed loop system
3.1 Introduction
3.2 Stealth identification strategy for closed loop linear time invariant system
3.3 Performance analysis of closed loop system with a tailor made parameterization
3.4 Minimum variance control strategy for closed loop system
3.5 Summary
Chapter 4 Data driven model validation for closed loop system
4.1 Introduction
4.2 Model structure validation for closed loop system identification
4.3 Non-asymptotic confidence regions in closed loop model validation
4.4 Further results on model structure validation
4.5 Finite sample properties for closed loop identification
4.6 Summary
Chapter 5 Data driven identification for nonlinear system
5.1 Introduction
5.2 Parallel distributed estimation for polynomial nonlinear state space models
5.3 Summary
Chapter 6 Data driven iterative tuning control
6.1 Introduction
6.2 Zonotope parameter identification for piecewise affine system
6.3 Iterative correlation tuning control for closed loop linear time invariant system
6.4 Controller design for many variables closed loop system under non-interaction condition
6.5 Summary
Chapter 7 Data driven applications
7.1 Introduction
7.2 Applying set membership strategy in state of charge estimation for Lithium-ion battery
7.3 Optimal input signal design for aircraft flutter model parameters identification
7.4 Summary
Chapter 8 Conclusions and outlook
8.1 Conclusions
8.2 Outlook
References
Postscript
