Chapter 1 Introduction of data driven
control/1 1.1 Introduction/l 1.2 Outline and contributions/6 1.3 Publications/8 Chapter 2 Data driven model predictive
control/11 2.1 Introduction/11 2.2 Application of bounded error
identification into model predictive control/13 2.3 Application of interval predictor model into model predictive control /29 2.4 Stability analysis in cooperative
distributed model predictive control /48 2.5 Summary/60 Chapter 3 Data driven identification for
closed loop system/61 3.1 Introduction/61 3.2 Stealth identification strategy for
closed loop linear time invariant system/63 3.3 Performance analysis of closed loop
system with a tailor made parameterization / 81 3.4 Minimum variance control strategy for closed loop system / 98 3.5 Summary/107 Chapter 4 Data
driven model validation for closed loop system/108 4.1 Introduction/108 4.2 Model structure validation for closed
loop system identification/109 4.3 Non-asymptotic confidence regions in
closed loop model validation /123 4.4 Further results on model structure
validation / 128 4.5 Finite sample properties for closed loop identification/135 4.6 Summary/149 Chapter5Data driven identification for
nonlinear system/151 5.1 Introduction/151 5.2 Parallel distributed estimation for
polynomial nonlinear state space models/152 5.3 Summary/175 Chapter 6 Data driven iterative tuning
control/176 6.1 Introduction / 176 6.2 Zonotope parameter identification for piecewise affine system/177 6.3 Iterative correlation tuning control
for closed loop linear time invariant system /
194 6.4 Controller design for many variables
closed loop system under non-interaction condition
/213 6.5 Summary/225 Chapter 7 Data driven applications/226 7.1 Introduction/226 7.2 Applying set membership strategy in
state of charge estimation for Lithium-ion battery
/227 7.3 Optimal input signal design for
aircraft flutter model parameters identification / 254 7.4 Summary/290 Chapter 8 Conclusions
and outlook/291 8.1 Conclusions/291 8.2 Outlook/294 References/296 Postscript/310
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