Data-Driven Iterative Learning Control for Discrete-Time Systems

Data-Driven Iterative Learning Control for Discrete-Time Systems

Hui, Yu; Chi, Ronghu; Hou, Zhongsheng

Springer Verlag, Singapore

11/2022

235

Dura

Inglês

9789811959493

15 a 20 dias

Descrição não disponível.
Chapter 1: Introduction.- Chapter 2: Iterative Dynamic Linearization of Nonlinear Repetitive Systems.- Chapter 3: Data-Driven Optimal Iterative Learning Control.- Chapter 4: Knowledge Enhanced Data-Driven Optimal Terminal ILC.- Chapter 5: Data-Driven Optimal Point-to-Point ILC using Intermidient Information.- Chapter 6: Higher order Data-Driven Optimal Iterative Learning Control.- Chapter 7: Data-Driven Optimal Iterative Learning Control with Varying Trial Length.- Chapter 8: Data-Driven Optimal Iterative Learning Control with Package Dropouts.- Chapter 9: Constrained Data-Driven Optimal Iterative Learning Control.- Chapter 10: ESO-based Data-Driven Optimal Iterative Learning Control.- Chapter 11: Quantized Data-Driven Optimal Iterative Learning Control.- Chapter 12: Event-triggered Data-driven Optimal Iterative Learning Control.- Chapter 13: Conclusions and Perspectives.- Appendices.
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Data-driven Control;Iterative Learning Control;Optimal ILC;Point-to-Point ILC;Terminal ILC;Package Dropouts;Constrained Systems;Varying Trial Length;Quantized Systems;Event-triggered Mechanism;Extended State Observer