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On Online Adaptive Direct Data Driven Control
DOI:10.1109/ACCESS.2022.3207840.png)
摘要
En 中文
Based on our recent contributions on direct data driven control scheme, this paper continues to do some new research on direct data driven control, paving another way for latter future work on advanced control theory. Firstly, adaptive idea is combined with direct data driven control, one parameter adjustment mechanism is constructed to design the parameterized controller online. Secondly, to show the input-output property for the considered closed loop system, passive analysis is studied to be similar with stability. Thirdly, to validate whether the designed controller is better or not, another safety controller modular is added to achieve the designed or expected control input with the essence of model predictive control. Finally, one simulation example confirms our proposed theories. More generally, this paper studies not only the controller design and passive analysis, but also some online algorithm, such as recursive parameter identification and online subgradient descent algorithm. Furthermore, safety controller modular is firstly introduced in direct data driven control scheme.
Keyword:
Data models
Mathematical models
Predictive control
Adaptive systems
Safety
Control systems
Adaptation models
Adaptive direct data driven control
passive analysis
safety controller
online
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems不确定非线性系统的计算效率高的鲁棒模型预测控制框架
A novel robust Virtual Reference Feedback Tuning approach for minimum and non-minimum phase systems一种用于最小和非最小相位系统的新型鲁棒虚拟参考反馈调谐方法
ISA TRANSACTIONS
IF6.5

