Data-driven switched-gain observation and control
摘要
This paper proposes a kind of switched-gain observer-based control approach for unknown nonlinear network systems using distributed process data. By utilizing Willems behavioral system theory, a system explaining the data is constructed by virtue of finite data in collected distributed process data without any system identification step. A data-based controllability criterion is developed for switched-gain observer-based control. Under the unknown nonlinear system framework, a data-driven switched-gain observer-based controller is designed. The global stability of the system is guaranteed under the designed controller. The presented approach is also extended to the data-driven switched-gain observer design. Finally, an example is provided to verify the effectiveness of the obtained results.