1. How could data integrate with control? A review on data-based control strategy
- Author
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Jia-Wen Gao and Jing-Wen Huang
- Subjects
Estimation ,0209 industrial biotechnology ,Control and Optimization ,Observer (quantum physics) ,Computer science ,Mechanical Engineering ,Control (management) ,02 engineering and technology ,01 natural sciences ,Industrial engineering ,Data type ,020901 industrial engineering & automation ,Control and Systems Engineering ,Modeling and Simulation ,Data control ,0103 physical sciences ,Electrical and Electronic Engineering ,Observer based ,010301 acoustics ,Civil and Structural Engineering - Abstract
In recent years, data-driven research has attracted significant attention from both industry and academia due to its success in medical, transportation, finance and other fields. How could data tightly integrate with control is a hot issue being explored. This paper provides a brief survey on the relationship of data and control. Four types of data-based control studies are considered, namely post-identification control, direct data control, learning control, and observer-based control. The observer based control can provide real-time observation and estimation of the unknown dynamic systems. It has a great potential in solving complex online control problems. This paper classifies and analyzes the observer integrated control, covering the latest research progress and forecasting the development trend in this direction. This paper concludes with a summary advantages and disadvantages of data-based controls.
- Published
- 2020
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