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Data Driven Strategy for Linear Parameter Varying Control Design
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DOI：10.1109/ACCESS.2022.3187968.png)
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Abstract
En 中文
In this paper, we propose a novel data driven strategy framework for linear parameter varying closed loop system which consists of linear parameter varying system and linear parameter varying controller simultaneously. Firstly, we consider the model based control framework whose controller design is dependent of the considered system. In particular, due to the unknown system and unknown controller, data driven strategy is applied to obtain the system and controller respectively in their nonparametric and parametric forms. Such two different forms are related with system identification, power spectral and numerical optimization,etc. with a choice of the optimal input signal design. Secondly, to avoid the identification process of that system, data driven strategy is modified to design the controller directly from the observed input-output data sequence without providing any priori information on the considered system. We show that various techniques for data driven strategy to identify system or design controller, such as system identification, numerical optimization, power spectral and optimal input design etc within the proposed general framework.
Keywords:
Process control
Linear systems
Data models
Vehicle dynamics
Computational modeling
Optimization
Mathematical models
Linear parameter varying system or controller
data driven strategy
nonparametric and parametric estimation
optimal input signal
power spectral
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
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