Fractional uncertainties are involved in many practical systems. Currently, there is a lack of research results about such general class of nonlinear systems in the context of learning control. This paper presents a Lyapunov-synthesis approach to repetitive learning control (RLC) being unified due to the use of the direct parametrization and adaptive bounding techniques. To effectively handle fractional uncertainties, the estimation method for such uncertainties is elaborated to facilitate the controller design and convergence analysis. Its novelty lies in the less requirement for the knowledge about the system undertaken. Unsaturated- and saturated-learning algorithms are, respectively, characterized by which both the boundedness of the variables in the closed-loop system undertaken and the asymptotical convergence of the tracking error are established. Experimental results are provided to verify the effectiveness of the presented learning control.
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June 2018
Research-Article
A Unified Design Approach to Repetitive Learning Control for Systems Subject to Fractional Uncertainties
Mingxuan Sun,
Mingxuan Sun
Professor
College of Information Engineering,
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: mxsun@zjut.edu.cn
College of Information Engineering,
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: mxsun@zjut.edu.cn
Search for other works by this author on:
He Li,
He Li
College of Information Engineering,
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: hlihz@hotmail.com
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: hlihz@hotmail.com
Search for other works by this author on:
Yanwei Li
Yanwei Li
College of Information Engineering,
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: lyw199202@163.com
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: lyw199202@163.com
Search for other works by this author on:
Mingxuan Sun
Professor
College of Information Engineering,
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: mxsun@zjut.edu.cn
College of Information Engineering,
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: mxsun@zjut.edu.cn
He Li
College of Information Engineering,
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: hlihz@hotmail.com
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: hlihz@hotmail.com
Yanwei Li
College of Information Engineering,
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: lyw199202@163.com
Zhejiang University of Technology,
Hangzhou 310023, China
e-mail: lyw199202@163.com
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received February 25, 2017; final manuscript received November 6, 2017; published online December 19, 2017. Assoc. Editor: Ryozo Nagamune.
J. Dyn. Sys., Meas., Control. Jun 2018, 140(6): 061003 (11 pages)
Published Online: December 19, 2017
Article history
Received:
February 25, 2017
Revised:
November 6, 2017
Citation
Sun, M., Li, H., and Li, Y. (December 19, 2017). "A Unified Design Approach to Repetitive Learning Control for Systems Subject to Fractional Uncertainties." ASME. J. Dyn. Sys., Meas., Control. June 2018; 140(6): 061003. https://doi.org/10.1115/1.4038488
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