Adaptive sampled-data output tracking of parametric strict-feedback non-linear systems

Author(s): J. Zhang ; H. Xu ; H. Zheng
DOI: 10.1049/iet-cta.2011.0154

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Author(s): J. Zhang ¹ ; H. Xu ¹ ; H. Zheng ¹
- Affiliations: 1: School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, People’s Republic of China
Source: Volume 6, Issue 7, 3 May 2012, p. 985 – 991
DOI: 10.1049/iet-cta.2011.0154 , Print ISSN 1751-8644, Online ISSN 1751-8652

In this study, the authors address the problem of output tracking for single-input and single-output (SISO) parametric strict-feedback (PSF) non-linear systems in the presence of uncertain parameters under adaptive sampled-data control. The main contributions of this work are twofold: (i) the authors develop a systematic design procedure for adaptive sampled-data controller by combining the backstepping technique with two kinds of discretisation approaches; and (ii) they also provide a theoretical analysis for the performance of sampled-data controller, which shows that the proposed adaptive sampled-data controller can regulate the tracking error to any given neighbourhood of the origin and the state of the sampled-data closed-loop system is bounded. Finally, an illustrative example is given to demonstrate the effectiveness of the presented method.

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Adaptive sampled-data output tracking of parametric strict-feedback non-linear systems

Adaptive sampled-data output tracking of parametric strict-feedback non-linear systems

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