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Towards Robust Predictive Control for Non-linear Discrete Time System

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Advanced and Intelligent Computations in Diagnosis and Control

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 386))

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Abstract

The paper is devoted to the issue of a robust predictive control for a class of non-linear discrete-time systems with an application of an ellipsoidal inner-bounding of a robust invariant set. The crucial issue is to maintain the state of the system inside the robust invariant feasible set, which is a set of states guaranteeing the stability of the proposed control strategy. The approach presented in this paper starts with a robust control design. In case the robust control does not provide expected results, which means that the current state does not belong to the robust invariant set, then a suitable predictive control action is performed in order to enhance the ellipsoidal invariant set. This appealing phenomenon makes it possible to enlarge the domain of attraction of the system that makes the proposed approach an efficient solution to the model predictive control problem.

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Acknowledgments

The authors would like to express their sincere gratitude to the referees, whose constructive comments contributed significantly toward the current shape of the paper. The work was supported by the National Science Center of Poland under grant no. 2013/11/B/ST7/01110.

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Correspondence to Mariusz Buciakowski .

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Buciakowski, M., Witczak, M., Korbicz, J. (2016). Towards Robust Predictive Control for Non-linear Discrete Time System. In: Kowalczuk, Z. (eds) Advanced and Intelligent Computations in Diagnosis and Control. Advances in Intelligent Systems and Computing, vol 386. Springer, Cham. https://doi.org/10.1007/978-3-319-23180-8_13

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  • DOI: https://doi.org/10.1007/978-3-319-23180-8_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23179-2

  • Online ISBN: 978-3-319-23180-8

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