Abstract
The paper deals with the problem of robust predictive fault-tolerant control for non-linear discrete-time systems. The proposed approach is based on a triple stage procedure, i.e. its starts from fault estimation, the fault is compensated with a robust controller. Finally, if the fault compensation does not provide satisfactory, which means that the current state does not belong to the robust invariant set, then a suitable predictive control actions are performed in order to enhance the invariant set. This appealing phenomenon makes it possible to enlarge the domain of attraction, which makes the proposed approach an efficient solution. The final part of the paper shows how to extend the proposed approach to the non-linear systems that can be described with the Takagi-Sugeno models.
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Witczak, M., Witczak, P. (2014). Efficient Predictive Fault-Tolerant Control for Non-linear Systems. In: Korbicz, J., Kowal, M. (eds) Intelligent Systems in Technical and Medical Diagnostics. Advances in Intelligent Systems and Computing, vol 230. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39881-0_5
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DOI: https://doi.org/10.1007/978-3-642-39881-0_5
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