Abstract
Efficient and easily reconfigurable predictive controllers are described in the paper. They are based on Takagi–Sugeno (TS) fuzzy models with local models in the form of the step responses. In these algorithms the TS fuzzy model is utilized in such a way that the control law can be calculated at each iteration in a simple and easy way. They are computationally efficient and can be easily reconfigured during adaptation to new situations, like e.g. actuator faults that can occur in the control system.
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Marusak, P.M. (2008). Easily Reconfigurable Analytical Fuzzy Predictive Controllers: Actuator Faults Handling. In: Kang, L., Cai, Z., Yan, X., Liu, Y. (eds) Advances in Computation and Intelligence. ISICA 2008. Lecture Notes in Computer Science, vol 5370. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92137-0_44
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DOI: https://doi.org/10.1007/978-3-540-92137-0_44
Publisher Name: Springer, Berlin, Heidelberg
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