Abstract
One principle for designing the robust Takagi-Sugeno fuzzy fault detection filter, dedicated to a class of continuous-time nonlinear MIMO system, is treated in this paper. The problem addressed can be designated as an approach exploiting the fuzzy reference model to reflect the problem as an H ∞ optimization task, guaranteeing the fault detection performance and the state observer stability. The conditions are outlined in the terms of linear matrix inequalities to possess a stable structure closest to optimal asymptotic properties.
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Filasová, A., Hladký, V., Krokavec, D. (2015). Robust TS Fuzzy Fault Detection Filters Design. In: Sinčák, P., Hartono, P., Virčíková, M., Vaščák, J., Jakša, R. (eds) Emergent Trends in Robotics and Intelligent Systems. Advances in Intelligent Systems and Computing, vol 316. Springer, Cham. https://doi.org/10.1007/978-3-319-10783-7_22
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DOI: https://doi.org/10.1007/978-3-319-10783-7_22
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