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Sensor fault reconstruction and observability for unknown inputs, with an application to wastewater treatment plants.

, , and . Int. J. Control, 84 (4): 822-833 (2011)

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Fuzzy identification of a greenhouse., , , and . Appl. Soft Comput., 7 (3): 1092-1101 (2007)How to Use an Adaptive High-gain Observer in Diagnosis Problems., , , and . ICINCO (2), page 185-190. SciTePress, (2012)First steps toward a simple but efficient model-free control synthesis for variable-speed wind turbines., , , and . CoRR, (2020)An intelligent fuzzy system to manage western flower thrips population under biological treatment in roses yield., , , and . Comput. Electron. Agric., (September 2023)A model-free control strategy for an experimental greenhouse with an application to fault accommodation., , , and . Comput. Electron. Agric., (2015)Unknown-input observability with an application to prognostics for Waste Water Treatment Plants., , , and . Eur. J. Control, 20 (2): 95-103 (2014)Evaluation of the reference evapotranspiration for a greenhouse crop using an Adaptive-Network-Based Fuzzy Inference System (ANFIS)., , , , and . ICMLSC, page 203-205. ACM, (2019)A comparative study of the wavenet PID controllers for applications in non-linear systems., , , , , , and . CCE, page 1-6. IEEE, (2015)Modelado difuso Takagi-Sugeno para sintonizar un controlador de calefacción en invernaderos., , , , and . Res. Comput. Sci., (2015)A fuzzy parametric approach for the model-based diagnosis., , and . ICINCO-ICSO, page 25-31. INSTICC Press, (2007)978-972-8865-82-5.