Observer Design for TS Fuzzy Systems
In order to understand how a system works, one needs to have information on certain important quantities associated with the system. Many problems in decision making, monitoring, and control require the knowledge of the variables, i.e., states and parameters of the system involved. In practical situations, measuring all these variables may not be possible due to technical or economical reasons. Therefore, the estimation of states and parameters in dynamic systems is an important prerequisite for safe and economical operation. Hence, estimation is an integral part in applications such as process monitoring, fault detection, and process optimization. Moreover, any state feedback control design requires the knowledge of state variables.
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© 2010 Springer-Verlag Berlin Heidelberg
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Lendek, Z., Guerra, T.M., Babuška, R., De Schutter, B. (2010). Introduction. In: Stability Analysis and Nonlinear Observer Design Using Takagi-Sugeno Fuzzy Models. Studies in Fuzziness and Soft Computing, vol 262. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16776-8_1
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DOI: https://doi.org/10.1007/978-3-642-16776-8_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16775-1
Online ISBN: 978-3-642-16776-8
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