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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 262))

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Abstract

Many processes change over time or due to the influence of unknown inputs that cannot be measured. In some cases, the change is considerable and may be due to the degradation of parts of the system, actuator faults, or disturbances that should be detected as soon as possible. Therefore, this change has to be considered when designing observers and controllers. In this chapter, methods to design adaptive observers that simultaneously estimate the states and unknown inputs of systems represented by TS fuzzy models are presented.

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© 2010 Springer-Verlag Berlin Heidelberg

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Lendek, Z., Guerra, T.M., Babuška, R., De Schutter, B. (2010). Adaptive Observers for TS Systems. 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_7

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  • DOI: https://doi.org/10.1007/978-3-642-16776-8_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16775-1

  • Online ISBN: 978-3-642-16776-8

  • eBook Packages: EngineeringEngineering (R0)

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