Abstract
Most real physical systems are nonlinear in nature. Controlling and filtering nonlinear systems are still open problems due to their complexity natures. These problem becomes more complex when the system’s parameters are uncertain. A common approach to designing a controller/filter for an system is to linearize the system about an operating point, and uses linear control theory to design a controller/filter. This approach is successful when the operating point of the system is restricted to a certain region. However, when a wide range operation of the system is required, this method may fail.
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© 2006 Springer
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Assawinchaichote, W., Nguang, S.K., Shi, P. (2006). Introduction. In: Fuzzy Control and Filter Design for Uncertain Fuzzy Systems. Lecture Notes in Control and Information Sciences, vol 347. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-37012-3_1
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DOI: https://doi.org/10.1007/978-3-540-37012-3_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37011-6
Online ISBN: 978-3-540-37012-3
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