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Emerging Areas in Intelligent Fuzzy Control and Future Research Scopes

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Intelligent Control

Part of the book series: Cognitive Intelligence and Robotics ((CIR))

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Abstract

In this book, a detailed description has been carried out for a particular class of nonlinear systems, as mentioned in Chap. 3 [1,2,3,4]. However, the presented hybrid stable adaptive fuzzy control methodologies can be potentially applied to other classes of the system as well. In this book, the hybrid design methodologies utilize the Lyapunov theory -based adaptation, as presented in Chap. 3 [5], and H∞-based robust adaptation, as presented in Chap. 6 [6]. Other formulations of the adaptive control strategy [7,8,9,10,11] may also be utilized to design the adaptive fuzzy controllers using the presented hybrid strategies, and their relative performance evaluations may be evaluated in future.

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Authors and Affiliations

  1. Department of Applied Physics, University of Calcutta, Kolkata, West Bengal, India

    Kaushik Das Sharma

  2. Department of Electrical Engineering, Jadavpur University, Kolkata, West Bengal, India

    Amitava Chatterjee & Anjan Rakshit

Authors
  1. Kaushik Das Sharma
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  2. Amitava Chatterjee
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  3. Anjan Rakshit
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Correspondence to Kaushik Das Sharma .

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Das Sharma, K., Chatterjee, A., Rakshit, A. (2018). Emerging Areas in Intelligent Fuzzy Control and Future Research Scopes. In: Intelligent Control . Cognitive Intelligence and Robotics. Springer, Singapore. https://doi.org/10.1007/978-981-13-1298-4_11

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  • DOI: https://doi.org/10.1007/978-981-13-1298-4_11

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  • Online ISBN: 978-981-13-1298-4

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