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A Survey on Analysis and Design of Model-Based Fuzzy Control Systems
Abstract
Fuzzy logic control was originally introduced and developed as a model free control design approach. However, it unfortunately suffers from criticism of lacking of systematic stability analysis and controller design though it has a great success in industry applications. In the past ten years or so, prevailing research efforts on fuzzy logic control have been devoted to model-based fuzzy control systems that guarantee not only stability but also performance of closed-loop fuzzy control systems. This paper presents a survey on recent developments (or state of the art) of analysis and design of model based fuzzy control systems. Attention will be focused on stability analysis and controller design based on the so-called Takagi–Sugeno fuzzy models or fuzzy dynamic models. Perspectives of model based fuzzy control in future are also discussed.
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Cited by
Wu, L., Su, X., Shi, P., & Qiu, J. (2011) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2010.2051541 · Cited by 420
Qiu, J., Ding, S. X., Gao, H., & Yin, S. (2016) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2015.2457934 · Cited by 382
Robust Adaptive Sliding-Mode Control for Fuzzy Systems With Mismatched Uncertainties
Zhang, J., Shi, P., & Xia, Y. (2010) · IEEE Transactions on Fuzzy Systems · doi:10.1109/tfuzz.2010.2047506 · Cited by 304
Wai, R.-J., & Muthusamy, R. (2013) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2012.2228230 · Cited by 188
Afridi, Y. S., Ahmad, K., & Hassan, L. (2022) · International Journal of Energy Research · doi:10.1002/er.7100 · Cited by 140
Metadata
- Authors
- Feng, G.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 2006-10
- Volume
- 14
- Issue
- 5
- Pages
- 676-697
- ISSN
- 1063-6706 (ISSN-L)
- OpenAlex
- W2148885430
- Cited by
- 1,671
- References
- 0
- FWCI
- 70.04
- Type
- journal article
- Language
- en
- Open access
- closed
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