Abstract
This paper proposes a self-evolving Takagi-Sugeno fuzzy controller for nonlinear systems with uncertainties. The self-evolving framework is used to add and prune fuzzy rules in an online manner. Our proposed nonlinear controller is model-free and does not depend on the plant dynamics. All adjustable fuzzy parameters are tuned using a sliding surface, which is derived from the gradient descent learning method to minimize the error between the desired and the actual signals. Unlike most of the existing self-evolving controllers, where a hybrid technique is required to determine the control action, our proposed algorithm is able to construct the final control signal, which can be fed directly to control a nonlinear system. The tracking performance of our proposed controller is validated and compared with an adaptive model-based fuzzy controller in the presence of external disturbances, where better tracking results are obtained from our proposed controller.
| Original language | English |
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| Title of host publication | 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) |
| Editors | Giovanna Castellano, Ciro Castiello, Corrado Mencar |
| Place of Publication | United States |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Number of pages | 6 |
| ISBN (Electronic) | 9781728143842, 9781728143835 (USB) |
| ISBN (Print) | 9781728143859 (Print on demand) |
| DOIs | |
| Publication status | Published - 23 Jun 2020 |
| Event | 12th IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020 - Fully online, Bari, Italy Duration: 27 May 2020 → 29 May 2020 https://sites.google.com/view/eais2020 (Conference website) https://docs.google.com/spreadsheets/d/e/2PACX-1vTN4qEcKC_7TgUc_XeNsYV-Os92T74PYZ06a9-VJyPoZP5sSU1Lp43xyScobNjHEKZvlV1Adh7NEvhp/pubhtml?gid=590512820&single=true (Program) |
Publication series
| Name | IEEE Conference on Evolving and Adaptive Intelligent Systems |
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| Volume | 2020-May |
| ISSN (Print) | 2330-4863 |
| ISSN (Electronic) | 2473-4691 |
Conference
| Conference | 12th IEEE International Conference on Evolving and Adaptive Intelligent Systems, EAIS 2020 |
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| Country/Territory | Italy |
| City | Bari |
| Period | 27/05/20 → 29/05/20 |
| Other | The 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems (IEEE EAIS2020) will provide a working and friendly atmosphere and will be a leading international forum focusing on the discussion of recent advances, the exchange of recent innovations and the outline of open important future challenges in the area of Evolving and Adaptive Intelligent Systems. Over the past decade, this area has emerged to play an important role on a broad international level in today's real-world applications, especially ones with high complexity and dynamics change. Its embedded modeling and learning methodologies are able to cope with real-time demands, changing operation conditions, varying environmental influences, human behaviors, knowledge expansion scenarios and drifts in online data streams. IEEE EAIS2020 is co-sponsored by the IEEE SMC Society and the IEEE Computational Intelligence Society. |
| Internet address |