Fault-Tolerant Control Using Optimized Neurons in Feed-Forward Backpropagation Neural Network-For MIMO Uncertain System: A Metaheuristic Approach-Reference-Cited by-同舟云学术

Fault-Tolerant Control Using Optimized Neurons in Feed-Forward Backpropagation Neural Network-For MIMO Uncertain System: A Metaheuristic Approach

Published:2023 Issue: Volume: Page:597-609
ISSN:2367-3370
Container-title:Lecture Notes in Networks and Systems
language:
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Author:

Raval Sejal,Patel Himanshukumar R.^ORCID,Shah Vipul,Rathore Umesh C.,Kotak Paresh P.

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-39774-5_66

Reference25 articles.

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2. Himanshukumar, R.P., Vipul, A.S.: A framework for fault-tolerant control for an interacting and non-interacting level control system using AI. In: Proceedings of the 15th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2018), vol. 1, pp. 180–190. Springer, Cham (2018). https://doi.org/10.5220/0006862001800190

3. Himanshukumar, R.P., Vipul, A.S.: A passive fault-tolerant control strategy for a non-linear system: an application to the two tank conical non-interacting level control system. Maskay 9(01), 1–8 (2019). https://doi.org/10.24133/maskay.v9i1.1094

4. Himanshukumar, R.P., Vipul A.S.: Fuzzy logic based passive fault tolerant control strategy for a single-tank system with system fault and process disturbances. In: 2018 5th International Conference on Electrical and Electronic Engineering (ICEEE), pp. 257–262 (2018). https://doi.org/10.1109/ICEEE2.2018.8391342

5. Himanshukumar, R.P., Vipul, A.S.: Performance comparison of passive fault tolerant control strategy with PI and fuzzy control of single-tank level process with sensor and system fault. Am. J. Eng. Appl. Sci. 12(02), 236–246 (2019). https://doi.org/10.3844/ajeassp.2019.236.246

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