Soft computing-based fuzzy integral sliding mode control: a real-time investigation on a conical tank process
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-020-04729-7.pdf
Reference19 articles.
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2. Balamurugan S, Venkatesh P, Varatharajan M (2017) Fuzzy sliding-mode control with low pass filter to reduce chattering effect: an experimental validation on Quanser SRIP. Indian Acad Sci 42(10):1693–1703. https://doi.org/10.1007/s12046-017-0722-9
3. Bartolini G, Pisano A, Punta E, Usai E (2003) A survey of applications of second-order sliding mode control to mechanical systems. Int J Control 76(9):875–892. https://doi.org/10.1080/0020717031000099010
4. Bhuvaneswari NS, Uma G, Rangaswamy TR (2008) Neuro based model reference adaptive control of a conical tank level process. Control Intell Syst. https://doi.org/10.2316/journal.201.2008.1.201-1895
5. Bhuvaneswari NS, Uma G, Rangaswamy TR (2009) Adaptive and optimal control of a non-linear process using intelligent controllers. Appl Soft Comput 9(1):182–190. https://doi.org/10.1016/j.asoc.2008.04.003
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