2014 11th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technolo 2014
DOI: 10.1109/ecticon.2014.6839710
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Self-balancing iBOT-like wheelchair based on type-1 and interval type-2 fuzzy control

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Cited by 10 publications
(10 citation statements)
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“…Therefore, an in-depth analysis of stair-climbing mechanisms is provided for EPW-SC prototypes and commercial products. 20 (b) Three wheels on a wheel cluster. 21 (c) Four wheels on a wheel cluster.…”
Section: Development History and Classification Of Epw-scsmentioning
confidence: 99%
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“…Therefore, an in-depth analysis of stair-climbing mechanisms is provided for EPW-SC prototypes and commercial products. 20 (b) Three wheels on a wheel cluster. 21 (c) Four wheels on a wheel cluster.…”
Section: Development History and Classification Of Epw-scsmentioning
confidence: 99%
“…(a) Two wheels on a wheel cluster. 20 (b) Three wheels on a wheel cluster. 21 (c) Four wheels on a wheel cluster.…”
Section: Development History and Classification Of Epw-scsmentioning
confidence: 99%
See 2 more Smart Citations
“…Compared to other controllers, linear quadratic regulator (LQR) [27] as well as proportional integral derivative (PID) [28] were the most commonly adopted controllers in balancing two-wheeled wheelchairs with a transformation mechanism. Whereas, some have adopted the applications of intelligent control algorithms, like fuzzy logic and neural network, in achieving system's stability-fuzzy logic type-1 has often been the basic fuzzy logic system found within other published research [29], [30]. Fuzzy logic is well-suited for approximating the nonlinearities [31].…”
Section: Introductionmentioning
confidence: 99%