2016
DOI: 10.7603/s40632-016-0018-y
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Adaptive fuzzy sliding mode controller for wheel slip control in antilock braking system

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Cited by 16 publications
(17 citation statements)
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“…A water binder ratio of 0.48 and 0.5 is experimented, and strength for lower water binder ratio is higher. The compressive strength result shows the 60% weight of Msand replacement behaviour is the best and in splitting tensile strength 40% of Msand replacement shows a better outcome in concrete matrix (17) . Msand in 15% replacement gives a higher strength values than the other replacement at compressive and split experiment after 28 days curing (18) .…”
Section: Comprehensive Literaturementioning
confidence: 94%
“…A water binder ratio of 0.48 and 0.5 is experimented, and strength for lower water binder ratio is higher. The compressive strength result shows the 60% weight of Msand replacement behaviour is the best and in splitting tensile strength 40% of Msand replacement shows a better outcome in concrete matrix (17) . Msand in 15% replacement gives a higher strength values than the other replacement at compressive and split experiment after 28 days curing (18) .…”
Section: Comprehensive Literaturementioning
confidence: 94%
“…In Reference , a fuzzy sliding mode optimized by a GA is presented, in which the GA is applied to determine optimal values of the parameters required for the fuzzy sliding controller. In Reference , a fuzzy logic is employed with sliding mode controller to deal with uncertainties. Hence, a fuzzy sliding mode controller for the antilock braking system (ABS) model is proposed.…”
Section: Comparison Between Apidfsmc‐ga Controller and The Previous Workmentioning
confidence: 99%
“…To compare and asses the control behavior of our proposed control scheme (APIDFSMC‐GA) with the above controllers, numerical simulations are carried out for set‐point tracking control problem of the armature‐controlled DC motor in which the reference (desired) system response is set as y d = 500 rpm. Figure shows the DC motor speed response profile for different control strategies (our presented algorithm APIDFSMC‐GA, presented algorithms in References ).…”
Section: Comparison Between Apidfsmc‐ga Controller and The Previous Workmentioning
confidence: 99%
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