Third International Conference on Computational Intelligence and Information Technology (CIIT 2013) 2013
DOI: 10.1049/cp.2013.2644
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Nonlinear backstepping control for a light weighted all electric vehicle

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Cited by 5 publications
(3 citation statements)
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“…In (5), this effect of time‐delay is gauged in the second state variable (x2) which is directly related to the propulsion system through acceleration or deceleration [5]. Now, the non‐linear time‐delay EV system can be rewritten as [24, 25]:Xfalse(tfalse)=thickmathspace[1em4ptifalse(tfalse)ωfalse(tfalse)]=[1em4ptx1false(tfalse)x2false(tτfalse)]right leftthickmathspace.5emf(x)=[(1La+Lfield)×{(Ra+Rf)x1Lafx1x2(tτ)}(1J+m((r/G))2)×{Lafx12Bx2(tτ)(rG)×(μrrmg+12ρACnormald(rG)2x2false(tτfalse)2+mgsinφ)}…”
Section: Model Of Evsmentioning
confidence: 99%
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“…In (5), this effect of time‐delay is gauged in the second state variable (x2) which is directly related to the propulsion system through acceleration or deceleration [5]. Now, the non‐linear time‐delay EV system can be rewritten as [24, 25]:Xfalse(tfalse)=thickmathspace[1em4ptifalse(tfalse)ωfalse(tfalse)]=[1em4ptx1false(tfalse)x2false(tτfalse)]right leftthickmathspace.5emf(x)=[(1La+Lfield)×{(Ra+Rf)x1Lafx1x2(tτ)}(1J+m((r/G))2)×{Lafx12Bx2(tτ)(rG)×(μrrmg+12ρACnormald(rG)2x2false(tτfalse)2+mgsinφ)}…”
Section: Model Of Evsmentioning
confidence: 99%
“…The BSA utilises the bold-italicXnormalold vector for updating the historical population at the beginning of each iterate. Initialisation of this vector is performed similar to that of X and its updating is then performed through the following ‘If‐Then’ rule [25]:IfthinmathspaceU1false(false)<U2false(false)thinmathspaceThenthinmathspacebold-italicXnormalold:=X where, := is the operation applied to update the process of bold-italicXnormalold. This means that the BSA has a memory in which the unchanged population of the earlier generation is maintained until it is altered.…”
Section: Modified Backtracking Search Algorithmmentioning
confidence: 99%
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