2012 IEEE International Conference on Control Applications 2012
DOI: 10.1109/cca.2012.6402723
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Real-time allocation of tire adhesion forces for electric vehicles

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Cited by 4 publications
(7 citation statements)
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“…The parametrization of the maneuver scenario is taken from [1] The subgradient method is used with the step size α = 0.1/ √ k, and 20 alternating projection iterations. We applied same initial conditions for subgradient method as in [6]. The triggering parameters are set to β 1 = 0.3, and β 2 = 0.0002 for tunning the broadcasting condition of η i , F ix and F iy .…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…The parametrization of the maneuver scenario is taken from [1] The subgradient method is used with the step size α = 0.1/ √ k, and 20 alternating projection iterations. We applied same initial conditions for subgradient method as in [6]. The triggering parameters are set to β 1 = 0.3, and β 2 = 0.0002 for tunning the broadcasting condition of η i , F ix and F iy .…”
Section: Simulation Resultsmentioning
confidence: 99%
“…As already stated, this work presents an extension to the authors' previous work [6], where a fully distributed computational algorithm for optimal allocation of tire forces to minimize the maximal adhesion utilization of vehicle tires. In this section, we first review the problem formulation and its decomposition, and then introduce the event-triggered layer into the feedforward control scheme.…”
Section: Problem Formulationmentioning
confidence: 90%
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