VHDL-AMS based genetic optimization of a fuzzy logic controller for automotive active suspension systems

Wang, L.; Kázmierski, Tom J.

doi:10.1109/bmas.2005.1518199

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…In [11] a methodology for VHDL-AMS based specification, design and verification of an automotive Smart Power IC is presented. In [12] the same language is used for modeling, simulating and optimizing a fuzzy logic controller for an active suspension system. In [?…”

Section: Vhdl-ams: a Multidisciplinary Language For Multi-resolution mentioning

confidence: 99%

An Automotive CD-Player Electro-Mechanics Fault Simulation Using VHDL-AMS

Graziano

Roch

2008

J Electron Test

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One of the most challenging tasks while designing an automotive electronic device is to take into account its whole electro-mechanic environment, so that time expensive failure tests can be reduced. We show a case study, developed in collaboration with an industrial partner, in which an automotive Compact Disk (CD) player is modelled. Using VHDL-AMS, not only its whole mixed-signal electro-mechanic structure, but the car one, the road profile and the audio input have been described as well. A set of fault analyses have been performed, too, using the developed model. Results demonstrate the feasibility of the methodology both as a substitute of traditional fault analyses, and as a method to inspect the failure causes. Besides, this approach allows to hilight, during the design phase, the key points to optimize the target device, taking into account its real application environment. As an example, our system is able to reliably predict reading errors due to road profile variations.

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Section: Vhdl-ams: a Multidisciplinary Language For Multi-resolution mentioning

confidence: 99%

An Automotive CD-Player Electro-Mechanics Fault Simulation Using VHDL-AMS

Graziano

Roch

2008

J Electron Test

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“…This time limit has been previously used in the literature for GAs [18,19], and it is a common time barrier used in many programs implemented by important companies, like Microsoft [20], Apple [21] , Apache [22] , etc.…”

Section: Ga Operator Descriptionmentioning

confidence: 99%

Fast Feature Selection in a GPU Cluster Using the Delta Test

Guillén

Arenas

Heeswijk

et al. 2014

Entropy

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Feature or variable selection still remains an unsolved problem, due to the infeasible evaluation of all the solution space. Several algorithms based on heuristics have been proposed so far with successful results. However, these algorithms were not designed for considering very large datasets, making their execution impossible, due to the memory and time limitations. This paper presents an implementation of a genetic algorithm that has been parallelized using the classical island approach, but also considering graphic processing units to speed up the computation of the fitness function. Special attention has been paid to the population evaluation, as well as to the migration operator in the parallel genetic algorithm (GA), which is not usually considered too significant; although, as the experiments will show, it is crucial in order to obtain robust results.

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GA-optimized FLC-driven semi-active control for phase-II smart nonlinear base-isolated benchmark building

Ali

Ramaswamy

2008

Struct. Control Health Monit.

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VHDL-AMS based genetic optimization of a fuzzy logic controller for automotive active suspension systems

Cited by 4 publications

References 17 publications

An Automotive CD-Player Electro-Mechanics Fault Simulation Using VHDL-AMS

An Automotive CD-Player Electro-Mechanics Fault Simulation Using VHDL-AMS

Fast Feature Selection in a GPU Cluster Using the Delta Test

GA-optimized FLC-driven semi-active control for phase-II smart nonlinear base-isolated benchmark building

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