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An adaptive sliding mode control based on two neural networks is proposed in this paper for Quadrotor stabilization. This approach presents solutions to conventional control drawbacks as chattering phenomenon and dynamical model imprecision. For that reason two ANN for each quadrotor helicopter subsystem are implemented in the control loop, the first one is(More)
A new adaptive neural control scheme for quadrotor helicopter stabilization at the presence of sinusoidal disturbance is proposed in this paper. The adaptive control classical laws such e-modification presents some limitations in particular when persistent oscillations are presenting in the input. These techniques can create a dilemma between weights(More)
AUTOSAR standard has been introduced by automotive manufacturers, suppliers and tool developers to define an open automotive software architecture. This paper proposes a framework for automotive model-based design by mapping AUTOSAR concepts with a common model-based design of a steering-by-wire system. It explores how AUTOSAR rules and interfaces can be(More)
For hybrid and electric vehicle, high powers are needed for the acceleration, startup and recovery phases. For that, the chosen storage system must insure these high powers. The supercapacitors are powerful storage systems, which can reach more than 4,3kW/kg of specific power, and very high lifetime compared to the other storage components. Until 1957 five(More)
The association of more than one storage system to ensure the supplying of the hybrid and electric vehicle became more and more useful by the cars manufacturers. The asked question in this case is the optimal amount of the deferent energy sources to ensure the mission with the best lifetime. The first parameter witch influence the architecture of the hybrid(More)
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