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We study in this paper the problem of adaptive trajectory tracking control for a class of nonlinear systems with parametric uncertainties. We propose to use a modular approach: We first design a robust nonlinear state feedback that renders the closed loop input-to-state stable (ISS). Here, the input is considered to be the estimation error of the uncertain parameters, and the state is considered to...
In order to increase the fuel economy and decrease the emissions of hybrid vehicles, firstly a fuzzy logic control system is presented in this paper. In parallel hybrid vehicles, the whole required torque comes from internal combustion engine and motor engine respectively. Based on the desired torque for driving and state of charge, the fuzzy logic control system determines how the power splits between...
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