This paper proposes an extreme learning machine (ELM)-based adaptive sliding mode
control strategy for vehicular electronic throttle (VET) systems with parametric uncertainties …

Abstract The Electronic Throttle Valve (ETV) is the core part of automotive engines which are
recently used in control-by-wire cars. The estimation of its states and uncertainty is …

The electronic throttle valve (ETV) system is one of the essential parts of the automobile
because it controls the amount of airflow into the engine's combustion system. In fact, there …

A new 4-D dynamical system with hyperchaos is reported in this work. It is shown that the
proposed nonlinear dynamical system with hyperchaos has no equilibrium point. Hence, the …

In this paper, two PID conventional controllers of an Electronic Throttle Valve (ETV), based
observers, are developed to estimate the opening angle of the electronic throttle, to …

The work, whose purpose lies in tackling the stabilizing control problem for a class of
nonlinear systems possessing of uncertain time delays and input unmodeled dynamics, is …

To further improve the transient and static performance of the practical automotiveelectric
throttle control system against nonlinearity and uncertainty, a prescribedperformance-based …

A compound controller based on the fuzzy Extended State Observer (ESO) and sliding mode
control (SMC) is designed to address the problem of numerous disturbances in the seeker …

In this paper, a sampled-data output feedback controller is proposed for a class of nonlinear
systems with unknown nonlinear dynamics and unknown external disturbance. To estimate …