Trends and future perspectives of electronic throttle control system in a spark ignition engine
Electronic throttle control (ETC) system has turned into an extremely prominent system with
a specific end goal to vary the intake airflow rate to provide a better fuel economy …
a specific end goal to vary the intake airflow rate to provide a better fuel economy …
Continuous fast nonsingular terminal sliding mode control of automotive electronic throttle systems using finite-time exact observer
The control of automobile electronic throttle (AET) systems is a challenging task owing to
multiple nonlinearities, ie, transmission friction, gear backlash, limp-home spring set, and …
multiple nonlinearities, ie, transmission friction, gear backlash, limp-home spring set, and …
Robust tracking control for vehicle electronic throttle using adaptive dynamic sliding mode and extended state observer
This article proposes an extended state observer (ESO)-based robust adaptive dynamic
sliding mode (ADSM) tracking control for an automobile engine electronic throttle (EET) …
sliding mode (ADSM) tracking control for an automobile engine electronic throttle (EET) …
Hardware implementation of radial-basis neural networks with Gaussian activation functions on FPGA
This article introduces a method for realizing the Gaussian activation function of radial-basis
(RBF) neural networks with their hardware implementation on field-programmable gaits area …
(RBF) neural networks with their hardware implementation on field-programmable gaits area …
Adaptive integral terminal sliding mode control for automobile electronic throttle via an uncertainty observer and experimental validation
A robust adaptive integral terminal sliding mode (AITSM) control scheme with an uncertainty
observer (UO) is developed for automobile electronic throttle (AET) systems. Distinguished …
observer (UO) is developed for automobile electronic throttle (AET) systems. Distinguished …
Extended-state-observer-based double-loop integral sliding-mode control of electronic throttle valve
An extended-state-observer-based double-loop integral sliding-mode controller for
electronic throttle (ET) is proposed by factoring the gear backlash torque and external …
electronic throttle (ET) is proposed by factoring the gear backlash torque and external …
An adaptive servo control strategy for automotive electronic throttle and experimental validation
X Jiao, J Zhang, T Shen - IEEE Transactions on Industrial …, 2014 - ieeexplore.ieee.org
In order to achieve higher precise positioning of the throttle plate, an adaptive servo control
strategy is presented for the electronic throttle control system. Compared with the existing …
strategy is presented for the electronic throttle control system. Compared with the existing …
Adaptive NN control for nonlinear systems with uncertainty based on dynamic surface control
Z Zhou, D Tong, Q Chen, W Zhou, Y Xu - Neurocomputing, 2021 - Elsevier
The problem of adaptive neural network (NN) control and the dynamic surface control (DSC)
method for a series of nonlinear systems with uncertainty is discussed in this paper …
method for a series of nonlinear systems with uncertainty is discussed in this paper …
A fuzzy approach for optimal robust control design of an automotive electronic throttle system
H Sun, H Zhao, K Huang, M Qiu… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we propose a fuzzy approach for optimal robust control design of an
automotive electronic throttle (ET) system. Compared with the conventional ET control …
automotive electronic throttle (ET) system. Compared with the conventional ET control …
Data-driven predictive control of molten iron quality in blast furnace ironmaking using multi-output LS-SVR based inverse system identification
P Zhou, D Guo, T Chai - Neurocomputing, 2018 - Elsevier
Control of blast furnace (BF) ironmaking process has always been a hot and difficult issue in
metallurgic engineering and automation. In this paper, a novel data-driven inverse system …
metallurgic engineering and automation. In this paper, a novel data-driven inverse system …