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Adaptive fuzzy predefined-time control for third-order heterogeneous vehicular platoon systems with dead zone
Y Li, Y Zhao, W Liu, J Hu - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
This article investigates the problem of fuzzy adaptive predefined-time terminal sliding mode
(TSM) control for a third-order heterogeneous vehicular platoon system with an unknown …
(TSM) control for a third-order heterogeneous vehicular platoon system with an unknown …
[HTML][HTML] Toward a comfortable driving experience for a self-driving shuttle bus
I Bae, J Moon, J Seo - Electronics, 2019 - mdpi.com
The convergence of mechanical, electrical, and advanced ICT technologies, driven by
artificial intelligence and 5G vehicle-to-everything (5G-V2X) connectivity, will help to develop …
artificial intelligence and 5G vehicle-to-everything (5G-V2X) connectivity, will help to develop …
Path-tracking of autonomous vehicles using a novel adaptive robust exponential-like-sliding-mode fuzzy type-2 neural network controller
Structured and unstructured uncertainties together with external disturbances may pose
considerable challenges in realizing desired path-tacking and lane kee** of autonomous …
considerable challenges in realizing desired path-tacking and lane kee** of autonomous …
Safe and energy-efficient car-following control strategy for intelligent electric vehicles considering regenerative braking
Intelligent electric vehicles (IEVs) have attracted more and more attention benefitting from
the characteristics of high degree of safety and energy efficiency. This paper proposes an …
the characteristics of high degree of safety and energy efficiency. This paper proposes an …
Passive fault-tolerant path following control of autonomous distributed drive electric vehicle considering steering system fault
T Chen, L Chen, X Xu, Y Cai, H Jiang, X Sun - Mechanical Systems and …, 2019 - Elsevier
In the path following process, once vehicle steering system fails, the common path following
control system will not work properly, and even worse, the vehicle will be seriously deviated …
control system will not work properly, and even worse, the vehicle will be seriously deviated …
Robust adaptive learning control of space robot for target capturing using neural network
This article investigates the robust adaptive learning control for space robots with target
capturing. Based on the momentum conservation theory, the impact dynamics is constructed …
capturing. Based on the momentum conservation theory, the impact dynamics is constructed …
Trajectory tracking control of steer-by-wire autonomous ground vehicle considering the complete failure of vehicle steering motor
T Chen, Y Cai, L Chen, X Xu, X Sun - Simulation Modelling Practice and …, 2021 - Elsevier
This paper investigates the trajectory tracking control problem of steer-by-wire autonomous
ground vehicle considering the complete failure of vehicle steering motor. In order to …
ground vehicle considering the complete failure of vehicle steering motor. In order to …
Simultaneous path following and lateral stability control of 4WD-4WS autonomous electric vehicles with actuator saturation
T Chen, L Chen, X Xu, Y Cai, X Sun - Advances in Engineering Software, 2019 - Elsevier
A simultaneous path following and lateral stability control method was presented for four-
wheel independent drive and four-wheel independent steering (4WD-4WS) autonomous …
wheel independent drive and four-wheel independent steering (4WD-4WS) autonomous …
Analysis and design of adaptive cruise control for smart electric vehicle with domain-based poly-service loop delay
Domain-based electronic and electrical (E/E) architectures have been regarded as a
possible upgrade to distributed E/E architectures currently used in electric vehicles. In a …
possible upgrade to distributed E/E architectures currently used in electric vehicles. In a …
[HTML][HTML] An optimization design of adaptive cruise control system based on MPC and ADRC
Z Yang, Z Wang, M Yan - Actuators, 2021 - mdpi.com
In this paper, a novel adaptive cruise control (ACC) algorithm based on model predictive
control (MPC) and active disturbance rejection control (ADRC) is proposed. This paper uses …
control (MPC) and active disturbance rejection control (ADRC) is proposed. This paper uses …