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Yong-Hong Lan, Jun-Jun Xia and Yue-Xiang Shi
In this paper, a robust guaranteed-cost preview repetitive controller is proposed for a class of polytopic uncertain discrete-time systems. In order to improve the tracking performance, a repetitive controller, combined with preview compensator, is inser...
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Abdulaziz Alfadhli, Jocelyn Darling and Andrew J. Hillis
Active seat suspensions can be used to reduce the harmful vertical vibration of a vehicle?s seat by applying an external force using a closed loop controller. Many of the controllers found in the literature are difficult to implement practically, because...
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Hongzhen Hu, Shaoyi Bei, Qixian Zhao, Xiao Han, Dan Zhou, Xinye Zhou and Bo Li
The preview model is one of the common methods used in trajectory tracking. The traditional fixed preview time is not adaptable to most speeds and road conditions, which not only reduces the tracking accuracy but also reduces the vehicle stability. There...
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Haojun Wen, Xiaodong Ma, Chenjian Qin, Hao Chen and Huanyu Kang
The high clearance spray is a type of large and efficient agricultural machinery used for plant protection, and path tracking control is the key to ensure the efficient and safe operation of spray. Sliding mode control and other methods are commonly used...
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Xiqing Zhang, Jin Li, Zhiguang Ma, Dianmin Chen and Xiaoxu Zhou
The tracking accuracy and vehicle stability of self-driving trajectory tracking are particularly important. Due to the influence of high-frequency oscillation near the sliding mode surface and the modeling error of the single-point preview model itself w...
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He Liu, Conghao Liu, Liang Hao and Dongmin Zhang
To enhance the control accuracy of lane-keeping assistance systems for trucks encountering crosswind-induced lateral deviations to improve the lateral stability of the vehicle, this study proposes a control strategy based on a linear quadratic regulator ...
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Jonas Mirwald, Johannes Ultsch, Ricardo de Castro and Jonathan Brembeck
Traffic congestion and the occurrence of traffic accidents are problems that can be mitigated by applying cooperative adaptive cruise control (CACC). In this work, we used deep reinforcement learning for CACC and assessed its potential to outperform mode...
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