ACP-Incorporated Perturbation-Resistant Neural Dynamics Controller for Autonomous Vehicles
文献类型:期刊论文
作者 | Liufu, Ying1; Jin, Long1; Shang, Mingsheng2; Wang, Xingxia3,4; Wang, Fei-Yue3,5![]() |
刊名 | IEEE TRANSACTIONS ON INTELLIGENT VEHICLES
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出版日期 | 2024-04-01 |
卷号 | 9期号:4页码:4675-4686 |
关键词 | Autonomous vehicles Vehicle dynamics Kinematics Task analysis Control systems Robustness Predictive control Model predictive control (MPC) neural dynamics autonomous vehicles artificial systems computational experiments and parallel execution (ACP) |
ISSN号 | 2379-8858 |
DOI | 10.1109/TIV.2023.3348632 |
通讯作者 | Jin, Long(jinlong@lzu.edu.cn) ; Wang, Fei-Yue(feiyue.wang@ia.ac.cn) |
英文摘要 | Autonomous vehicle control systems are unavoidably influenced by diverse noise perturbations from the unpredictable external environment and internal system. In this consideration, based on the model predictive control (MPC) strategy, a perturbation-resistant neural dynamics (PRND) controller equipped with the noise-suppression ability for the path-tracking control of autonomous vehicles is newly designed in this paper, under the framework of artificial systems, computational experiments, and parallel execution (ACP). In addition, theoretical analyses show that the proposed ACP-incorporated PRND controller can behave with exponential convergence and strong robustness under different noise scenarios. Lastly, computational experiments are conducted and parallelly executed on the CarSim-Simulink platform and E-Car physical platform to demonstrate the effectiveness and superiority of the proposed controller. Overall, this paper provides a new perspective for designing neural-dynamics-based controllers for autonomous vehicles, thereby guaranteeing reliable control performance and effectively resisting noise perturbations. |
WOS关键词 | DESIGN ; SYSTEM |
资助项目 | National Natural Science Foundation of China |
WOS研究方向 | Computer Science ; Engineering ; Transportation |
语种 | 英语 |
WOS记录号 | WOS:001250038700015 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | National Natural Science Foundation of China |
源URL | [http://ir.ia.ac.cn/handle/173211/59142] ![]() |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
通讯作者 | Jin, Long; Wang, Fei-Yue |
作者单位 | 1.Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing Key Lab Big Data & Intelligent Comp, Chongqing 400714, Peoples R China 3.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 5.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100098, Peoples R China |
推荐引用方式 GB/T 7714 | Liufu, Ying,Jin, Long,Shang, Mingsheng,et al. ACP-Incorporated Perturbation-Resistant Neural Dynamics Controller for Autonomous Vehicles[J]. IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,2024,9(4):4675-4686. |
APA | Liufu, Ying,Jin, Long,Shang, Mingsheng,Wang, Xingxia,&Wang, Fei-Yue.(2024).ACP-Incorporated Perturbation-Resistant Neural Dynamics Controller for Autonomous Vehicles.IEEE TRANSACTIONS ON INTELLIGENT VEHICLES,9(4),4675-4686. |
MLA | Liufu, Ying,et al."ACP-Incorporated Perturbation-Resistant Neural Dynamics Controller for Autonomous Vehicles".IEEE TRANSACTIONS ON INTELLIGENT VEHICLES 9.4(2024):4675-4686. |
入库方式: OAI收割
来源:自动化研究所
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