Article
Engineering, Civil
Yiming Zhang, Zhizhou Wu, Yu Zhang, Zhiying Shang, Ping Wang, Qingquan Zou, Xianhong Zhang, Jia Hu
Summary: In this study, a Human-Lead-Platoon CACC (HLP-CACC) controller is proposed to include human drivers in the platooning process of connected and automated vehicles. The controller regulates both longitudinal and lateral control, making the followers in an HLP-CACC platoon fully autonomous. The proposed algorithm is validated through simulation tests and field tests, and it shows promising results.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Chemistry, Analytical
Xuehong Tian, Xin Huang, Haitao Liu, Qingqun Mai
Summary: This paper proposes a predefined-time adaptive fuzzy cooperative controller with event triggering for multi-robot systems. It takes into account external disturbances, input saturation, and model uncertainties. The controller achieves quick response and precise convergence by using a predefined-time controller based on the asymmetric tan-type barrier Lyapunov function. It also approximates external disturbances and model uncertainties using predefined-time fuzzy logic systems. The communication resources of the robots are saved through an improved dynamic relative threshold event-triggered mechanism.
Article
Engineering, Civil
Jiawei Wang, Fangwu Ma, Yu Yang, Jiahong Nie, Bilin Aksun-Guvenc, Levent Guvenc
Summary: This study focuses on the event-triggered vehicular platoon control with communication time delay and package dropout to balance communication utilization and vehicle following performance. A disturbance based platoon model is established and the criterion for co-designing the event-trigger parameters and CACC controller parameters is derived. An adaptive event-triggered threshold is designed for varying failure probability to achieve a superior trade-off between communication resource utilization and following performance. The effectiveness of the proposed strategy is verified through numerical simulations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Mechanical
Jonas Mirwald, Johannes Ultsch, Ricardo de Castro, Jonathan Brembeck
Summary: This work utilized deep reinforcement learning for implementing CACC, examining the trade-off between minimizing distance error and energy consumption while ensuring operational safety, as well as the robustness against burst errors in communication. The trained controllers showed a significant reduction in average energy consumption compared to the model-based controller.
Article
Mathematics, Interdisciplinary Applications
Hang Su, Bin Cheng, Zhongkui Li
Summary: This paper investigates the cooperative output regulation problem of heterogeneous linear multi-agent systems over directed graphs with the constraint of communication bandwidth. The authors develop distributed adaptive event-triggered observers based on relative information between neighboring agents, introducing time-varying gains and dynamic triggering conditions to avoid relying on global information and continuous communications. On this basis, a local controller is devised for each agent. Compared with existing works, this paper solves the cooperative output regulation problem for general directed graphs without requiring global information or continuous communications.
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
(2023)
Article
Computer Science, Information Systems
Guibing Zhu, Yongchao Liu
Summary: This paper solves the dynamic event-triggered control issue for multi-input and multi-output (MIMO) nonlinear systems with unknown dynamics and disturbances. It is the first attempt to design a dynamic event-triggered mechanism for MIMO systems, which can reduce data transmission from controller to actuator, resulting in fewer events. The unknown dynamics of MIMO systems are approximated by neural networks, and the composited uncertain vector is transformed into a linear parameterized form. The dynamic event-triggered adaptive control method is designed under the backstepping framework, and the validity of the solution is verified through simulation and comparison analysis.
INFORMATION SCIENCES
(2023)
Article
Automation & Control Systems
Ge Song, Peng Shi, Ramesh K. Agarwal
Summary: This article addresses the problem of event-triggered-based fixed-time sliding mode cooperative control for leader-follower multiagent networks with bounded perturbation. A terminal integral sliding mode manifold with fast convergent speed is designed, and a distributed consensus tracking control strategy based on event-triggered and sliding mode control is developed to guarantee consensus within a fixed time. The proposed event-triggered control algorithm reduces the update frequency of control law and eliminates Zeno behavior, as demonstrated through simulation examples.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Automation & Control Systems
Mohamed Abbas, Santosha K. Dwivedy
Summary: This paper proposes an adaptive control strategy for cooperative manipulation by multiple uncertain manipulators. The approach incorporates admittance models and adaptive backstepping control to handle environmental forces and dynamic uncertainties. An event-triggered mechanism is designed to alleviate communication burden and ensure stability.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2022)
Article
Engineering, Civil
Yi Liu, Wei Wang, De Zhao
Summary: This paper investigates the feasibility of using a VAL-CACC strategy to support car platooning in freeway weaving segments, and through simulation experiments it demonstrates the strategy's strong resistance to deceleration and acceleration disturbances.
TRANSPORTATION RESEARCH RECORD
(2022)
Article
Automation & Control Systems
Yang-Yang Qian, Lu Liu, Gang Feng
Summary: This study investigates the cooperative output regulation problem for heterogeneous linear multiagent systems using event-triggered control strategy, achieving collaborative work among agents in a fully distributed manner.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2021)
Article
Automation & Control Systems
Ruidong Yan, Rui Jiang, Bin Jia, Jin Huang, Diange Yang
Summary: A hybrid car-following strategy based on DDPG and CACC is proposed in this study to address the performance issues of DDPG in car-following, while maintaining the basic performance of CACC and utilizing the exploration advantages of DDPG on complex environments. Simulation results demonstrate an improvement in the car-following performance compared to DDPG and CACC.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Civil
Zheng Chen, Byungkyu Brian Park
Summary: In this paper, a CACC algorithm with unconnected vehicles (CACCu) is proposed to improve the usability of CACC in mixed traffic. By utilizing the information from a connected preceding vehicle, CACCu can closely follow an unconnected preceding vehicle. The algorithm maintains string stability and outperforms existing ACC and CCC in terms of string stability, ride comfort, safety maintenance, and fuel consumption.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Marine
Guoqing Zhang, Mingqi Yao, Wenjun Zhang, Weidong Zhang
Summary: This paper proposes a novel event-triggered cooperative dynamic positioning control algorithm for multiple marine surface ships in the presence of actuator faults, successfully relaxing the assumption that leader information can be available to all followers and avoiding unnecessary information transmission through the event-triggered mechanism. The algorithm ensures stability through online estimation of fault parameters and the extension of Lyapunov approach.
Article
Engineering, Marine
Yuxin Zheng, Lei Zhang, Bing Huang, Cheng Zhu, Yumin Su
Summary: This article presents a solution to the dynamic event-triggered formation control problem for multiple marine surface vehicles (MSVs) under a unidirectional communication topology, considering model uncertainties and external disturbances. A model-parameter-free control strategy is developed using sliding mode philosophy and adaptive law to compensate for parameter uncertainty and time-varying external disturbances. The proposed control scheme has a relatively simple structure compared to backstepping-based formation control schemes and avoids complexity explosion. A dynamic event-triggered control mechanism is also proposed to reduce communication frequency among vehicles. Theoretical analysis and numerical simulations demonstrate the effectiveness and superiority of the proposed methods.
Article
Automation & Control Systems
Xuechao Qiu, Xiangyu Wang
Summary: This paper focuses on the event-triggered quantized secondary regulation problem for islanded AC microgrids with actuator faults. A distributed secondary regulation strategy is proposed to handle the actuator faults, and a uniform quantizer is introduced for information transmission. An adaptive event-triggered mechanism is designed to save system resources and relieve the communication burden. The strategy is validated using a test system built in MATLAB/SimPowerSystems, indicating increased system reliability and reduced controller update times.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)