Communication Resource-Efficient Vehicle Platooning Control With Various Spacing Policies

Ge, Xiaohua; Han, Qing‐Long; Zhang, Xianming; Ding, Derui

doi:10.1109/jas.2023.123507

Cited by 28 publications

(2 citation statements)

References 41 publications

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“…Meanwhile, a dynamic event-triggered mechanism (DETM) has been proposed in Reference 32 by introducing an internal dynamic variable that can be considered as a kind of filtered triggering signal, which can significantly reduce the number of triggering events. In addition, several dynamic ETC results for various control systems have been appeared in 37. In Reference 36, a dynamic event-triggered communication scheduling problem for a convoy of autonomous driving vehicle has been investigated, and the designed dynamic event-triggered mechanism enables time-efficient scheduling of inter-vehicle data transmissions. The safety of the system has been achieved by combining event-triggered control and safety critical control design in References 38-40.…”

Section: Introductionmentioning

confidence: 99%

Dynamic event‐triggered prescribed performance control for nonlinear systems with signal temporal logic

Long,

Gao

2024

Intl J Robust & Nonlinear

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This article is concerned with the problem of dynamic event‐triggered prescribed performance control for nonlinear systems under signal temporal logic tasks. By utilizing the method of prescribed performance control, the constrained plant can be transformed into an unconstrained one, and a dynamic event‐triggered feedback control law is generated for the transformed system to ensure that the signal temporal logic specification is satisfied. A dynamic event‐triggered mechanism is designed to guarantee the event‐triggered stability, safety and complex specification. Besides, Zeno phenomenon is definitely avoided. Compared with the continuous‐time feedback controller, the event‐triggered controller has proven to be effective in reducing sensing, communication and computation costs. Finally, two simulations are given to illustrate the effectiveness of theoretical results.

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Section: Introductionmentioning

confidence: 99%

Dynamic event‐triggered prescribed performance control for nonlinear systems with signal temporal logic

Long,

Gao

2024

Intl J Robust & Nonlinear

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“…More efficient vehicles that consume less energy and have a smaller environmental footprint then are possible via optimizing engine and transmission operation, regenerative braking, hybrid and electric vehicle control, and driving style. For example, event-triggered control techniques are employed to achieve communication resource-efficient active suspension control of in-wheel-motor driven electric vehicles [6] and communication resource-efficient platooning control of CAVs [7], [8]. Focusing on vehicle fuel consumption, an eco-route planner that guarantees the minimum fuel consumption and the requested arrival time is developed [9] for heavy duty vehicles.…”

mentioning

confidence: 99%

Editorial: Driving into Future with Reliable, Secure, Efficient and Intelligent MetaVehicles

Han

2023

IEEE/CAA J. Autom. Sinica

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Welcome to the sixth issue of the IEEE/CAA Journal of Automatica Sinica (JAS) in 2023! In the first issue in 2023, I briefly discussed about MetaVehicles, a technological expression of intelligent vehicles, robotics, AI, blockchain, knowledge automation, networking and communication [1]. As the concept of the Metaverse continues to evolve and expand, the range of vehicle entities is diversely enlarged, including passenger vehicles, heavy duty vehicles, rail vehicles, marine vehicles, aerial vehicles, and other types of transportation. The development and use of MetaVehicles are likely to become more sophisticated. Therefore, from a systems and control perspective, new methods of control, estimation and optimization should be developed to achieve the improved vehicular control system stability and reliability in the physical space, guaranteed security in the cyber space, promising efficiency in both communication and control layers, and enhanced intelligence in both control and decision-making processes. Achieving these objectives requires advanced vehicular control and communication systems that can detect and respond to physical faults/failures and cyber threats, optimize control and communication performance, provide comfortable and convenient driving experiences, minimize emissions, and interact with a wide range of other vehicles and infrastructure.At IEEE/CAA JAS, we welcome and value the control, estimation and optimization contributions towards reliable, secure, efficient and intelligent MetaVehicles. In this editorial, I collected twenty articles published in IEEE/CAA JAS in the recent three years, relevant to this important topic. Specifically, I classify them into the following five groups.1) Reliability Under Sensor and Actuator Faults: Sensor faults and actuator faults are common issues that can affect the stability, performance and safety of a vehicle. It is indispensable to address sensor and actuator faults promptly as they can result in a range of issues, such as poor performance, reduced fuel efficiency, and even safety concerns of a vehicle. Regular maintenance and inspection can help to identify and prevent these faults, while advanced diagnostics and control techniques are still demanded to identify and resolve faults quickly and effectively. For example, a distributed set-membership cooperative estimation technique is developed [2] to jointly estimate the lateral dynamical state (i.e., the yaw rate and sideslip angle) of an autonomous ground vehicle when

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Predictor‐based collision‐free and connectivity‐preserving resilient formation control for multi‐agent systems under sensor deception attacks

Yang,

Shu,

Liu

2024

Intl J Robust & Nonlinear

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Malicious attack is a potential threat to collision‐free and connectivity‐preserving formation. In this article, a predictor‐based collision‐free and connectivity‐preserving resilient formation control strategy is proposed for a class of multi‐agent systems under sensor deception attacks. The predictor states are constructed to replace original states in the control strategy, and a novel attack compensator is constructed to suppress sensor deception attacks. Prediction errors, instead of compromised errors, are introduced to update weights of radial basis function neural networks (RBFNNs). To achieve collision avoidance and connectivity preservation, a transformation function in logarithmic form is introduced. To avoid static and dynamic obstacles, an improved artificial potential function (APF) combined with their velocity information is constructed. Furthermore, to solve the local minimum problem in the combining of transformation function and APF, a virtual force is added. Based on the Lyapunov function, all closed‐loop signals are bounded and collision‐free and connectivity‐preserving formation is achieved. The simulation related to a group of quadrotors verifies the effectiveness of the proposed resilient control strategy.

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Communication Resource-Efficient Vehicle Platooning Control With Various Spacing Policies

Cited by 28 publications

References 41 publications

Dynamic event‐triggered prescribed performance control for nonlinear systems with signal temporal logic

Dynamic event‐triggered prescribed performance control for nonlinear systems with signal temporal logic

Editorial: Driving into Future with Reliable, Secure, Efficient and Intelligent MetaVehicles

Predictor‐based collision‐free and connectivity‐preserving resilient formation control for multi‐agent systems under sensor deception attacks

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