首页|Data-Driven Finite-Time Platooning Control for Heterogeneous Nonlinear Vehicle Systems

Data-Driven Finite-Time Platooning Control for Heterogeneous Nonlinear Vehicle Systems

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This letter studies the issue of finite-time model-free adaptive control (FT-MFAC) applied to heterogeneous nonlinear vehicular platooning systems, focusing on a data-driven approach for design and analysis. Initially, the nonlinear vehicular platooning system is transformed into an equivalent data-relationship model through the use of pseudo partial derivatives. Subsequently, an output tuning factor is employed to facilitate the concurrent tracking of both position and velocity. Then, an adaptive controller without introducing additional constraints and shifting functions is developed to ensure model-free and finite-time control of the vehicle platoon. Ultimately, the proposed method’s effectiveness and advantages are validated through theoretical analysis and simulation results.

Mathematical modelsConvergenceAdaptation modelsVehicle dynamicsTuningAdaptive controlTrainingData miningConnected vehiclesArtificial intelligence

Qiaoni Han、Jianguo Ma、Zhiqiang Zuo、Xiaocheng Wang、Xinping Guan

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Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin, China

Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

Department of Automation and the Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, Shanghai, China

2025

IEEE Control Systems Letters

IEEE Control Systems Letters

ISSN:
年,卷(期):2025.9(1)
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