Artificial Intelligence and Nonlinear Control in Autonomous Vehicles

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".

Deadline for manuscript submissions: 15 April 2026 | Viewed by 22

Special Issue Editor


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Guest Editor
School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Interests: intelligent vehicle; mobile robots
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Special Issue Information

Dear Colleagues,

The rapid development of autonomous vehicles has brought artificial intelligence (AI) and nonlinear control to the forefront of intelligent transportation research. Autonomous driving systems must handle highly dynamic and uncertain environments, where traditional linear approaches often fall short. The integration of AI with advanced nonlinear control methods offers powerful tools to address challenges such as perception, decision-making, motion planning, and robust control under complex driving conditions. This research area has therefore become a cornerstone for achieving safety, efficiency, and reliability in the next generation of mobility systems.

The aim of this Special Issue, “Artificial Intelligence and Nonlinear Control in Autonomous Vehicles”, is to provide a platform for disseminating cutting-edge research and comprehensive reviews on the synergy between AI techniques and nonlinear control theory, with direct applications to autonomous driving. The topic aligns closely with the scope of the journal, as it bridges advanced control strategies, intelligent algorithms, and real-world applications in transportation and robotics.

We invite contributions that explore, but are not limited to, the following themes:

  • AI-based modeling, prediction, and decision-making for autonomous vehicles;
  • Nonlinear control methods for motion planning, trajectory tracking, and stability;
  • Cooperative and networked control of connected autonomous vehicles;
  • Robust and adaptive control under uncertainties and disturbances;
  • Machine learning and reinforcement learning in vehicle dynamics and control;
  • Human–machine interaction and shared autonomy strategies;
  • Experimental validation and real-world deployment of AI-driven control systems.

In this Special Issue, both original research articles and review papers are welcome. We look forward to receiving your valuable contributions.

Prof. Dr. Zhongchao Liang
Guest Editor

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Keywords

  • autonomous vehicles
  • artificial intelligence
  • nonlinear control
  • intelligent transportation systems
  • robust and adaptive control

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