Optimization and Control of Cyber-Physical Vehicle Systems

Area of Science:

• Cyber-Physical Systems (CPS)
• Robotics and Autonomous Systems
• Control Theory and Engineering

Background:

• Cyber-physical systems (CPS) integrate computation, communication, and physical elements.
• Cyber-physical vehicle systems (CPVSs) are advancing with real-time computing, control, and AI.
• Optimization techniques are crucial for enhancing CPS efficiency, capability, and safety.

Purpose of the Study:

• To survey research on run-time cooperative optimization (co-optimization) of cyber and physical systems in CPVSs.
• To explore how co-optimization and co-regulation schemes utilize both cyber and physical resources.
• To review applications in mobile robotic and vehicle systems.

Main Methods:

• Surveying existing research on run-time co-optimization and co-regulation in CPVSs.
• Examining schemes that consider both cyber and physical resources simultaneously.
• Analyzing techniques such as time-varying sampling, sensor scheduling, and feedback scheduling.

Main Results:

• Run-time co-optimization and co-regulation enable CPVSs to be responsive to disturbances and uncertainties.
• Integrating cyber and physical resource utilization enhances system performance.
• The surveyed research highlights the importance of considering both domains for effective CPVS operation.

Conclusions:

• Cooperative optimization and regulation of cyber and physical resources are essential for advanced CPVSs.
• Future research should continue to explore integrated approaches for mobile robotic and vehicle systems.
• The surveyed techniques offer a foundation for designing more efficient and robust CPVSs.