Crop management plays a crucial role in determining crop yield economic profitability and
environmental sustainability. Despite the availability of management guidelines optimizing …

Online safe reinforcement learning (RL) involves training a policy that maximizes task
efficiency while satisfying constraints via interacting with the environments. In this paper, our …

This letter presents a systematic method based on the sum of square (SOS) optimization to
synthesize control barrier functions (CBFs) for nonlinear polynomial systems subject to input …

Moisture in coal plays a critical role in influencing gas desorption. This work numerically
establishes a mathematical model for the gas desorption in spherical coal particles with …

Reinforcement learning is a powerful technique for developing new robot behaviors.
However, typical lack of safety guarantees constitutes a hurdle for its practical application on …

To remove the influence of system initial values and controller parameters on the settling-
time function of finite/fixed-time control, a prescribed-time fuzzy adaptive control is designed …

The growing interest in robust designs and data-driven technologies for safe control
problems underscores the critical need to understand uncertainty for ensuring reliable safety …

Recently, reinforcement learning (RL) has been increasingly used in autonomous driving
(AD) navigation control systems. However, most RL-based AD navigation control systems …

Recently, the autonomous driving technology is at a critical phase evolving from typical,
closed scenarios to largescale, open driving scenarios, which is challenged by the diversity …

While control barrier functions provide a powerful tool to endow controllers with formal safety
guarantees, robust control barrier functions (RCBF) can be used to extend these guarantees …