Model-prior-aided data-driven safe control methods often rely on batch datasets collected offline, which limits their ability to exploit information acquired during operation. This paper develops an online safe-control framework for discrete-time linear time-invariant systems with parametric uncertainty and bounded dis...
R. Norouzi, Khalil Alipour, Bahram Tarvirdizadeh et al.· IEEE Access· 0 citations
Quadcopters are four‐motor robots that rely on the thrust generated by their motors to move. Thanks to their maneuverability, vertical takeoff and landing, and hover capabilities, they have become increasingly popular. Due to this popularity, over the years, significant advancements have been made in quadcopter maneu...
Alireza Honjani, Mohammad Shahbazi, Bahram Tarvirdizadeh· Optimal control applications...· 0 citations
An off-policy integral reinforcement learning (IRL) algorithm is devised to ascertain the Nash equilibrium solution utilizing quantifiable system data, thereby obviating the necessity for precise knowledge of the internal system matrices.