The evolution of safety-critical autonomous systems, including agile drones and surgical robots, has fundamentally increased the demands for control design.

More engineers are turning to reinforcement learning to incorporate adaptive and self-tuning control into industrial systems. It aims to strike a balance between traditional ...

Abstract: Nonlinear affine systems with relative degree two widely exist in the control field, and the unified output tracking control approach of these systems is still an open problem. This paper ...

Abstract: This research considers the problem of event-based adaptive fault-tolerant control for nonlinear cyber-physical systems with deception attacks and actuator faults via intermittent available ...

Machine Design distills the cutting-edge landscape of advanced manufacturing through the eyes of multidisciplinary engineers, covering technical insights on the foundational and emerging principles of ...