Reinforcement learning-based predefined-time secure control for fractional-order nonlinear systems with sensor and actuator attacks.
A secure control problem is investigated for constrained fractional-order nonlinear systems subject to both sensor and actuator attacks. To handle the effects induced by the dual attacks, a nonlinear mapping-based coordinate transformation is elaborately introduced to convert the original state-constrained system into...