Optimal Iterative Learning-Based Fault-Tolerant Control for Vehicle-Manipulator Systems with Actuator Failures
This study investigates a novel neuroadaptive faulttolerant control (FTC) strategy for vehicle-manipulator systems operating under simultaneous actuator faults and uncertain external disturbances. The proposed framework integrates an optimal iterative control policy with extreme learning machine (ELM)-based neural esti...