IEEE

Finite-Iteration Constrained Robust Adaptive Iterative Learning Control for High-Speed Train With Overspeed Protection and Tailgating Protection Under Disturbances

Abstract: To ensure perfect tracking performance, most of the existing iterative learning control (ILC) methods applied to automatic high-speed train (HST) operation control systems require that the ...
IEEE

Finite-Iteration Learning Tracking Control of Magnetic Shape Memory Alloy Actuator Based on Neural Network

Hysteresis is the key factor affecting the positioning accuracy of the magnetic shape memory alloy-based actuator (M-BA). In this brief, we investigate the finite-iteration tracking control problem of ...