Hejia Gao

TL;DR: The n-dimensional discretized model of the two-link flexible manipulator is developed by the assumed mode method (AMM) and both full-state feedback control and output feedback control are investigated to achieve the trajectory tracking and vibration suppression.

TL;DR: The control design and experiment validation of a flexible two-link manipulator (FTLM) system represented by ordinary differential equations (ODEs) are discussed and a reinforcement learning (RL) control strategy is developed that is based on actor–critic structure to enable vibration suppression while retaining trajectory tracking.

TL;DR: In this paper, in order to analyze the single-link flexible structure, the assumed mode method is employed to develop the dynamic model and fuzzy neural network (NN) control is investigated to track the desired trajectory accurately and to suppress the flexible vibration maximally.

TL;DR: In this paper, an adaptive fault-tolerant controller based on the fuzzy neural network (FNN) and nonsingular fast terminal sliding mode (NFTSM) control scheme is proposed for tracking control and vibration suppression of the flexible wings of the aircraft.

TL;DR: It is proved by Lyapunov’s stability that the elastic vibration of the flexible beam system can be effectively suppressed and the compounded disturbance observer-based adaptive neural network strategy from the perspective of practice.