Space is the driving force of the world's sustainable development, and ensuring the
sustainability of human activity in space is also necessary. Robotic arm active debris capture …

Airbreathing aero-engines are regarded as excellent propulsion devices from ground takeoff
to hypersonic flight, and require control systems to ensure their efficient and safe operation …

This article presents a novel efficient experience-replay-based adaptive dynamic
programming (ADP) for the optimal control problem of a class of nonlinear dynamical …

This paper investigates a dynamic event-triggered optimal control problem of discrete-time
(DT) nonlinear Markov jump systems (MJSs) via exploring policy iteration (PI) adaptive …

This article proposes a fault-tolerant adaptive multigradient recursive reinforcement learning
(RL) event-triggered tracking control scheme for strict-feedback discrete-time multiagent …

The finite-time consensus fault-tolerant control (FTC) tracking problem is studied for the
nonlinear multi-agent systems (MASs) in the nonstrict feedback form. The MASs are subject …

This brief mainly considers trajectory tracking and vibration suppression for a 3-D flexible
wing. The dynamical model of the flexible wing is regarded as a distributed parameter …

This article focuses on the design, test, and validation of a deep neural network (DNN)-
based control scheme capable of predicting optimal motion commands for autonomous …

Adaptive dynamic programming (ADP) and reinforcement learning are quite relevant to each
other when performing intelligent optimization. They are both regarded as promising …

Optimal performance is extremely important for hypersonic flight control. Different from most
existing methodologies, which only consider basic control performance including stability …