Abstract Recent advances in Artificial Intelligence (AI) and Cyber-Physical Systems (CPS)
for aerospace applications have brought about new opportunities for the fast-growing …

In this paper, a survey on the machine learning techniques in spacecraft control design is
given. Among the applications of machine learning on the subject are the design of optimal …

Research on uncertainty-oriented optimal attitude control of spacecraft with complex space
environments and multisource uncertainties is a research hotspot. Considering that the …

Micro-vibration caused by disturbance sources onboard spacecraft can severely degrade
the working environment of high-precision space optical instruments (HPSOIs) in orbit …

A real-time Deep Neural Network (DNN) adaptive control architecture is developed for
general uncertain nonlinear dynamical systems to track a desired time-varying trajectory. A …

This paper investigates the fault-tolerant attitude stabilization control problem for the satellite
system subject to actuator failures, sensor failures and external disturbances. First, the H∞ …

This paper studies the trajectory tracking control of space manipulator in the presence of
actuator uncertainties, such as actuator fault, actuator saturation and the bias control torque …

This work studies the event-based fault-tolerant control issue of networked control systems
with actuator saturation, resilient event-triggering, randomly occurring nonlinearities, and …

This study investigates the active fault tolerant control (FTC) problem for the attitude system
of a rigid satellite, which is affected by parameter uncertainty, unknown exogenous …

This paper mainly investigates the fixed-time cooperative fault-tolerant control problem for
heterogeneous satellite attitude control systems with external disturbances, actuator faults …