Adaptive neural finite-time formation control for multiple underactuated vessels with actuator faults

Finite-time fault tolerant attitude control for over-activated spacecraft subject to actuator misalignment and faults

A finite-time attitude compensation control scheme is developed for an over-activated rigid spacecraft subject to actuator faults, misalignment, external disturbances and uncertain inertia parameters. The controller is synthesised based on the sliding mode control theory, and guarantees the finite-time reachability of the system states. A sufficient condition for the controller to accommodate m...

Control Reconfiguration of a Boiler-Turbine Unit After Actuator Faults

Boiler-turbines are one of the most important parts in power generation plants. The safety problem in such systems has always been a special concern. This paper discusses the application of control reconfig uration by fault-hiding approach for a boiler-turbine unit. In Fault-hiding approach, after occurrence of a fault, nominal controller of the system remains unchanged; instead, a reconfigurat...

Decentralized Adaptive Fault-Tolerant Control for Complex Systems with Actuator Faults

In this paper, an adaptive fault-tolerant control scheme is extended to large-scale interconnected systems with actuator failures and external disturbances. Based on Lyapunov stability theory, a state feedback decentralized controller is designed to compensate for the fault and the disturbance effects, using the overlapping decomposition method. Applying the inclusion principle, the interconnec...

Neural adaptive control for nonlinear multiple time scale dynamic systems

Adaptive control of nonlinear systems has been an active area in recent years, but it is difficult to control unknown plants. A common approach to deal with this problem is to utilize the simultaneous identification technique. Neural networks have been employed in the identification and control of unknown nonlinear systems owing to their massive parallelism, fast adaptation and learning capabil...

Neural adaptive control for nonlinear multiple time scale dynamic systems