TL;DR
Improvements of 13% under normal conditions and 17% in the presence of system noise achieved by the proposed approach, compared to integer-order difference (IOD)-RL are demonstrated.
A study on fault-tolerant control (FTC) design based on RL techniques for a high-performance aircraft to address the faults in angular velocity sensors, and results show that the proposed control system significantly improves the aircraft’s stability and handling under various maneuvers.
For nonlinear constrained systems with sensor and actuator faults (SAFs), a neural network-based adaptive event-triggered controller is proposed. Nonlinearities and SAFs commonly occur in actual engineering plants, which can lead to system instability, and severely degrade control performance. The state observer with a...
This study investigates a novel neuroadaptive faulttolerant control (FTC) strategy for vehicle-manipulator systems operating under simultaneous actuator faults and uncertain external disturbances. The proposed framework integrates an optimal iterative control policy with extreme learning machine (ELM)-based neural esti...
This article explores an event-triggered self-learning parallel tracking control strategy for continuous-time nonlinear systems with actuator faults. To mitigate the impact of actuator faults, an enhanced performance index function is developed based on the unknown upper bound of such faults. Furthermore, an augmented...
The safety verification of neural network (NN) controllers operating in uncertain environments characterized by unmodeled dynamics, nonlinearities, and time delays remains a fundamental challenge in robust control analysis. This article introduces a novel method, termed Keep‐Close , for analyzing the performance...
In addressing the challenge of achieving precise tracking control for uncertain nonlinear systems under complex disturbances, this paper proposes a Robust Data-induced Learning Control (R-DiLC) framework. The R-DiLC introduces a dual-timescale adaptation mechanism that effectively compensates for both iteration-invaria...
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