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In this paper we present a method for actuator fault detection and identification in Lure systems.
This paper presents a two-stage extended Kalman filter (TSEKF) method for actuator and sensor fault estimation problem of satellite attitude control systems.
Based on interval analysis, the boundaries of eigenvalues of the controllability grammian are obtained and uncertainty propagation analysis method for actuator configuration is presented.
This paper proposes a method for actuator fault diagnosis in a speed control loop of a hot roughing rolling mill used to carry out multi-pass forward-forward or forward-reverse rolling.
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To simplify the computational complexity of quantization, a sub-optimal method for actuating three-actuator system is mentioned.
A closed-loop optimal location selection method for actuators and sensors in flexible structures is developed.
The present paper is concerned with the application of a hierarchical structure of fuzzy neural networks (HSFNN) to fault isolation on a pneumatic servo-motor actuated valve that is the benchmark considered for all the DAMADICS (Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems) project partners.
The approach is applied to detect and isolate 19 fault candidates in the DAMADICS (Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems) actuator benchmark.
The paper presents results achieved during realization of the international project DAMADICS (Development and Application of Methods for Actuator Diagnosis in Industrial Control Systems).
A fault detection method for aileron actuator under variable conditions is proposed in this study.
This article develops an adaptive fuzzy control method for accommodating actuator faults in a class of unknown nonlinear systems with unmeasured states.
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