Add to ORKGThe presence of faults on feedback sensors can have serious effects on the performance of closed-loop systems. This note describes a method of using an auxiliary neural network controller to proviele the required closed-loop dynamic response even when sensorfaults are present. The effectiveness of the scheme is described in relation to a helicopter flight control system which operated with a variety of different types of sensor faults. Sensor; fault; neural network; closed-loop; dynamic response; flight-control syste
This paper shows the results of a research effort focused on demonstrating the capabilities of hardw...
This paper describes an integrated neural flight and propulsion control system, which uses a neural ...
Sensor Fault Detection Identification and Accommodation (SFDIA) is an important part of safety criti...
The research in this document focuses on the performance of a neural network-based fault tolerant sy...
A novel adaptive neural network-based fault-tolerant control scheme is proposed for six degree-of-fr...
This paper presents a neural-network-based approach for the problem of sensor failure detection, ide...
This thesis addresses the topic of fault-tolerant flight control system (FTFCS) design and focuses o...
In this paper, an adaptive neural fault-tolerant control scheme is proposed for the three degrees of...
fault detection and accommodation using neural networks with application to a non-linear unmanned ai...
The nonlinear behavior exhibited by altitude control system processes and also the presence of exter...
Automatic flight control system has a manipulation impact on aircraft. From this point of view, cons...
The paper describes a low computational power method for detecting sensor faults. A typical fault de...
The research is concerned with developing a new approach to enhancing fault tolerance of flight cont...
An aircraft can be considered as a time-varying, non-linear system affected by process noise which c...
Modern control systems rely heavily on their sensors for reliable operation. Failure of a sensor cou...
This paper shows the results of a research effort focused on demonstrating the capabilities of hardw...
This paper describes an integrated neural flight and propulsion control system, which uses a neural ...
Sensor Fault Detection Identification and Accommodation (SFDIA) is an important part of safety criti...
The research in this document focuses on the performance of a neural network-based fault tolerant sy...
A novel adaptive neural network-based fault-tolerant control scheme is proposed for six degree-of-fr...
This paper presents a neural-network-based approach for the problem of sensor failure detection, ide...
This thesis addresses the topic of fault-tolerant flight control system (FTFCS) design and focuses o...
In this paper, an adaptive neural fault-tolerant control scheme is proposed for the three degrees of...
fault detection and accommodation using neural networks with application to a non-linear unmanned ai...
The nonlinear behavior exhibited by altitude control system processes and also the presence of exter...
Automatic flight control system has a manipulation impact on aircraft. From this point of view, cons...
The paper describes a low computational power method for detecting sensor faults. A typical fault de...
The research is concerned with developing a new approach to enhancing fault tolerance of flight cont...
An aircraft can be considered as a time-varying, non-linear system affected by process noise which c...
Modern control systems rely heavily on their sensors for reliable operation. Failure of a sensor cou...
This paper shows the results of a research effort focused on demonstrating the capabilities of hardw...
This paper describes an integrated neural flight and propulsion control system, which uses a neural ...
Sensor Fault Detection Identification and Accommodation (SFDIA) is an important part of safety criti...