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Toward V&V of Neural Network Based Controllers (2002)
| Content Provider | CiteSeerX |
|---|---|
| Author | Schumann, Johann Nelson, Stacy |
| Abstract | Online adaptation is a powerful means to handle unexpected slow or catastrophic changes of the system's behavior (e.g., a stuck or broken rudder of an aircraft). Therefore, adaptation is one way for realizing a self-healing system. Substantial research and development has been made to use neural networks (NN) for such tasks (e.g., integrated in vari- ous unmanned helicopters and test-flown on a modified F-15 aircraft). Despite the advantages of adaptive neural network based systems, the lack of methods to perform certification, verification, and validation (V&V) of such systems severely restricts their applicability. |
| File Format | |
| Publisher Date | 2002-01-01 |
| Access Restriction | Open |
| Subject Keyword | Adaptive Neural Network Neural Network Self-healing System Powerful Mean Online Adaptation Unexpected Slow Substantial Research F-15 Aircraft Catastrophic Change Vari Ous Unmanned Helicopter Broken Rudder |
| Content Type | Text |
