Fuzzy logic and neural networks in space applications

Yashvant Jani; Jack Aldridge

doi:10.1117/12.165041

22 December 1993 Fuzzy logic and neural networks in space applications

Yashvant Jani, Jack Aldridge

Proceedings Volume 2061, Applications of Fuzzy Logic Technology; (1993) https://doi.org/10.1117/12.165041
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

Abstract

Neural networks known for almost a half-century deal with the complexities of the natural world data by generalizing from prototypes or samples in much the same as humans extrapolate from one experience to similar situations. Neural networks have been studied for fault diagnosis and health monitoring of space operations and have been extended to include time correlated data and create the Space-Time Neural Network. Neural networks have been combined with fuzzy logic to investigate the adaptive decision making systems for translational and rotational control. In this paper, we describe some of the space applications of fuzzy logic and neural networks including tether skip-rope identification using Space-Time Neural Network. We also describe the tools developed at Johnson Space Center to support such investigations.

Citation Download Citation

Yashvant Jani and Jack Aldridge "Fuzzy logic and neural networks in space applications", Proc. SPIE 2061, Applications of Fuzzy Logic Technology, (22 December 1993); https://doi.org/10.1117/12.165041

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