An anticipatory fuzzy logic controller utilizing neural net prediction
Article Abstract:
The goal of this project was to evaluate control fuzzy logic for applicability to control of flexible structures. This was done by applying these methods to control of the Control Structures Interaction Suitcase Demonstrator developed at Marshall Space Flight Center. Both traditional and new anticipatory fuzzy logic schemes were applied to the system, and results were compared to that of the system with a standard Linear Quadratic Regulator as a controller. In order to perform the state prediction necessary to the anticipatory fuzzy logic controller, a neural network was trained to emulate the behavior of the system, based on input-output data for the system. Behavior of the controllers was compared under ideal conditions, under noisy conditions, and with randomly chosen state parameters perturbed by + or - 50%. Fuzzy systems demonstrated robustness to added noise and to changes in plant parameters; the anticipatory fuzzy system exhibited superior performance when compared to both traditional fuzzy and LQR controller systems. The anticipatory fuzzy neural controller exhibits similar properties, but does not require that any mathematical model for the system exist. Thus it can be applied to many real world systems for which other control methods can not be used. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1992
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Use of computer graphics in fitting statistical distribution functions to data representing random events
Article Abstract:
This paper describes the manner in which a windows-oriented, graphical user interface can facilitate the fitting of statistical distribution functions to data representing random events. A multi-featured program that can display data in the form of histograms, fit specified distribution functions to the data and determine a distribution function that best fits the data is described and illustrated with graphical examples. The results are displayed both graphically and in tabular form. Additional features are also described. The program has been written to be compatible with the SIMAN graphical user interface, though the results are general and can be applied within any particular graphical environment. (Reprinted by permission of the publisher.)
Publication Name: SIMULATION
Subject: Engineering and manufacturing industries
ISSN: 0037-5497
Year: 1993
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