Neurocontrol of an aircraft: Application to windshear

Authors:
S. M. Amin;E. Y. Rodin;Y. Wu
Affiliations:
Center for Optimization and Semantic Control Department of Systems Science and Mathematics Campus Box 1040, Washington University in St. Louis St. Louis, MO 63130-4899, U.S.A.;Center for Optimization and Semantic Control Department of Systems Science and Mathematics Campus Box 1040, Washington University in St. Louis St. Louis, MO 63130-4899, U.S.A.;Center for Optimization and Semantic Control Department of Systems Science and Mathematics Campus Box 1040, Washington University in St. Louis St. Louis, MO 63130-4899, U.S.A.
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
1995

Citing 5
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Abstract

In this report, we consider the part of our work which concerns the design of neuroidentifiers and neurocontrollers which attenuate the effects of disturbances. Examples for linear-systems identification and disturbance rejection, as well as nonlinear control of an aircraft encountering wind shear on take-off are briefly discussed, and the following three problems are addressed. 1.1. System identification via dynamic neural networks. 2.2. Disturbance attenuation via memory neurons. 3.3. Aircraft control in the presence of wind shear after takeoff.