Institute for Systems Research Technical Reports

Permanent URI for this collectionhttp://hdl.handle.net/1903/4376

This archive contains a collection of reports generated by the faculty and students of the Institute for Systems Research (ISR), a permanent, interdisciplinary research unit in the A. James Clark School of Engineering at the University of Maryland. ISR-based projects are conducted through partnerships with industry and government, bringing together faculty and students from multiple academic departments and colleges across the university.

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1993 - 19952

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Author: search.filters.author.Elliott, David L.Subject: search.filters.subject.nonlinear systems

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    Reconstruction of Nonlinear Systems Using Delay Lines and Feedforward Networks
    (1995) Elliott, David L.; ISR
    Nonlinear system theory ideas have led to a method for approximating the dynamics of a nonlinear system in a bounded region of its state space, by training a feedforward neural network which is then reconfigured in recursive mode to provide a stand-alone simulator of the system. The input layer of the neural network contains time-delayed samples of one or more system outputs and control inputs. Autonomous systems can be simulated in this way by providing impulse inputs.
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    A Better Activation Function for Artificial Neural Networks
    (1993) Elliott, David L.; ISR
    An activation function, possibly new, is proposed for use in digital simulation of artificial neural networks, on the ground that the computational operation count for this function is much smaller than for those employing exponentials and it satisfies a simple differential equation generalizing the logistic equation.