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.

Browse

Filters

Settings

Author: search.filters.author.Elliott, David L.

Search Results

Now showing 1 - 5 of 5
  • Thumbnail Image
    Item
    Ambiguous Behavior of Logic Bistable Systems
    (1975-10-04) Hurtado, Marco; Elliott, David L.
    The standard specification of logic bistable devices do not specify the behavior under conditions in which the input is logically undefined or in which certain kinds of multiple input changes occur. These conditions are unavoidable in logic synchronizers and arbiters. A general deterministic model of bistable devices is proposed, consisting of a non-liner differential system with some adequate properties. Analysis of this model shows that bistable devices can be driven into a logically undefined region by certain admissible inputs and can remain in this region for an unbounded length of time.
  • Thumbnail Image
    Item
    A Controllability Counterexample
    (2005) Elliott, David L.; ISR
    Simulation by time discretizations can be qualitatively misleading; as counterexamples a class of non-controllable single-input two-dimensional bilinear control systems is presented whose Euler discretizations are controllable on the punctured plane.
  • Thumbnail Image
    Item
    Controllable Nonlinear Systems Driven by White Noise
    (2004) Elliott, David L.; ISR
    Note: This is the Ph.D. thesis of ISR Visiting Researcher David L. Elliott. It was completed at the University of California at Los Angeles in 1969 under the advisement of A.V. Balakrishnan.

    See the PDF file for the abstract of this work.

  • Thumbnail Image
    Item
    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.
  • Thumbnail Image
    Item
    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.