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Filtering by: Advisor Nabelek, John L. Remove constraint Advisor: Nabelek, John L. Advisor Saugen, John L. Remove constraint Advisor: Saugen, John L.

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  • A method of improving power system transient stability using controllable parameters

    Creator:
    Mittelstadt, William Andrew
    Abstract:
    Controllable parameters in a power system include generator terminal voltage, generator input power and network admittances. These parameters can be controlled to damp mechanical rotor oscillation in the generators and thereby improve system transient stability. Explicit equations are derived in this thesis for the control of these parameters to introduce...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: John L. Sauge Controllable parameters in a power system include genera- tor terminal

  • Learning control of linear systems with periodic inputs using a method of harmonic analysis

    Creator:
    Cheng, Sih Yao
    Abstract:
    This paper describes a learning control system which is capable of controlling a linear plant subjected to periodic inputs, providing that an upper limit for the order of the plant is known. Otherwise the characteristics of the plant and the inputs are unknown. Only one system variable is measured. The...
    Resource Type:
    Dissertation
    Full Text:
    Redacted for privacy Abstract approved: Professor John L. 'augen This paper describes a learning control

  • A method of controlling the left ventricular wall stress of the human heart

    Creator:
    Sohrab, Soheil
    Abstract:
    In this thesis a method is presented for maintaining the left ventricular wall stress of the human heart at a constant level during the systole (active portion of the heart's cycle). This constant stress level makes it possible to take isotonic measurements on the heart muscles. The left ventricle of...
    Resource Type:
    Masters Thesis
    Full Text:
    approved: John L. Saufeii In this thesis a method is presented for maintaining the left ventricular wall

  • An interactive man-hybrid computer parameter search algorithm

    Creator:
    Morgan, Max J.
    Abstract:
    An interactive man-hybrid computer algorithm is presented for searching a set of dynamic system parameters which effect a compromise between performance characteristics and give satisfactory system sensitivity without any analytical calculations or a priori indices of performance. The parameter search is conducted in a real time design situation in which...
    Resource Type:
    Dissertation
    Full Text:
    -HYBRID COMPUTER PARAMETER SEARCH ALGORITHM Redacted for privacy Abstract approved: pr. John L. Sadien

  • Parameter estimation in system modeling using man-machine interaction and computer learning

    Creator:
    Wagner, John Arthur
    Abstract:
    In certain cases in system modeling, parameter search problems are complicated by the availability of scanty and corrupt physical system data and a large number of model parameters. An algorithm using man-machine interaction is presented to attack this type of parameter search problem with the objective of efficiency in the...
    Resource Type:
    Dissertation
    Full Text:
    interaction and computer learning AN ABSTRACT OF THE THESIS OF JOHN ARTHUR WAGNER for the DOCTOR OF

  • A study of time series interpolation and decimation with signal processing applications

    Creator:
    Kraemer, Thomas Fredrick
    Abstract:
    Decimation and interpolation is shown to be an effective technique for reducing the storage requirements for bandlimited time series. Interpolation and decimation is theoretically developed using z-transform theory and graphically interperted. A sequence of data acquired by sampling a sonar signal is used to demonstrate the effects of decimation. Using...
    Resource Type:
    Masters Thesis
    Full Text:
    PrivacyAbstract approved: John L. SaugeW Decimation and interpolation is shown to be an effective technique for

  • Critical evaluation of Ouyang's model reduction method

    Creator:
    Jia, Zuxin
    Abstract:
    A model reduction method for stable, linear, time-invariant, continuous systems is critically studied. This method, proposed by Prof. Ouyang, is based on the concept of power dispersion and the least-squared estimation technique. The reduced models obtained by this method retain the stability of the stable, high order original systems and...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Redacted for privacy John L. Saugen in A model reduction method for stable, linear

  • An adaptive pitch axis autopilot design for an unstable nonminimum phase pitch axis model

    Creator:
    Chen, Long Ren
    Abstract:
    An adaptive pitch axis autopilot design procedure is presented. The design procedure is applicable to both stable and unstable pitch axis models and to those having nonminimum phase. The design approach assumes the adaptive autopilot is activated after achieving level flight. It is shown a rate-feedback compensator can be designed...
    Resource Type:
    Masters Thesis
    Full Text:
    d onn L. oaugen An adaptive pitch axis autopilot design procedure is presented. The design

  • A method for controlling and stabilizing the pitch-axis dynamics of a magnetically levitated train

    Creator:
    Ramchandran, Ashok
    Abstract:
    An electro-dynamic Magnetic Levitation vehicular system has been modelled and studied. In practice, a MagLev vehicle will consist of a number of cars which are mechanically coupled to each other. It is reasonable to assume that each of these cars will be independently controlled with the help of a supervisory...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract approved: Redacted for Privacy John. L. Saugen An electro-dynamic Magnetic Levitation vehicular

  • A model for the generation and study of electromyographic signals

    Creator:
    Lerman, David
    Abstract:
    A computer model simulating the electrical activity of muscles of the upper arm during elbow motion is presented. The output of the model is an Electromyographic (EMG) signal. System identification is performed on the EMG signals using autoregressive moving average (ARMA) modelling. The calculated ARMA coefficients are then used as...
    Resource Type:
    Masters Thesis
    Full Text:
    Electromyographic Signals Abstract approved: Redacted for Privacy J U1111 L. 13-ctligC11 V A computer model