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Filtering by: Creator Rinehart, Ronald E. Remove constraint Creator: Rinehart, Ronald E. Academic Affiliation Electrical and Computer Engineering Remove constraint Academic Affiliation: Electrical and Computer Engineering

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  • An optimal control approximation for a certain class of nonlinear filtering problems

    Creator:
    Halawani, Talal Umar
    Abstract:
    A new approximation technique to a certain class of nonlinear filtering problems is considered in this dissertation. The method is based on an approximation of nonlinear, partially-observable systems by a stochastic control problem with fully observable state. The filter development proceeds from the assumption that the unobservables are conditionally Gaussian...
    Resource Type:
    Dissertation
    Full Text:
    : Ronald R. Mohler A new approximation technique to a certain class of nonlinear filtering problems is

  • Observability and information structure of nonlinear systems

    Creator:
    Hwang, Chun Sik
    Abstract:
    An observability problem for both deterministic and stochastic systems is studied here. Deterministic observability is a determination of whether every state of the system is connected to the observation mechanism and how it is connected, if connected. On the other hand, stochastic observability discusses the "tightness" of the connection in...
    Resource Type:
    Dissertation
    Full Text:
    sincere gratitude to Dr. Ronald R. Mohler, his major professor, for his good-natured guidance in every

  • Robust nonlinear decentralized control of robot manipulators

    Creator:
    Jimenez, Ronald, 1964-
    Abstract:
    A new decentralized nonlinear controller for Robot Manipulators is presented in this thesis. Based on concepts of Lyapunov stability theory and some control ideas proposed in [3]-[7], we obtain continuous nonlinear decentralized control laws which guarantee position and velocity tracking to within an arbitrarily small error. Assumptions based on physical...
    Resource Type:
    Masters Thesis
    Full Text:
    Leon for Ronald Jimenez Acknowledgment To Professor Dr. Mario E. Magaila TABLE OF CONTENTS I

  • Analysis and control of power systems using orthogonal expansions

    Creator:
    Fernandes, Stephen Ronald
    Abstract:
    In recent years, considerable attention has been focused on the application of orthogonal expansions to system analysis, parameter identification, model reduction and control system design. However, little research has been done in applying their useful properties to Power System analysis and control. This research attempts to make some inroads in...
    Resource Type:
    Masters Thesis
    Full Text:
    orthogonal expansions AN ABSTRACT OF THE THESIS OF Stephen Ronald Fernandes for the degree of Master of

  • Bilinear stochastic processes and time series

    Creator:
    Tang, Zhigiang
    Abstract:
    In engineering, biology, ecology, medicine, economics and social science, some processes are essentially bilinear, and some could be approximated accurately by bilinear processes under certain conditions. In this thesis the bilinear stochastic process and bilinear time series are discussed. Bilinear models essentially are nonlinear; the superposition rule is not valid....
    Resource Type:
    Dissertation
    Full Text:
    gratitude to Professor Ronald R. Mohler for his continuing encouragement, guidance, support and friendship

  • Stability of discrete bilinear systems

    Creator:
    Yang, Xueshan
    Resource Type:
    Dissertation
    Full Text:
    Privacy Abstract Approved: Ronald R. Mohler Abstract - In this thesis, the stability of the discrete

  • Neural network control of nonlinear discrete time systems

    Creator:
    Zakrzewski, Radoslaw Romuald
    Abstract:
    The main focus of this work is on the problem of existence of nonlinear optimal controllers realizable by artificial neural networks. Theoretical justification, currently available for control applications of neural networks, is rather limited. For example, it is unclear which neural architectures are capable of performing which control tasks. This...
    Resource Type:
    Dissertation
    Full Text:
    Nonlinear Discrete Time Systems Abstract approved Ronald R. Mohler The main focus of this work is on

  • Optimization of stochastic dynamic system with random coefficients

    Creator:
    Yi, Man Hyung
    Abstract:
    The problem of optimization of stochastic dynamic systems with random coefficients is discussed. Systems with both Wiener processes and uncertain random-process disturbances are dealt with in this dissertation, and these include certain bilinear stochastic systems. It is the purpose of this thesis to study the optimal control and, to some...
    Resource Type:
    Dissertation
    Full Text:
    SYSTEM WITH RANDOM COEFFICIENTS Redacted for Privacy Abstract approved: Professor Ronald R. Mohler

  • Team differential games and non-linear signal processing

    Creator:
    Bugnon, Francois J.
    Abstract:
    Team pursuit-evasion games are studied here with one performance index for the team as a unit in competition with one common opponent. Particular structures of team games are discussed after a brief introduction of the two-player differential games. The classical calculus of variations is used to derive the feedback strategies...
    Resource Type:
    Dissertation
    Full Text:
    . Title: Team Differential Games and Non-Linear Signal Processing Abstract approved: Ronald R. Mohler

  • Simplification of large linear systems using two-step iterative method

    Creator:
    Shoji, Fumihiro Frank
    Abstract:
    The order of the practical system (e.g. nuclear power plants, electrical power network and chemical plant) is quite large. However, there are many limitations in computing facilities for the large system. Because of these limitations, it is often necessary to reduce the order of the large system using an approximation....
    Resource Type:
    Masters Thesis
    Full Text:
    SYSTEMS USING TWO- STEP ITERATIVE METHOD Approved: Redacted for Privacy Ronald R. Mohler The order of