Stochastic regulator for integrated communication and control systems. Part II. Numerical analysis and simulation

Luen Woei Liou, Asok Ray

    Research output: Contribution to journalArticle

    1 Citation (Scopus)

    Abstract

    A state feedback control law has been derived in Part I of this two-part paper on the basis of an augmented plant model that accounts for the randomly varying delays induced by the network in Integrated Communication and Control Systems (ICCS). The control algorithm was formulated as a linear quadratic regulator problem and then solved using the principle of dynamic programming and optimality. This paper, which is the second of two parts, presents (i) a numerical procedure for synthesizing the control parameters and (ii) results of simulation experiments for verification of the above control law using the flight dynamic model of an advanced aircraft. This two-part paper is concluded with recommendations for future work.

    Original languageEnglish (US)
    Journal[No source information available]
    StatePublished - 1990

    Fingerprint

    Numerical analysis
    Communication systems
    Control systems
    Flight dynamics
    Computer simulation
    State feedback
    Dynamic programming
    Feedback control
    Dynamic models
    Aircraft
    Experiments

    All Science Journal Classification (ASJC) codes

    • Mechanical Engineering

    Cite this

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    title = "Stochastic regulator for integrated communication and control systems. Part II. Numerical analysis and simulation",
    abstract = "A state feedback control law has been derived in Part I of this two-part paper on the basis of an augmented plant model that accounts for the randomly varying delays induced by the network in Integrated Communication and Control Systems (ICCS). The control algorithm was formulated as a linear quadratic regulator problem and then solved using the principle of dynamic programming and optimality. This paper, which is the second of two parts, presents (i) a numerical procedure for synthesizing the control parameters and (ii) results of simulation experiments for verification of the above control law using the flight dynamic model of an advanced aircraft. This two-part paper is concluded with recommendations for future work.",
    author = "Liou, {Luen Woei} and Asok Ray",
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    journal = "[No source information available]",
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    AU - Ray, Asok

    PY - 1990

    Y1 - 1990

    N2 - A state feedback control law has been derived in Part I of this two-part paper on the basis of an augmented plant model that accounts for the randomly varying delays induced by the network in Integrated Communication and Control Systems (ICCS). The control algorithm was formulated as a linear quadratic regulator problem and then solved using the principle of dynamic programming and optimality. This paper, which is the second of two parts, presents (i) a numerical procedure for synthesizing the control parameters and (ii) results of simulation experiments for verification of the above control law using the flight dynamic model of an advanced aircraft. This two-part paper is concluded with recommendations for future work.

    AB - A state feedback control law has been derived in Part I of this two-part paper on the basis of an augmented plant model that accounts for the randomly varying delays induced by the network in Integrated Communication and Control Systems (ICCS). The control algorithm was formulated as a linear quadratic regulator problem and then solved using the principle of dynamic programming and optimality. This paper, which is the second of two parts, presents (i) a numerical procedure for synthesizing the control parameters and (ii) results of simulation experiments for verification of the above control law using the flight dynamic model of an advanced aircraft. This two-part paper is concluded with recommendations for future work.

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