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    Nonlinear Compensation and Stochastic Control 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1988:;volume( 110 ):;issue: 004:;page 430
    Author(s): M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The usual ARMAX linear model for a discrete-time system is generalized to include a nonlinear characteristic. A nonlinear compensation scheme is proposed which enables a modified LQG control ...
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    Long Range Predictive Optimal Control Law With Guaranteed Stability for Process Control Applications 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1993:;volume( 115 ):;issue: 004:;page 600
    Author(s): M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The Generalized Predictive Control law has been successfully applied in industrial applications but has limitations on nonminimum phase processes for some of the most obvious choices of cost-functions. ...
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    State-Space Approach to LQG Multivariable Predictive and Feedforward Optimal Control 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1994:;volume( 116 ):;issue: 004:;page 610
    Author(s): M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Two extensions of the LQG optimal control problem are presented which enable prediction and feedforward action to be introduced in a state equation framework. Predictive control is first considered ...
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    Multichannel Optimal Linear Deconvolution Filters and Strip Thickness Estimation From Gauge Measurements 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1995:;volume( 117 ):;issue: 002:;page 165
    Author(s): M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A solution is presented to the H2 optimal deconvolution filtering, smoothing and prediction problems for multivariable, discrete, linear signal processing problems. A weighted H2 cost-function is ...
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    Polynomial Solution of Predictive Optimal Control Problems For Systems in State-Equation Form 

    Source: Journal of Dynamic Systems, Measurement, and Control:;2003:;volume( 125 ):;issue: 003:;page 439
    Author(s): M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The solution of linear quadratic predictive optimal control problems for systems represented in state-equation form, but using a polynomial systems approach, is considered. A multistep cost-function ...
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    H∞ Controllers With a PID Structure 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1990:;volume( 112 ):;issue: 003:;page 325
    Author(s): M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A review is given of the new H∞ Observations Weighted (HOW) optimal control law. The conditions under which the H∞ controller has a PID structure are identified and some implications for PID ...
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    3 1/2 DOF Polynomial Solution of the Inferential H2/H∞ Control Problem With Application to Metal Rolling 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1998:;volume( 120 ):;issue: 004:;page 445
    Author(s): M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The solution of a new inferential 3 1/2-degree-of-freedom stochastic optimal control problem is discussed which may be either H2 or H∞ optimal. The system includes a 2 1/2-degree-of-freedom ...
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    H∞ Observations Weighted Control Law 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1990:;volume( 112 ):;issue: 003:;page 337
    Author(s): M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A H∞ optimal control problem is considered which leads to a particularly simple controller structure. The expression for the optimal controller only requires the solution of one diophantine ...
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    Design of a Multivariable Neural Controller and Its Application to Gas Turbines 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1997:;volume( 119 ):;issue: 003:;page 565
    Author(s): Q. Song; M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The algorithm for a multivariable controller using neural network is based on a discrete-time fixed controller and the neural network provides a compensation signal to suppress the nonlinearity. ...
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    Solution of Finite-Time LQP Optimal Control Problems for Discrete-Time Systems 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1982:;volume( 104 ):;issue: 002:;page 151
    Author(s): M. J. Grimble; J. Fotakis
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The deterministic discrete-time optimal control problem for a finite optimization interval is considered. A solution is obtained in the z-domain by embedding the problem within a equivalent ...
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