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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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    Robust Controller for Gas Turbines Based Upon LQG/LTR Design With Self-Tuning Features 

    Source: Journal of Dynamic Systems, Measurement, and Control:;1993:;volume( 115 ):;issue: 003:;page 569
    Author(s): Q. Song; J. Wilkie; M. J. Grimble
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: A feasibility study is described for the design of a self-tuning controller for gas turbines with the multivariable discrete-time robust controller designed using a Linear Quadratic Gaussian/ ...
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