论文信息 - Controller performance design and assessment using nonlinear generalized minimum variance benchmark: scalar case

Controller performance design and assessment using nonlinear generalized minimum variance benchmark: scalar case

A nonlinear version of the Generalized Minimum Variance (GMV) multivariable control law has been recently derived for the control of nonlinear, possibly time-varying systems. This paper presents the results of the controller performance assessment against this Nonlinear GMV controller in the scalar case. The minimum variance of the generalized output is estimated from routine operating data given only the plant time delay and the technique is applied to a nonlinear reactor control example.

Pawel Majecki | Michael J. Grimble | M. Grimble | P. Majecki

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