Results 211 to 220 of about 415,933 (257)

Structural Synthesis of Multivariable Controllers

IFAC Proceedings Volumes, 1984
The paper concerns the problem of achieving a desired transfer matrix between external inputs and controlled outputs of linear multivariable systems by connecting proper, stabilizing controllers between measured outputs and control inputs. Solutions are given in both transfer function and state-space frameworks.
Ohm, D. Y., Howze, J. W., Bhattacharyya, S. P.   +2 more
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Multivariate Control Charts

2012
This chapter is devoted to the main aspects concerning the multivariate control charts. It covers the multivariate normal distribution, the data structure, and the mult.chart function that allows the computation in R and the most used multivariate control charts such as the χ2, T2, the Multivariate Exponentially Weighted Moving Average, the ...
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Multivariable Predictive Control

IFAC Proceedings Volumes, 1997
Abstract This paper presents some real-time laboratory experiments with a multivariable predictive control law based on the Generalized Predictive Control (GPC) and Constrained Receding Horizon Predictive Control (CRHPC) to demonstrate their performance under various conditions.
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Multivariable adaptive control: A survey

Automatica, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multivariable Control of Industrial Fractionators

IFAC Proceedings Volumes, 1986
Abstract The multivariable Nyquist Array method offers a concept which enables the classical singie-iiiput/s iugle-uutput Nyquist control dcoign methode to ba extended to multivariable systems. This concept is based on partial decoupling using a compensator net-work to achieve what is known as a “diagonal-dominant” structure, whereby single-loop ...
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Multivariable Control

Electronics and Power, 1984
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QUALITY CONTROL WITH MULTIVARIATE DATA

Australian Journal of Statistics, 1992
SummaryThe paper examines statistical process control of bivariate and multivariate data, using in particular the multivariate equivalents of the univariate Shewhart chart, CUSUM chart and the Exponentially Weighted Moving Average chart. This illustrates the usefulness of Principal Component methods in statistical process control with multivariate data.
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Cervical cancer prevention and control in women living with human immunodeficiency virus

Ca-A Cancer Journal for Clinicians, 2021
Philip E Castle, Vikrant V Sahasrabuddhe
exaly  

Multivariable Control Theory

IEEE Transactions on Systems, Man, and Cybernetics, 1979
J. M. Layton, Stephen Barnett
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Mailed fecal immunochemical test outreach for colorectal cancer screening: Summary of a Centers for Disease Control and Prevention–sponsored Summit

Ca-A Cancer Journal for Clinicians, 2020
Samir Gupta, Gloria D Coronado, Alison T Brenner   +2 more
exaly