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Modal Controllers for Multivariable Control Systems
Computational Mathematics and Modeling, 2001An approach is proposed for the synthesis of modal controllers in linear multivariable systems based on diagonalization of the closed-loop matrix transfer function.
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Communications in Statistics - Theory and Methods, 1985
This paper includes both the motivation for multivariate quality control, and a discussion of some ot rhe techniques currently available. The emphasis focuses primarily on control charts and includes the T2 -chart, the use of principal components anm some recent developments, multivariate analogs of CUSUM cnarts and the use of the Andrews procedure ...
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This paper includes both the motivation for multivariate quality control, and a discussion of some ot rhe techniques currently available. The emphasis focuses primarily on control charts and includes the T2 -chart, the use of principal components anm some recent developments, multivariate analogs of CUSUM cnarts and the use of the Andrews procedure ...
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Nonlinear Multivariable Control
2004In this chapter a number of multivariable non-linear control techniques will be discussed. They are based on physical process models, although they can also be used with empirical models. The first approach is non-linear model predictive control and non-linear quadratic DMC.
Brian Roffel, Ben H. Betlem
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2004
In this chapter linear multivariable predictive control will be reviewed. The approach discussed is based on the stepweight models that were derived in chapter three. There are several forms in which linear multivariable predictive control can appear: the first approach to be discussed in this chapter is Dynamic Matrix control.
Brian Roffel, Ben H. Betlem
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In this chapter linear multivariable predictive control will be reviewed. The approach discussed is based on the stepweight models that were derived in chapter three. There are several forms in which linear multivariable predictive control can appear: the first approach to be discussed in this chapter is Dynamic Matrix control.
Brian Roffel, Ben H. Betlem
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Computers & Chemical Engineering, 1988
Abstract Multivariable control techniques have not been as widely adopted in process plants as their developers had hoped and expected. This can be attributed to their dependency on an accurate process model and their inability to effectively handle abnormal conditions.
V.K. Tzouanas +3 more
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Abstract Multivariable control techniques have not been as widely adopted in process plants as their developers had hoped and expected. This can be attributed to their dependency on an accurate process model and their inability to effectively handle abnormal conditions.
V.K. Tzouanas +3 more
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Multivariable Adaptive Control
2008In this chapter, adaptive output feedback control of a class of multiple-input multiple-output systems is considered in the presence of unknown disturbances. Except the signs of the term multiplying the control are assumed, no other knowledge on the unknown parameters is required.
Jing Zhou, Changyun Wen
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Structural Synthesis of Multivariable Controllers
IFAC Proceedings Volumes, 1984The 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. +2 more
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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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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, 1997Abstract 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 Control of Industrial Fractionators
IFAC Proceedings Volumes, 1986Abstract 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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