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Discrete Multivariate Optimal Control
Journal of Optimization Theory and Applications, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Andreea Bejenaru, Monica Pîrvan
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Multivariable multipurpose controllers
Systems & Control Letters, 1983Abstract In this note, a procedure is presented to design a multivariable system to achieve arbitrary pole-placement, decoupling, asymptotic tracking and disturbance rejection. The procedure is a modification of the one in Wolovich (1981) . The total degree of compensators required in this design is generally smaller than the one there.
Chen, Chi-Tsong, Zhang, Shou-Yuan
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IFAC Proceedings Volumes, 1994
Abstract The structure of multivariable systems is examined and the derivation of multivariable models using experimental test procedures is explored. An example of a laboratory scale multivariable plant, a motor/alternator rig, is described and results are presented to illustrate how simple transfer function models can be derived from step response ...
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Abstract The structure of multivariable systems is examined and the derivation of multivariable models using experimental test procedures is explored. An example of a laboratory scale multivariable plant, a motor/alternator rig, is described and results are presented to illustrate how simple transfer function models can be derived from step response ...
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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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