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On the design of multivariable control systems [PDF]
A general approach for computing the stationary feedback gain of a linear system with specified response characteristic is outlined. The proposed approach can be applied with advantage to the design of multivariable systems as an alternative to the existing methods for design of such systems with specified pole locations.
A. Sinha, A. Mahalanabis
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Decentralized control of linear multivariable systems
Automatica, 1975Abstract This paper studies the effects of decentralized feedback on the closed-loop properties of jointly controllable, jointly observable k-channel linear systems. Channel interactions within such systems are described by means of suitably defined directed graphs.
A. S. Morse, J. P. Corfmat
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Dynamic controllers in linear multivariable systems
Automatica, 1981The theory of pole assignment in multivariable stationary linear systems using a controller of given order is reassessed. Novel proofs, both simpler and more general than hitherto are given, enabling efficient design algorithms to be formulated. Examples of such algorithms are worked out.
BALESTRINO A., CELENTANO, GIOVANNI
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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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Multipurpose controllers for multivariable systems
IEEE Transactions on Automatic Control, 1981The primary purpose of this paper is to outline a new procedure for designing controllers which simultaneously achieve a variety of desired design goals in deterministic, unity feedback, linear multivariable systems. More specifically, we will present a new algorithm for the systematic design of a "three-part" multivariable controller which ...
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Controllability and observability of multivariable systems
IEEE Transactions on Automatic Control, 1971The controllability and observability of linear stationary multivariable control systems is investigated in the frequency domain. If the minimal polynomial of the system is of maximum degree, then a simple test involving mode cancellations determines controllability (observability).
C. Paul, Yen-Long Kuo
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Multivariable State Control Systems [PDF]
The state controller for multivariable processes was designed in chapter 8. Therefore only a few additional comments are made in this chapter. The process equation considered in the deterministic case is $$x\left( {k + 1} \right) = Ax\left( k \right) + Bu\left( k \right)$$ (21.1) $$y\left( k \right) = Cx\left( k \right)$$ (21.2 ...
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Sensitivity in Multivariable Control Systems
Journal of Basic Engineering, 1969Definitions of system sensitivity for linear single variable systems have been extended, in the past, to linear multivariable systems in the form of a sensitivity matrix. The role of the sensitivity matrix in multivariable feedback control systems is studied further in this paper. The sensitivity matrix serves the dual function of governing the effects
C. T. Leondes, W. F. Horton
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A Design Procedure for Multivariable Control Systems
Journal of Dynamic Systems, Measurement, and Control, 1974A design procedure is presented which focuses upon a dynamic compensator of prespecified structural form. The order and feedback matrices of the compensator are first chosen to achieve stability through pole assignment via plant output feedback. The compensator feedforward matrices are then selected to satisfy various steady state and static or dynamic
W. N. Anakwa, A. E. Pearson
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Multivariable Models for Control Systems
IFAC Proceedings Volumes, 1965The determination of a model for a multivariable system is an essential part of the control problem. This paper describes a method by which such a model may be realised and made to self-adjust in sympathy with variations of the system parameters. Special criteria are given for the synthesis of linear models, and a method for using these models in ...
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