Results 61 to 70 of about 4,845 (98)

PARAMETRIZATIONS FOR MULTIVARIABLE ADAPTIVE SYSTEMS

IFAC Proceedings Volumes, 1983
Abstract This paper describes algorithms for model reference adaptive control of linear multivariable systems. A survey of recent work on MIMO direct adaptive control is presented, focusing on the general case of processes which are not decouplable by static state feedback.
J.M. Dion, L. Dugard
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A multivariate data reduction system

Journal of Medical Systems, 1978
The problem of predictive diagnosis based on laboratory data is approached from a mathematical standpoint. A descriptive system is introduced which examines the current information about a clinical problem and identifies best predictors of the problem.
J R, Beck, H M, Rawnsley
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Bidiagonal realization for multivariable systems

International Journal of Systems Science, 1992
Bidiagonal realization was first introduced by Policastro (1980) for SISO linear systems. A more general approach is presented here that allows definitions and computational procedures in its determination to apply also to the case of MIMO systems. A cyclic systems are also considered, i.e. systems requiring a block bidiagonal (derogatory) matrix to be
BLANCHINI, Franco, POLICASTRO M.
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Multivariable technological system

Physics in Technology, 1975
Report on Multivariable technological system, 16-19 September 1974 at the University of Manchester.
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On multivariable linear systems

IEEE Transactions on Automatic Control, 1970
A general result in linear system theory concerning the controllability and observability of multi-input multi-output systems is presented. Specifically, it is shown that any controllable observable linear system can be made controllable from any input and observable from any output using output feedback.
null Chai Ding, F. Brasch, J. Pearson
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Multivariate analysis and expert systems

Scandinavian Journal of Clinical and Laboratory Investigation, 1994
This review will address selected multivariate methods and explain the basic principles of expert systems and discuss how multivariate techniques and expert systems may interact.
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Designs for Multivariable Systems

2004
In Chapters 3 and 4, we developed adaptive state feedback and output feedback actuator failure compensation control schemes for single-output linear time-invariant systems with possible failures of redundant actuators whose effect on the system dynamic behavior is similar (so that an equal-actuation (or proportional actuation, see (1.15)) scheme for ...
Gang Tao, Shuhao Chen, Xidong Tang, Suresh M. Joshi   +3 more
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On multivariate genetic systems

2009 IEEE International Conference on Fuzzy Systems, 2009
We take into account the problem of extending the Univariate Marginal Distribution Genetic Algorithm (UMDGA) modeling and analysis to the multivariate framework. In partic­ular, we introduce the basic general concepts and mathematical formalism to devise genetic algorithms useful to solve problems involving dependencies among genes.
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Multivariable control system synthesis

Transactions of the American Institute of Electrical Engineers, Part II: Applications and Industry, 1958
An important problem in the field of multivariable control systems is the design of suitable feedback and series compensation elements which, when added to a given system, result in an over-all system with improved characteristics. This improvement may apply to the behavior of the controlled variables, to the disturbance response of the system, or to ...
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Multivariable System Laboratory Experiment

International Journal of Electrical Engineering & Education, 1984
A laboratory experiment, designed as a teaching aid for courses on multivariable control systems is described. This involves simulating a two-input/two-output system on a small 6-amplifier analogue computer. The effects of interaction, pole and zero shifting can be observed.
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