Results 241 to 250 of about 239,274 (300)
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The multivariable nature of multivariable feedback systems
The 22nd IEEE Conference on Decision and Control, 1983The purpose of this paper is to discuss some properties of multivariable systems which have no analog in scalar systems.
J. Freudenberg, D. Looze
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Multivariable Control System Design Algorithm
Journal of Guidance and Control, 1980The theory and associated numerical techniques for the Multiple Input Multiple Output Compensator Improvement Program are presented. This algorithm is applicable to the design of the feedback compensation matrix for linear time-invariant control systems with plants possessing multiple control inputs and multiple outputs. The algorithm discussed in this
Gresham, L. Lynn +2 more
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PARAMETRIZATIONS FOR MULTIVARIABLE ADAPTIVE SYSTEMS
IFAC Proceedings Volumes, 1983Abstract 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, 1978The 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, 1992Bidiagonal 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, 1975Report 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, 1970A 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, 1994This 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
2004In 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 +3 more
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On multivariate genetic systems
2009 IEEE International Conference on Fuzzy Systems, 2009We 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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