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Multivariable Structure of Fuzzy Control Systems

IEEE Transactions on Systems, Man, and Cybernetics, 1986
Application of fuzzy set theory to the design of control systems has led to interest in the description of multivariable fuzzy systems. The authors present an idea for the solution of multivariable fuzzy equations by decomposition of a multivariable fuzzy system into a set of one- dimensional systems. The authors use the block diagram representation of
Madan M. Gupta   +2 more
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Adaptive Control of Multivariable Systems

1985
Abstract : During this period the Principal Investigator wrote six technical papers. Titles are: New directions in parameter adaptive control, Adaptive stabilization of linear systems with unknown high frequency, A smooth algorithm for adaptive stabilization of a discrete linear system with an unknown high frequency gain, A 4(n+1)-dimensional model ...
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Relay Experiments for Multivariable Systems

2005
This chapter looks at various aspects of relay experiments for multivariable ...
Moradi, M., Katebi, M.R.
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Building Multivariate Systems Biology Models

Analytical Chemistry, 2012
Systems biology methods using large-scale "omics" data sets face unique challenges: integrating and analyzing near limitless data space, while recognizing and removing systematic variation or noise. Herein we propose a complementary multivariate analysis workflow to both integrate "omics" data from disparate sources and analyze the results for specific
Kirwan, G.M.   +7 more
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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   +3 more
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The stability of multivariable systems

IEEE Transactions on Automatic Control, 1972
The stability of any multivariable linear time-invariant control system can always be determined by existing methods. However, the designer needs to know how stability is affected by changes in loop gains and other parameters. This leads to a requirement for decomposing the stability problem, if possible, into a number of subproblems.
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Multivariable Systems

2020
Jose A. Romagnoli, Ahmet Palazoglu
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On the Control of Invertible Multivariable Nonlinear Systems

Journal of Systems Science and Complexity
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multivariable CAR-like System Identification with Multi-innovation Gradient and Least Squares Algorithms

International Journal of Control, Automation and Systems, 2023
Jian Pan
exaly  

ON THE ASSESSMENT OF MULTIVARIATE MEASUREMENT SYSTEMS

2011
Measurement systems analysis (MSA) is typically conducted on a single quality characteristic. Multiple characteristics processes are by now so common that studies concerning measurement systems analysis cannot be restricted to the univariate framework. This paper deals with the precision of multivariate measurement systems.We discuss three multivariate
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