Results 21 to 30 of about 278,163 (268)
Mathematics, 2019 This paper is concerned with the identification problem for multivariable equation-error systems whose disturbance is an autoregressive moving average process. By means of the hierarchical identification principle and the iterative search, a hierarchical
Lijuan Wan +3 more
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Design of Multivariable Control System of a Distillation Tower via Simulation Using MATLAB/Simulink
Tikrit Journal of Engineering Sciences, 2019 This paper deals with the multivariable control system of the distillation tower by applying multi-structures in MATLAB/Simulink for a binary mixture of benzene and toluene.
Duraid F. Ahmed, Mohanad Y. Nawaf
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BMC Immunology, 2021 Background Although the onset of inflammatory cascades may profoundly influence the nature of antibody responses, the interplay between inflammatory and humoral (antibody) immune markers remains unclear.
Aida Santaolalla +8 more
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Improving of Multivariable PI Controller with a High Gain Structure for an Irregular System by Genetic Algorithm [PDF]
Journal of Intelligent Procedures in Electrical Technology, 2015 This paper describes an optimal design for multivariable PI controller with a high gain structure for an irregular system by genetic algorithm. PI controllers with a high gain structure leads to the asymptotic decomposition of the fast and slow modes in ...
Seyyed Abed Hosseini +1 more
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Fractal and FractionalWithin biomedical engineering, there has been significant collaboration among clinicians, control engineers, and researchers to tailor treatments to individual patients.
Erwin T. Hegedüs +3 more
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Takagi-Sugeno Neuro-Fuzzy Modeling of a Multivariable Nonlinear Antenna System
The Journal of Engineering Research, 2005 This article investigates the use of a clustered based neuro-fuzzy system to nonlinear dynamic system modeling. It is focused on the modeling via Takagi-Sugeno (T-S) modeling procedure and the employment of fuzzy clustering to generate suitable initial ...
E. A. Al-Gallaf
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FUZZY CONTROL FOR MULTIVARIABLE SYSTEMS
IFAC Proceedings Volumes, 1983 Abstract In this paper a fuzzy control algorithm for regulator control of multivariable systems based on a state space model of the system is introduced. Its application to several linear systems is illustrated and compared with systems controlled by means of linear feedback laws as obtained via an INA-design or linear output feedback.
A. Shakouri +3 more
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Maximally Robust Controllers for Multivariable Systems [PDF]
SIAM Journal on Control and Optimization, 2000 The problem of designing an internal stabilizing controller \(K\) which stabilizes \(G\) and \(G+\Delta\) for all \(\Delta\)'s with \(\|\Delta\|< r\) is a deeply studied problem, and it is well known how to design \(K\) and what is the largest radius \(r\). The authors show that there is a worst case direction in the maximal ball of uncertainties, i.e.,
Gungah, SK, Halikias, GD, Jaimoukha, IM
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Simultaneous Robust, Decoupled Output Feedback Control for Multivariate Industrial Systems
IEEE Access, 2018 This paper proposes a simultaneous robust decoupled output feedback control approach for multivariate industrial processes with parameter uncertainties.
Pengwei Li, Xu Yang, Yuri A. W. Shardt
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Phase Transition of Multivariate Polynomial Systems [PDF]
Mathematical Structures in Computer Science, 2007 A random multivariate polynomial system with more equations than variables is likely to be unsolvable. On the other hand, if there are more variables than equations, the system has at least one solution with high probability. In this paper we study in detail the phase transition between these two regimes, which occurs when the number of equations ...
Giordano Fusco, Eric Bach 0001
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