Results 11 to 20 of about 4,845 (98)
Algorithms, 2018 This paper focuses on the joint estimation of parameters and time-delays of the multiple-input single-output output-error systems. Since the time-delays are unknown, an effective identification model with a high dimensional and sparse parameter vector is
Junyao You, Yanjun Liu
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Passive identification of multivariable stabilization system elements’ dynamics
Автоматизация технологических и бизнес-процессов, 2020 Increasing domestic automatic control systems competitiveness requires the design work intensification based on the implementation of modern information technologies.
S. I. Osadchy, V. A. Zozulia
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A Supervised Model of Multivariable Control in Quadruple Tank System
Applied Artificial Intelligence, 2023 Aims to develop a precise mathematical model for multi-loop system-based Quadruple Tank Process (QTP) - a challenging task, due to strong interaction between pump inputs and sensor values. Modeling is essential for understanding the behavior of quadruple
Aravindan M +2 more
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Design of robust multi-loop PI controller for improved disturbance rejection with constraint on minimum singular value [PDF]
Archives of Control SciencesDisturbance rejection performance optimization with constraints on robustness for a multivariable process is commonly encountered in industrial control applications.
R. Arun +4 more
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Information, 2014 A mathematical model of electroslag remelting (ESR) process is established based on its technical features and dynamic characteristics. A new multivariable self-tuning proportional-integral-derivative (PID) controller tuned optimally by an improved ...
Jie-Sheng Wang, Chen-Xu Ning, Yang Yang
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Entropy, 2023 The stability and convergence analysis of a multivariable stochastic self-tuning system (STC) is very difficult because of its highly nonlinear structure. In this paper, based on the virtual equivalent system method, the structural nonlinear or nonlinear
Jinghui Pan, Kaixiang Peng, Weicun Zhang
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Algorithms, 2016 This paper discusses the parameter estimation problems of multi-input output-error autoregressive (OEAR) systems. By combining the auxiliary model identification idea and the data filtering technique, a data filtering based recursive generalized least ...
Jiling Ding
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Theoretical and Applied Mechanics Letters, 2022 Data-driven partial differential equation identification is a potential breakthrough to solve the lack of physical equations in complex dynamic systems.
Wenbo Cao, Weiwei Zhang
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Quasi‐conscious multivariate systems [PDF]
Complexity, 2015 Conscious experience is awash with underlying relationships. Moreover, for various brain regions such as the visual cortex, the system is biased toward some states. Representing this bias using a probability distribution shows that the system can define expected quantities.
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Recursive Algorithms for Multivariable Output-Error-Like ARMA Systems
Mathematics, 2019 This paper studies the parameter identification problems for multivariable output-error-like systems with colored noises. Based on the hierarchical identification principle, the original system is decomposed into several subsystems.
Hao Ma +6 more
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