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Identification of Multiple Input-multiple Output Non-linear System Cement Rotary Kiln using Stochastic Gradient-based Rough-neural Network [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 Because of the existing interactions among the variables of a multiple input-multiple output (MIMO) nonlinear system, its identification is a difficult task, particularly in the presence of uncertainties.
Gh. Ahmadi, M. Teshnelab
doaj +2 more sources
Machines, 2021 This paper focuses on the nonlinear system identification problem, which is a basic premise of control and fault diagnosis. For Hammerstein output-error nonlinear systems, we propose an auxiliary model-based multi-innovation fractional stochastic ...
Chen Xu, Yawen Mao
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Energies, 2021 Biorefining and biorefineries are the future of industry and energy. It is still a long way to complete its implementation, but small biorefineries focused mainly on the production of fuels and energy are more and more frequent in rural areas and large ...
Mariusz Adamski +3 more
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Journal of Advances in Modeling Earth Systems, 2021 Geophysical models make predictions relying on parameter values to be estimated from data. However, existing methods are costly because they require either many runs of the complex geophysical model or to implement an adjoint model.
Clement Aldebert +4 more
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Identification and Stochastic Optimizing the UAV Motion Control in Turbulent Atmosphere
Volume 02 Issue 02, 2021 In a class of diffusion Markov processes, we formulate a problem of identification of nonlinear stochastic dynamic systems with random parameters, multiplicative and additive noises, control functions, and the state vector at a final time moment.
Y. Somov, N. Rodnishchev, T. Somova
semanticscholar +1 more source
Combined system of extreme control of mineralized water dilution in river basins
Меліорація і водне господарство, 2021 The theory of combined systems of extreme control, which is used in technical systems, was developed and adapted in socio-ecological-economic systems. For example, river basins are such systems.
P. I. Kovalchuk +3 more
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Mathematical control of complex systems 2013 [PDF]
, 2014 Mathematical control of complex systems have already become an ideal research area for control engineers, mathematicians, computer scientists, and biologists to understand, manage, analyze, and interpret functional information/dynamical behaviours from ...
Dong, H +5 more
core +6 more sources
Applied Sciences, 2023 Much effort has been devoted towards the identification of brain areas recruited during driving—as one of the most common motor skills of human beings. However, how driving experience impacts on the brain’s intrinsic functional architecture has not been ...
Huilin Wei +5 more
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Mathematics, 2022 This paper researches the issue of the finite-time combination-combination (C-C) synchronization (FTCCS) of fractional order (FO) chaotic systems under multiple stochastic disturbances (SD) utilizing the nonsingular terminal sliding mode control (NTSMC ...
Weiqiu Pan +4 more
semanticscholar +1 more source
On the Computation of Derivatives within LD Factorization of Parametrized Matrices
Известия Иркутского государственного университета: Серия "Математика", 2018 The paper presents a new method for calculating the values of derivatives in the LD factorization of parametrized matrices, based on the direct procedure for the modified weighted Gram-Schmidt orthogonalization.
Yu. V. Tsyganova, A. V. Tsyganov
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