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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
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Theory of System Identification and Adaptive Control for Stochastic Systems *
IFAC Proceedings Volumes, 1988 Abstract This paper presents a series of theoretical results on parameter identification and adaptive control for discrete-time stochastic feedback control systems. Without a use of persistent excitation condition the unknown coefficients of the system are consistently estimated by use of the extended least squares (ELS) and the stochastic gradient ...
Han-Fu Chen
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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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Stages and main tasks of the century-long control theory and system identification development
International Scientific Technical Journal "Problems of Control and Informatics", 2023 The article provides a review of the mathematical description of the dynamics of continuous and discrete linear stationary systems and objects, used at the development stage of the classical theory of automatic control in the form of mathematical models ...
V. Romanenko, V. Gubarev
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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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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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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
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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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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
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