Results 1 to 10 of about 2,690,470 (220)
Disturbance-Observer-Based U-Control (DOBUC) for Nonlinear Dynamic Systems [PDF]
Entropy, 2021 U-model, which is a control-oriented model set with the property of generally facilitate nonlinearity dynamic inversion/cancellation, has been introduced to the Disturbance Observer-Based control (DOBC) methods to improve the performance of the nonlinear
Ruobing Li +4 more
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Multisensor Estimation Fusion with Gaussian Process for Nonlinear Dynamic Systems [PDF]
Entropy, 2019 The Gaussian process is gaining increasing importance in different areas such as signal processing, machine learning, robotics, control and aerospace and electronic systems, since it can represent unknown system functions by posterior probability.
Yiwei Liao +3 more
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IEEE Transactions on Neural Networks and Learning Systems, 2022 The increased complexity and intelligence of automation systems require the development of intelligent fault diagnosis (IFD) methodologies. By relying on the concept of a suspected space, this study develops explainable data-driven IFD approaches for ...
Hongtian Chen +4 more
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Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study
Journal of Computing and Information Science in Engineering, 2022 Surrogate models play a vital role in overcoming the computational challenge in designing and analyzing nonlinear dynamic systems, especially in the presence of uncertainty.
Ying Zhao +4 more
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Minimality of dynamic input-output decoupling for nonlinear systems [PDF]
, 1991 In this note we study the strong dynamic input-output decoupling problem for nonlinear systems. Using an algebraic theory for nonlinear control systems, we obtain for a dynamic input-output decouplable nonlinear system a compensator of minimal dimension ...
Huijberts, H.J.C. +2 more
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NARX Deep Convolutional Fuzzy System for Modelling Nonlinear Dynamic Processes
Mathematics, 2023 This paper presents a new approach for modelling nonlinear dynamic processes (NDP). It is based on a nonlinear autoregressive with exogenous (NARX) inputs model structure and a deep convolutional fuzzy system (DCFS).
Marjan Golob
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Dynamics of Nonlinear Systems [PDF]
The Scientific World Journal, 2014 In the last few decades, theory of dynamical systems has become a rapidly growing area of mathematics and attracted many researchers. This theory is an important and well-established branch of the modern mathematics. The reason lies in the fact that the study of dynamical systems not only has an important theoretical interest, but also is motivated by ...
Maoan Han +3 more
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Electrical engineering & Electromechanics, 2022 Aim. Development of the method of limitation of dynamic loads of nonlinear electromechanical systems under state vector robust control. Methodology.
B. I. Kuznetsov +5 more
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Extremum seeking control of nonlinear dynamic systems using Lie bracket approximations
International Journal of Adaptive Control and Signal Processing, 2020 In this article, we consider extremum seeking problems for a general class of nonlinear dynamic control systems. The main result of the article is a broad family of control laws which optimize the steady‐state performance of the system.
V. Grushkovskaya, C. Ebenbauer
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Buildings, 2022 A structural design methodology for retrofitting weakened frame systems following earthquakes is developed and presented. The design procedure refers to frame systems in their degraded strength and stiffness states and restores their dynamic performance ...
Assaf Shmerling, Matthias Gerdts
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