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Automation & Control Systems
Li Zhang, Kang Li, Dajun Du, Yihuan Li, Minrui Fei
Summary: This paper presents a regularised fast recursive algorithm (RFRA) to accurately identify the fraction model structure and unknown model parameters. The algorithm transforms the fraction form into a linear combination of nonlinear model terms and uses regularization to offset the bias induced by the transformation. The proposed method selects the model terms based on their contributions to the cost function and recursively identifies the coefficients without explicitly solving the inverse matrix.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Peng Wang, Xiaoling Liang, Kenan Yong, Mou Chen
Summary: This paper presents a non-recursive tracking control method for systems with mismatched disturbances. By integrating extended state observers (ESO), the uncertainties and their derivatives can be accurately estimated within finite time. A non-recursive control design framework is proposed to ensure finite-time stability, which eliminates the need for a series of virtual controllers. Two forms of time-varying scaling gain are proposed to improve tracking performance. Numerical example results are provided to demonstrate the effectiveness of the proposed control scheme.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Construction & Building Technology
A. S. Nisha, C. S. Manohar
Summary: This paper examines the problem of dynamic state estimation in vibrating systems displaying stiff behavior. The authors propose implicit methods and modifications to existing filtering algorithms to address the difficulties posed by the explicit forms of process equations. They demonstrate the benefits of these approaches using examples of systems with inelasticity, limit cycle oscillations, and geometric nonlinearities.
STRUCTURAL CONTROL & HEALTH MONITORING
(2022)
Article
Computer Science, Information Systems
Yang Yang, Yue Qian
Summary: This paper presents a distributed containment output feedback control strategy for networked nonlinear multi-agent systems, utilizing an event-triggered communication mechanism. The strategy ensures the containment of all followers by the leaders while introducing a nonlinear gain function and a recursive sliding-mode surface to overcome drawbacks, ultimately achieving bounded containment errors.
INFORMATION SCIENCES
(2021)
Article
Engineering, Electrical & Electronic
Huanqing Wang, Ke Xu, Peter Xiaoping Liu, Junfei Qiao
Summary: This paper investigates the adaptive fast finite-time tracking control problem for a class of uncertain nonlinear strict-feedback systems using backstepping technique and fast finite-time stable theory. A fuzzy-based adaptive fast finite-time output tracking control approach is presented to ensure the convergence of tracking error and boundedness of closed-loop signals. The developed control method's validity is proven through simulation results.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
(2021)
Article
Engineering, Mechanical
Dario Richiedei
Summary: This paper introduces a novel adaptive model-based filtering technique called Adaptive Shaper-Based Filter (ASBF) for dynamic mass measurement through load cells. The technique utilizes a simplified dynamic model and filter output to calculate the correct timings and amplitudes of impulses to compensate for the underdamped behavior of the load cell, ensuring rapid settling time.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2022)
Article
Automation & Control Systems
Yundi Chu, Juntao Fei, Shixi Hou
Summary: This paper presents a dual-loop recursive fuzzy neural network (DRFNN) based adaptive controller for a type of nonlinear dynamic systems. Compared to conventional FNN, this controller allows arbitrary parameter setting and achieves higher approximation accuracy and learning speed.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2023)
Article
Multidisciplinary Sciences
V. N. Stavrou, I. G. Tsoulos, Nikos E. Mastorakis
Summary: This paper investigates the transfer functions of one-dimensional and two-dimensional filters, focusing on finite impulse response and infinite impulse response filters. Various methods such as the Windows method, bilinear transformation method, designing 2-D filters from 1-D functions, and using optimization techniques for 2-D filter design are presented.
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Computer Science, Information Systems
Igor Skrjanc
Summary: This paper proposes a new approach for online identification of interval fuzzy models, which evolves model structures, adjusts parameters, and calculates upper and lower bounds simultaneously. The method shows great potential in applications such as online monitoring, fault detection, and control of dynamic systems. It is characterized by the integration of structural and parametric uncertainties into the fuzzy interval models.
INFORMATION SCIENCES
(2021)
Article
Construction & Building Technology
Caigui Huang, Quan Gu, Surong Huang
Summary: The study extends an efficient linear SSI analysis method to realistic nonlinear SSI systems, using fitted frequency-dependent compliance functions to represent flexible foundations on half-space nonlinear soil. The method is implemented on an open-source FE software framework, OpenSees, and investigated for seismic response analyses of typical soil-foundation-structure systems, showing significantly improved speed and accuracy compared to traditional methods.
ADVANCES IN STRUCTURAL ENGINEERING
(2021)
Article
Computer Science, Information Systems
Bo Jiang, Hongyu Gao, Fei Han, Hongli Dong
Summary: This paper proposes an innovative recursive filtering algorithm for a class of nonlinear systems subject to multiplicative noises and measurement outliers, with a self-adaptive saturation function introduced to mitigate the influence of outliers on filter performance. The filter gain ensures that the trace of the filtering error covariance matrix is minimized by solving the constructed Riccati-like difference equations, and the exponential boundedness of the filtering error in the sense of mean square is also analyzed.
SCIENCE CHINA-INFORMATION SCIENCES
(2021)
Article
Mathematics, Applied
Zhi-Hui Zhang, Li-Ying Hao, Mingjie Guo
Summary: This paper presents a fault detection method for a class of uncertain nonlinear systems with unmatched nonlinear fault functions and disturbances, utilizing a recursive FD observer and introducing predetermined output estimation accuracy-dependent nonnegative functions. By combining Lyapunov functions, it is shown that the residual signal is within a tight threshold before fault occurrence, demonstrating the validity of the proposed approach through simulation examples.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Astronomy & Astrophysics
Shunsuke Hozumi, Keigo Nitadori, Masaki Iwasawa
Summary: A fast N-body code, SCF-FDPS, has been developed to simulate a stellar disk embedded in a live dark matter halo. The code combines a self-consistent field (SCF) code with a parallelized tree code using the Framework for Developing Particle Simulators (FDPS) library. The SCF-FDPS code calculates the self-gravity of the halo and the gravitational interactions between the disk and halo particles. It achieves a speedup of at least 3 times compared to a tuned tree code, and its central processing unit cost scales almost linearly with the total number of particles.
ASTROPHYSICAL JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Jimei Li, Feng Ding
Summary: This study proposes a kernel-based nonlinear observer canonical form to represent and analyze nonlinear phenomena, and develops a nonlinear state observer-based separable hierarchical forgetting gradient algorithm for simultaneous state and parameter estimation.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
Article
Engineering, Mechanical
Joar Axas, Mattia Cenedese, George Haller
Summary: In this study, we propose a fast method for nonlinear data-driven model reduction of dynamical systems onto their slowest nonresonant spectral submanifolds (SSMs). We reformulate the tasks as explicit problems under simplifying assumptions and provide a novel method for timelag selection. Experimental results demonstrate that our alternative approach yields accurate and sparse models for essentially nonlinear dynamics on both numerical and experimental datasets.
NONLINEAR DYNAMICS
(2023)
Article
Physics, Multidisciplinary
J. H. van Hateren
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Biology
J. H. van Hateren
THEORY IN BIOSCIENCES
(2015)
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Humanities, Multidisciplinary
J. H. van Hateren
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Computer Science, Cybernetics
J. H. van Hateren
BIOLOGICAL CYBERNETICS
(2015)
Article
History & Philosophy Of Science
J. H. van Hateren
BIOLOGY & PHILOSOPHY
(2015)
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Meteorology & Atmospheric Sciences
J. H. van Hateren
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Biology
J. H. van Hateren
ORIGINS OF LIFE AND EVOLUTION OF BIOSPHERES
(2013)
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Computer Science, Cybernetics
J. H. van Hateren
BIOLOGICAL CYBERNETICS
(2019)
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History & Philosophy Of Science
J. H. van Hateren
Summary: The text constructs a specific system that demonstrates the feasibility of strong emergence, generating a novel and autonomous cause through targeted and cyclical use of randomness, and relying on sustained evolution through natural selection.
Article
Philosophy
J. H. van Hateren
Summary: The theory proposed a naturalistic theory of intentionality, different from previous evolutionary and tracking theories. It suggests that intentionality is constructed through a series of evolvable refinements and originates from an internal process that estimates an organism's fitness. Intentional components can point to mistaken or non-existing entities, and adding a means of communication allows pointing to fully abstract entities.
Article
Philosophy
J. H. van Hateren
PHENOMENOLOGY AND THE COGNITIVE SCIENCES
(2015)
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Computer Science, Artificial Intelligence
H. P. Snippe, J. H. van Hateren
NEURAL COMPUTATION
(2007)
Meeting Abstract
Ophthalmology
H. P. Snippe, J. H. van Hateren
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Ophthalmology
J. H. van Hateren, H. P. Snippe
