FDA Express Vol. 8, No. 1, Jul. 15, 2013
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Editors: http://em.hhu.edu.cn/fda/Editors.htm
Institute of Soft Matter Mechanics, Hohai University
For contribution: fdaexpress@163.com,
hushuaihhu@gmail.com
For subscription:
http://em.hhu.edu.cn/fda/subscription.htm
PDF Download: http://em.hhu.edu.cn/fda/Issues/FDA_Express_Vol8_No1_2013.pdf
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↑ Latest SCI Journal Papers on FDA
↑ Conferences
International Conference on Fractional Differentiation and Its Applications
(ICFDA*14)
MESA Lab
Presents Fractional Calculus Day @ UCMerced
↑ Books
Control and Optimization with PDE Constraints
↑ Journals
Communications in Nonlinear Science and Numerical Simulation
Journal of Applied Nonlinear Dynamics
↑ Paper Highlight
Pitfalls in single particle tracking in living cells
Quantitative analysis of single particle trajectories: mean maximal excursion method
↑ Websites of Interest
Fractional Calculus & Applied Analysis
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Latest
SCI Journal Papers on FDA
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Title:
A boundary value problem of
fractional
differential equations with anti-periodic type
integral boundary conditions
Author(s): Ahmad, Bashir; Ntouyas, S. K.
Source: JOURNAL OF COMPUTATIONAL ANALYSIS AND APPLICATIONS Volume: 15 Issue: 8
Pages: 1372-1380 Published: DEC 2013
Title:
Analysis and
numerical methods for
fractional
differential equations with delay
Author(s): Morgado, M. L.; Ford, N. J.; Lima, P. M.
Source: JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS Volume: 252 Pages:
159-168 DOI: 10.1016/j.cam.2012.06.034 Published: NOV 2013
Title: Pricing
currency options in the mixed fractional Brownian
motion
Author(s): Sun, Lin
Source: PHYSICA A-STATISTICAL MECHANICS AND ITS
APPLICATIONS Volume: 392 Issue: 16 Pages: 3441-3458 DOI: 10.1016/j.physa.2013.03.055 Published: AUG
15 2013
Title: Superlinearly
convergent algorithms for the two-dimensional space-time Caputo-Riesz fractional diffusion
equation
Author(s): Chen, Minghua; Deng, Weihua; Wu, Yujiang
Source: APPLIED NUMERICAL MATHEMATICS Volume: 70 Pages: 22-41 DOI: 10.1016/j.apnum.2013.03.006 Published: AUG
2013
Title: Improved
approximate methods for calculating frequency response function matrix and
response of MDOF systems with viscoelastic hereditary terms
Author(s): Li, Li; Hu, Yujin; Wang, Xuelin
Source: JOURNAL OF SOUND AND
VIBRATION Volume: 332 Issue: 15 Pages: 3945-3956 DOI: 10.1016/j.jsv.2013.01.043 Published: JUL
22 2013
Title: Dynamic
analysis of a class of fractional-order neural
networks with delay
Author(s): Chen, Liping; Chai, Yi; Wu, Ranchao; et al.
Source: NEUROCOMPUTING Volume: 111 Pages: 190-194 DOI: 10.1016/j.neucom.2012.11.034 Published: JUL
2 2013
Title: Robust
synchronization for a class of fractional-order dynamical
system via linear state variable
Author(s): Li, C.; Xiong, J.; Li, W.; et al.
Source: INDIAN JOURNAL OF PHYSICS Volume: 87 Issue: 7 Pages: 673-678 DOI: 10.1007/s12648-013-0267-7 Published: JUL
2013
Title: Gradient
Estimates of q-Harmonic Functions of Fractional Schrodinger
Operator
Author(s): Kulczycki, Tadeusz
Source: POTENTIAL ANALYSIS Volume: 39 Issue: 1 Pages: 69-98 DOI: 10.1007/s11118-012-9322-9 Published: JUL
2013
Title: Quasi-Compact
Finite Difference Schemes for Space Fractional Diffusion
Equations
Author(s): Zhou, Han; Tian, WenyYi; Deng, Weihua
Source: JOURNAL OF SCIENTIFIC COMPUTING Volume: 56 Issue: 1 Pages: 45-66 DOI: 10.1007/s10915-012-9661-0 Published: JUL
2013
Title: Profile
decompositions and blowup phenomena of mass critical fractional Schrodinger
equations
Author(s): Cho, Yonggeun; Hwang, Gyeongha; Kwon, Soonsik; et al.
Source: NONLINEAR ANALYSIS-THEORY METHODS &
APPLICATIONS Volume: 86 Pages: 12-29 DOI: 10.1016/j.na.2013.03.002 Published: JUL
2013
Title: IIR
approximations to the fractional differentiator/integrator
using Chebyshev polynomials theory.
Author(s): Romero, M; de Madrid, A P; Manoso, C; et al.
Source: ISA transactions Volume: 52 Issue: 4 Pages: 461-8 DOI: 10.1016/j.isatra.2013.02.002 Published: 2013-Jul (Epub
2013 Mar 15)
Title: Enhanced
robust fractional order proportional-plus-integral controller
based on neural network for velocity control of permanent magnet synchronous
motor.
Author(s): Zhang, Bitao; Pi, Youguo
Source: ISA transactions Volume: 52 Issue: 4 Pages: 510-6 DOI: 10.1016/j.isatra.2013.02.003 Published: 2013-Jul (Epub
2013 Mar 08)
Title: Performance
comparison of optimal fractional order hybrid
fuzzy PID controllers for handling oscillatory fractional order processes
with dead time.
Author(s): Das, Saptarshi; Pan, Indranil; Das, Shantanu
Source: ISA transactions Volume: 52 Issue: 4 Pages: 550-66 DOI: 10.1016/j.isatra.2013.03.004 Published: 2013-Jul (Epub
2013 May 07)
Title: An
application of fractional differintegration
to heart rate variability time series.
Author(s): Garcia-Gonzalez, Miguel A; Fernandez-Chimeno, Mireya; Capdevila,
Lluis; et al.
Source: Computer methods and programs in
biomedicine Volume: 111 Issue: 1 Pages: 33-40 DOI: 10.1016/j.cmpb.2013.02.009 Published: 2013-Jul
Title: Finite
element method for two-dimensional time-fractional tricomi-type
equations
Author(s): Zhang, Xindong; Huang, Pengzhan; Feng, Xinlong; et al.
Source: NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL
EQUATIONS Volume: 29 Issue: 4 Pages: 1081-1096 DOI: 10.1002/num.21745 Published: JUL
2013
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Conferences
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International Conference on Fractional Differentiation and Its Applications (ICFDA*14)
June 23-25, 2014, University of Catania, Catania, Italy
The organizing committee of ICFDA*14 extends a cordial invitation to you to come to Catania to meet renowned scholars and practitioners from all over the world.
Scope
The scope of the conference is to present the state of the art on fractional
systems, both on theoretical and application aspects. The growing research and
development on fractional calculus in the areas of mathematics, physics and
engineering, both from university and industry, motivates this international
event gathering and unifying the whole community.
Topics
Major topics include but are not limited on fractional differentiation in:
Acoustic Dissipation, Anomalous diffusion, Applications of fractional systems,
Biomedical Engineering, Computational Fractional Derivative Equations,
Continuous Time Random Walk, Control, Creep, Filters, Fractal Derivative and
Fractals, Fractional Brownian Motion, Geophysics, History dependent Process,
History of Fractional Calculus, Levy Statistics, Modeling and identification,
Non-Fourier Heat Conduction, Nonlocal Phenomena, Phase-Locked Loops, Porous
Media, Power Law, Relaxation, Rheology, Riesz Potential, Signal and Imaging
Processing, Singularities Analysis and Integral Representations for Fractional
Differential Systems, Soft Matter Mechanics, Special Functions and Integral
Transforms Related to Fractional Calculus, Stretched Gaussian, Variational
Principles, Vibration, Viscoelasticity.
Timetable
Invited session submission November 1th, 2013
Regular and invited paper submission November 10th, 2013
Notification of acceptance February 15th, 2014
Final submission March 31th, 2014
Conference June 23th - 25th, 2014
Early registration April 10th, 2014
For more details please refer to:
http://www.icfda14.dieei.unict.it/timetable.html
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Contributed by Prof. YangQuan Chen
http://mechatronics.ucmerced.edu/news/2013/fractional-calculus-day-ucmerced
Fractional calculus (FC) is about differentiation or integration of non-integer orders. The concept of fractional calculus has tremendous potential to change the way we see, model, and control the nature around us. Using integer order calculus, behaviors of many complex systems are being said to be "anomalous" such as "anomalous relaxation", "anomalous diffusion" etc. It has already been known that "anomalous is normal" from observation and modeling point of view if fractional calculus is used. Meanwhile, beneficial uses of the mathematical tool of fractional calculus from engineering point of view are being shown and (hopefully) fractional calculus will become an enabler for new science discoveries.
See the Fractional Calculus Day website for more details.
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Editor: Wojciech Mitkowski , Janusz Kacprzyk ,Jerzy Baranowski
Book Description
This volume presents various aspects of non-integer order systems, also known as
fractional systems, which have recently attracted an increasing attention in the
scientific community of systems science, applied mathematics, control theory.
Non-integer systems have become relevant for many fields of science and
technology exemplified by the modeling of signal transmission, electric noise,
dielectric polarization, heat transfer, electrochemical reactions, thermal
processes, acoustics, etc. The content is divided into six parts, every of which
considers one of the currently relevant problems. In the first part the
Realization problem is discussed, with a special focus on positive systems. The
second part considers stability of certain classes of non-integer order systems
with and without delays. The third part is focused on such important aspects as
controllability, observability and optimization especially in discrete time. The
fourth part is focused on distributed systems where non-integer calculus leads
to new and interesting results. The next part considers problems of solutions
and approximations of non-integer order equations and systems. The final and
most extensive part is devoted to applications. Problems from mechatronics,
biomedical engineering, robotics and others are all analyzed and solved with
tools from fractional systems. This volume came to fruition thanks to high level
of talks and interesting discussions at RRNR 2013 - 5th Conference on
Non-integer Order Calculus and its Applications that took place at AGH
University of Science and Technology in Krak車w, Poland, which was organized by
the Faculty of Electrical Engineering, Automatics, Computer Science and
Biomedical Engineering.
Contents
Preface
Part I Realization Problem
Part II Stability
Part III Controllability, Observability and Optimal Control
Part IV Distributed Parameter Systems
Part V Solutions and Approximations
Part VI Applications
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Control and Optimization with PDE Constraints (International Series of Numerical Mathematics)
Editor: Kristian Bredies , Christian Clason , Karl Kunisch , Gregory Winckel
Book Description
Many mathematical models of physical, biological and social systems involve
partial differential equations (PDEs). The desire to understand and influence
these systems naturally leads to considering problems of control and
optimization. This book presents important topics in the areas of control of
PDEs and of PDE-constrained optimization, covering the full spectrum from
analysis to numerical realization and applications. Leading scientists address
current topics such as non-smooth optimization, Hamilton每Jacobi每Bellmann
equations, issues in optimization and control of stochastic partial differential
equations, reduced-order models and domain decomposition, discretization error
estimates for optimal control problems, and control of quantum-dynamical
systems. These contributions originate from the ※International Workshop on
Control and Optimization of PDEs§ in Mariatrost in October 2011. This book is an
excellent resource for students and researchers in control or optimization of
differential equations. Readers interested in theory or in numerical algorithms
will find this book equally useful.
Contents
An adaptive POD Approximation Method for the Control of Advection-Diffusion
Equations
Generalized Sensitivity Analysis for Delay Differential Equations
Regularity and Unique Existence of Solution to Linear Diffusion Equation with
Multiple Time-fractional Derivative
Nonsmooth Optimization Method and Sparsity
Parareal in Time Intermediate Targets Methods for Optimal Control Problems
Hamilton-Jacobi-Bellman Equations on Multi-domains
Gradient Computation for Model Calibration with Pointwise Observations
Numerical Analysis of POD A-posterior Error Estimation for Optimal Control
Cubature on C1 Spcae
A Globalized Newton Method for the Optimal Control of Fermionic Systems
A Prior Error Estimates for Optimal Control Problems with Constraints on the
Gradient of the State on Nonsmooth Polygonal Domains
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Communications in Nonlinear Science and Numerical Simulation
Volume 18, Issue 12
Regular Articles
A
new linearized compact multisplitting scheme for the nonlinear
convection每reaction每diffusion equations with delay
Qifeng Zhang, Chengjian Zhang
Existence result of solutions to differential equations of variable-order with
nonlinear boundary value conditions
Shuqin Zhang
Group invariant solution for a pre-existing fracture driven by a power-law fluid
in impermeable rock
A.G. Fareo, D.P. Mason
Computation of partially invariant solutions for the Einstein Walker manifolds*
identifying equations
Mehdi Nadjafikhah, Mehdi Jafari
Novel rogue waves in an inhomogenous nonlinear medium with external potentials
Xiao-Fei Wu, Guo-Sheng Hua, Zheng-Yi Ma
On
rogue wave in the Kundu-DNLS equation
Shibao Shan, Chuanzhong Li, Jingsong He
Backbone fractal dimension and fractal hybrid orbital of protein structure
Xin Peng, Wei Qi, Mengfan Wang, Rongxin Su, Zhimin He
Environmental dispersion in a three-layer wetland flow with free-surface
P. Wang, Zi Wu, G.Q. Chen, B.S. Cui
Magnetohydrodynamic free convection flow above an isothermal horizontal plate
Subho Samanta, Abhijit Guha
Statistics of Poincar谷 recurrences in local and global approaches
Vadim S. Anishchenko, Sergey V. Astakhov, Yaroslav I. Boev, Nadezhda I.
Biryukova, Galina I. Strelkova
Controlling unpredictability in the randomly driven H谷non每Heiles system
Mattia Coccolo, Jes迆s M. Seoane, Miguel A.F. Sanju芍n
Approximate controllability of nonlinear fractional dynamical systems
R. Sakthivel, R. Ganesh, Yong Ren, S.M. Anthoni
Models and numerical schemes for generalized van der Pol equations
Yufeng Xu, Om P. Agrawal
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Journal of Applied Nonlinear Dynamics
Volume 2, Issue 2
Stability Boundaries of Period-1 Rotation for a Pendulum Under Combined Vertical
and Horizontal Excitation
B. Horton, S. Lenci, E. Pavlovskaia, F. Romeo, G. Rega, and M. Wiercigroch
Simple Geometric Techniques to Delineate the Location, Extent, and Approximate
Shapes of Attractors in Chaotic Systems
S. Roy Choudhury
Self-Similar Property of Random Signals: Solution of Inverse Problem
Raoul R. Nigmatullin and J.A. Tenreiro Machado
Some Remarks on a Multi Point Boundary Value Problem for a Fractional Order
Differential Inclusion
Aurelian Cernea
Rolling of a Rigid Body Without Slipping and Spinning: Kinematics and Dynamics
A.V. Borisov, I.S. Mamaev, and D.V. Treschev
Influence of Embedded Material on Natural Frequencies of Double Segment Rotating
Disk
Ehsan Sarfaraz and Hamid R. Hamidzadeh
Alternate Models of Replicator Dynamics
Elizabeth N. Wesson and Richard H. Rand
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Pitfalls in single particle tracking in living cells
Ralf Metzler, Yong He, Stas Burov, Eli Barkai
Publication information:
Ralf Metzler, Yong He, Stas Burov, Eli Barkai, Pitfalls in single particle
tracking in living cells, Biophysical Journal, 96(3), 2009, 385a.
http://www.sciencedirect.com/science/article/pii/S0006349508031081
Abstract
An increasing body of evidence for subdiffusion of biopolymers under typical in
vivo conditions has been reported recently. The physical foundation of this
subdiffusion remains unidentified although it is commonly ascribed to molecular
crowding. Single particle tracking provides crucial information on the
mechanisms behind the subdiffusion. In several such experiments the measured
mean squared displacement shows a characteristic scatter (e.g., [1,2]).
Using the widely accepted continuous time random walk framework we demonstrate that pronounced scatter in time averaged quantities such as the mean squared displacement is no artefact but arises naturally from the nonexistence of a characteristic time scale separating microscopic and macroscopic events [3,4]. An expression for the broad distribution of diffusion coefficients in such measurements is derived and confirmed by simulations. The most crucial finding from our theory is that the subdiffusive nature of the particles will be masked in the time averages: What looks like normal diffusion in an experiment may in reality be subdiffusion in an ageing system. Interpretations of the reported data in [1,2] will be discussed. We provide general guidelines to properly intepret single molecule tracking data.
We also argue that ageing properties in biopolymer diffusion in living cells may be advantageous for the accuracy of genetic regulation at minimal concentrations of transcription factors. The physical picture emerging from our theory provides additional support for a more local picture of gene regulation and confirms the importance of colocalisation in the genome.
[1] I. Golding and E.C. Cox, Phys. Rev. Lett. 96, 098102
(2006).
[2] I.M. Tolic-Noerrelykke et al, Phys. Rev. Lett. 93, 078102 (2004).
[3] Y. He, S. Burov, R. Metzler, and E. Barkai, Phys. Rev. Lett. 101, 058101
(2008).
[4] M.A. Lomholt, I.M. Zaid, and R. Metzler, Phys. Rev. Lett. 98, 200603 (2007).
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Quantitative analysis of single particle trajectories: mean maximal excursion method
Vincent Tejedor. Olivier B谷nichou, Raphael Voituriez, Ralf Jungmann, Friedrich Simmel, Christine Selhuber-Unkel, Lene B. Oddershede, Ralf Metzler
Publication information:
Vincent Tejedor. Olivier B谷nichou, Raphael Voituriez, Ralf Jungmann, Friedrich
Simmel, Christine Selhuber-Unkel, Lene B. Oddershede, Ralf Metzler. Quantitative
Analysis of Single Particle Trajectories: Mean Maximal Excursion Method.
Biophysical Journal, 98(7), 2010, 1364-1372.
http://www.sciencedirect.com/science/article/pii/S0006349509060974
Abstract.
An increasing number of experimental studies employ single particle tracking
to probe the physical environment in complex systems. We here propose and
discuss what we believe are new methods to analyze the time series of the
particle traces, in particular, for subdiffusion phenomena. We discuss the
statistical properties of mean maximal excursions (MMEs), i.e., the maximal
distance covered by a test particle up to time t. Compared to traditional
methods focusing on the mean-squared displacement we show that the MME analysis
performs better in the determination of the anomalous diffusion exponent. We
also demonstrate that combination of regular moments with moments of the MME
method provides additional criteria to determine the exact physical nature of
the underlying stochastic subdiffusion processes. We put the methods to test
using experimental data as well as simulated time series from different models
for normal and anomalous dynamics such as diffusion on fractals, continuous time
random walks, and fractional Brownian motion.
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