DR QUAN-FANG WANG

QUAN-FANG WANG

Ph.D. in Mathematics and Material Sciences, Kobe University , Kobe 657-8501 Japan.

M. Eng. in Systems and Computer Science , Kobe University , Kobe 657-8501 Japan

B.S. in Applied Mathematics, TianJin University, Tianjin 300072, China

RESEARCH INTERESTS

Distributed Parameter Systems Quantum Systems Control

Identification Problem Neural Networks

Partial Differential Equations Numerical Approximation

MERRY CHRISTMAS AND WONDERFUL NEW YEAR!

SAGE Thanks

Dr. Quan-Fang Wang was awarded the Master, Doctor Degrees in Computer and System Sciences,Mathematical and Material Sciences at Kobe University, Japan,1999, 2002,respectively. Via Chinese Academy of Sciences, she worked with The Chinese University of Hong Kong 2004.

She is on the Marquis Who's Who in the World (28th edition) 2011, (31st edition) 2014, (32nd edition) 2015.

BOOKS PUBLICATIONS*

Quan-Fang Wang, Book: Identification in Inverse Problems, Lambert Academic Publishing. ISBN 978-3-659-70920-3, May 2015.

Blurb/Shorttext:

Two identification issues in inverse problems discussed in this monograph. One is identifying parameters for a class abstract parabolic partial differential equations on Lipschitz continuity. In varational method framework at (complex) Hilbert spaces, applying theoretic results to Hopfield neural network; Cahn-Hilliard equation; Klein-Gordon-Schrodinger equation. Another is time independent coefficient inverse, using Taylor expansion to construct approximate polynomial for convexification approach in global convergent algorithm for 2D parabolic problems. In recovery, determining and reconstructing of system profile, property or characterization, this book captured general issues to identify unknown factors. Proposed abstract theory, bi-quadratic polynomial methodology can be developed to elliptic/hyperbolic issues, or extended to 3D. Rest work focus on time-spatial wise coefficients inverse. To be practical applied to a broad diverse problems in a variety disciplinary. These kinds of behaviors to do certification (e.g. DNA) just like detector to find mystery from witness or doctor to seek sick from symptoms, delighted and stimulated. A great interest would be made sure in the future inverse problems.

ebook $29.99

Quan-Fang Wang, Book: Optimal Control for Cahn-Hilliard Issues, LAMBERT Academic Publishing. ISBN 978-3-659-17742-2. Mar. 19, 2014.

Blurb/Shorttext:

A unified and systematic optimal control theory for nonlinear Cahn-Hilliard equation is perfectly established by the means of distributed control, boundary control and initial control for abstract integral cost function and quadratic cost function in the framework of variational method in Hilbert space under weaker assumptions on exponent of nonlinearity. Computational approach is configured for semi-discrete algorithm (time-continuous, spatial discrete), and is performed using finite element method and updated conjugate gradient method to one-dimensional distributed control case. Parameter identification is slightly touched for unknown parameters appeared at damped and dissipative C-H equation. According to introductory function analysis and physical background, a path way from applied mathematics to control theory is in this monograph for solidly supporting a true solution of optimal control to a broad class binary systems describing by Cahn-Hilliard equation.

ebook $22.99

Blurb/Shorttext:

In this work, we have studied the quadratic cost optimal control problems and their numerical analysis of nonlinear parabolic distributed parameter systems. After established the fundamental existence and uniqueness results, we have developed the nonlinear optimal control theory for the equations having uniform Lipschitz continuous nonlinearity. Then we have applied the theoretical results to practical nonlinear parabolic partial differential equations including reaction-diffusion equations, diffusion Hopfield neural network equations. Furthermore, numerical evidences for these issues have also been solved by using variational method and finite element approach.

Paper Book € 49.00

Blurb/Shorttext:

This monograph presented recent years cutting-edge research papers on applied mathematics and its related fields, such as computer science, physics, chemistry and so forth. Optimal control theory had been applied to neural networks, quantum systems (e.g. Klein-Gordon-Schrodinger equation, Klein-Gordon-Maxwell equation, meson exchange effect, nuclear reaction,etc) as well as inverse problems. Especially, the corresponding computational approach is adequately executed together with resultant theoretical conclusions for interpreting each other. The inherent connection with realistic issues would become a promising direction in future insight. It would be quite interesting to develop the interdisciplinary research to a wide class areas.

ebook $39.99

PAPERS PUBLICATIONS*

Quan-Fang Wang, Parameters identification problem of distributed system given by Cahn-Hilliard equations, Int. J. Pure Appl.Math., 22 (3), 311--327,2005.

Quan-Fang Wang, Quantum optimal control of nonlinear dynamics systems described by Klein-Gordon-Schrodinger equations, Proceeding of American Control Conference 2006, 1032-1037, 2006.

Quan-Fang Wang, Optimal Control for Nonlinear Cahn-Hilliard Equations with Numerical Realization, Poster, Conference Advanced in Control of PDEs,University of Maryland, USA, 2006.10.

Quan-Fang Wang, Developed identification of coefficient inverse issue for 2D parabolic model by boundary pointwise observation,Hokkaido University Technical Report Series in Mathematics, p.91, Japan, 2006.

Quan-Fang Wang, Shin-ichi Nakagiri, Numerical solutions of distributed diffusion Hopfield neural network equations, Applied Mathematics and Computation, Vol. 174 (2), 1343-1362, 2006.

Quan-Fang Wang, Global convergent algorithm for parabolic coefficient inverse problems,Proceeding of Differential & difference equations and applications, 1109--1119,2006.

Quan-Fang Wang, Numerical approximation of optimal control for distributed diffusion Hopfield neural networks, International Journal of Numerical Method in Engineering, Vol. 69 (3) , 443-468,2007.

Quan-Fang Wang, Theoretical and computational issues of optimal control for distributed Hopfield neural network equations with diffusion term, SIAM Journal on Scientific Computing 29 (2) , 890-911,2007.

Quan-Fang Wang, Quantum optimal control of Klein-Gordon Schrodinger dynamics in the presence of disturbances and uncertainties, Gordon Research Conference Quantum Control in Light and Matter, 2007.

Quan-Fang Wang, C. Cao, Control problem for nonlinear systems given by Klein-Gordon-Maxwell equations with electromagnetic field, Proceeding of 46thCDC, 6370-6375, 2007.

Quan-Fang Wang, Single particle quantum controlling in Yukawa interaction,European Science Foundation research conference Chemical Control with Electrons and Photons, Poster, Austria, 2008.11.

Quan-Fang Wang , Theoretical issue of controlling nucleus in Klein-Gordon-Schroinger dynamics with perturbation in control field, Applied Mathematics and Computation 206(1), 276-289, 2008.

Quan-Fang Wang, Computation issue of pointwise controls for diffusion Hopfield neural network system, Applied Mathematics and Computation 207(1), 148-163,2009.

Q. F. Wang, Quantum optimal control of nuclei in the presence of in electric field, IET Control Theory & Application 3(9), 1175-1182, 2009.

Quan-Fang Wang, C. Cao, J. Luo, Quantum optimal control on meson exchange effect, ICCA2009. Proceeding of IEEE International Conference on Control and Automation, 2200-2204,2009.

Quan-Fang Wang, C. Cao, Quantum Numerical Optimal Control of Nucleon and Meson Dissipative Dynamics Model, Proceeding European Control Conference 168-172,2009.

Quan-Fang Wang,V. P. Belavkin, Quantum control for Bose Einstein Condensates, 4th International Scientific Conference on Physics and Control, Italy,2009.9.

Quan-Fang Wang, Quantum control in ring/corral at matter surface,238th American Chemistry Society National Meeting (Fall), Poster, 2009.8.

Quan-Fang Wang, Quantum Control in Nuclear Reaction, International Journal of Modern Physics E, 19 (03), 393-406, 2010.

Quan-Fang Wang, Boundary Pointwise Control for Diffusion Hopfield Neural Network , International Journal of Nanotechnology and Molecular Computation (IJNMC),2 (1), 13-29, 2010.

Quan-Fang Wang, Optimal Distributed Control of Nonlinear Cahn-Hilliard Systems with Computational Realization, Journal of Mathematics Sciences 177(3), 440-458,2011.

Quan-Fang Wang, Bi-quadratic polynomial approach for global convergent algorithm in high dimensions coefficient inverse problems, Journal of Physics: Conference series 290, p. 012015, 2011.

Quan-Fang Wang, Viacheslav P. Belavkin, Quantum control for Bose-Einstein-Condensates with demonstration, Cybernetic And Physics 1(2), 144-153, 2012. [PDF]

Quan-Fang Wang, Shin-ichi Nakagiri, Sensitivity of Optimal Control for Diffusion Hopfield Neural Network in the Presence of Perturbation, Applied Mathematics and Computation 219, 3793-3808, 2012. [PDF]

Quan-Fang Wang, Quantum controlling for Yukawa interaction, Applied Mathematics and Computation 219 (15) , 2013.


Quan-Fang Wang, Shin-ichi Nakagiri, Optimal control of distributed parameter system given by Chan-Hilliard equation, Nonlinear Functional Analysis and Applications 19(1), 19-33, 2014.


Quan-Fang Wang, Identification Problem of Klein-Gordon-Schrodinger Quantum System

Control, Quantum Information Processing 14, 2, 425-436, 2015.


Quan-Fang Wang, Theoretical Quantum Control for Interaction of Particles, IFAC-PaperOnline

28, 25, 039-044, 2015.




CONFERENCES PRESENTATIONS*


--- 2018 ---

* Quan-Fang Wang, Quantum Control for Chemical Reaction of Particles at Surface, 255th ACS National Meeting, New Orleans, March 18~22, 2018.



--- 2017 ---

* Quan-Fang Wang, Quantum Control of Yukawa Interaction at Nucleus, 253rd ACS National Meeting, 2017.



--- 2016 ---


* Quan-Fang Wang, Quantum Surface Control of Trapped Bose-Einstein-Condensates, 251st ACS National Meeting, San Diego, CA, March 13~17, 2016.

* Quan-Fang Wang, Quantum Optimal Control of Particle at Cross-Session in Nucleus, International Journal of Atomic and Nuclear Physics, IJANP-1-002 (1:1) 2016.

* Quan-Fang Wang, On Klein-Gordon-Schrodinger Control System, European Control Conference, 2016.


--- 2015 ---


* Quan-Fang Wang, Theoretical Quantum Control for Interaction of Particles, 16th IFAC workshop on Control Application of Optimization, Garmisch-Partenkirchen, Germany. IFAC-PaperOnline 48, 25, 039-044, 2015.

* Quan-Fang Wang, Optimal control of Cahn-Hilliard equation, 8th International Congress on Industrial and Applied Mathematics, 8.10-14, 2015, Beijing, China

* Quan-Fang Wang, Identification Problem of Klein-Gordon-Schrodinger Quantum System Control, Quantum Information Processing 14, 2, 425-436, 2015.


--- 2014 ---


* Quan-Fang Wang, Identification Problem of Klein-Gordon-Schrodinger Quantum System Control, Quantum Information Processing, Dec. 2014.

* Quan-Fang Wang, Optimal Control for Cahn-Hilliard Issues, Lambert Academic Publishing, 2014, 3.19.

* Quan-Fang Wang, Shin-ichi Nakagiri, Optimal Control of Nonlinear Distributed Parameter System given by Cahn-Hilliard equation, Nonlinear Functional Analysis and Application 19(1), 2014, 19-33


--- 2013 ----

* Quan-Fang Wang, Quantum control for atom-ion collision, 246-th ACS National Meeting, 2013 [Presentation on Demand]

* Quan-Fang Wang, Bose-Einstein condensates and its control problems, 245ACS National Meeting, April 7-11, 2013. Poster. [Prosentation on Demand]

* Quan-Fang Wang, Quantum controlling for Yukawa interaction, Applied Mathematics and Computation 219 (15), 2013 [PDF]


--- 2012 ---

*Quan-Fang Wang, Shin-ichi Nakagiri, Sensitivity of Optimal Control for Diffusion Hopfield Neural Network in the Presence of Perturbation, Applied Mathematics and Computation 219, pp. 3793-3808, 2012. [PDF]


* Quan-Fang Wang, Shin-ichi Nakagiri, Identification Problem in Quantum System Control. International Conference on Inverse Problems and Related Topics 2012, Oct. 21-26, Nanjing, P. R. China. [Video]


* 応用数学における量子制御、王 全芳、 2012年度 日本応用数理学会年会,  2012年八月二十八日~九月二日。[Video]


*Quan-Fang Wang, Quantum control of BEC in 3D, 244th ACS National Meeting & Exposition, Poster, August 22, 2012, Philadelphia, USA.


* Quan-Fang Wang, Viacheslav P. Belavkin, Quantum control for Bose-Einstein condensates with demonstration, Cybernetic And Physics 1(2), pp. 144-153, 2012. [PDF]


* Quan-Fang Wang, Quantum control for Bose-Einstein condensates in theory and numerical experiment, , accepted, 243rd ACS Nationa Meeting, 3.25-29, 2012. San Diego, USA, 2012.


* Quan-Fang Wang, High dimensional control of quantum system, Joint Mathematics Meeting, Boston, USA, Jan. 1-4, 2012.

--- 2011 ---

* Quan-Fang Wang, Shin-ichi Nakagiri, Numerical control for nonlinear Cahn-Hilliard system, 2011 Annual Conference of Japan Society for Industrial and Applied Mathematics, Poster, Sept. 14~16, 2011.


* Quan-Fang Wang, Shin-ichi Nakagiri, System control for nonlinear Cahn-Hilliard equation in the presence of perturbation and disturbances, 2011 Annual Conference of Japan Society for Industrial and Applied Mathematics, Presentation. Sept. 14~16, 2011.


* Quan-Fang Wang, Quantum Control for Bose-Einstein condensates in the presence of perturbation, Poster, 242nd American Chemical Society (ACS) National Meeting, Aug 28-Sept.1, 2011, Denver, Colorado, USA.


*Quan-Fang Wang, Banff International Research Station Workshop 11w5030 "Quantum Control" Canada, April 4-8, 2011. International Congress on Industrial and Applied Mathematics, Vancouver, Canada, July 18-22,2011.



--- 2010 ---


* Quan-Fang Wang, International Conference on Inverse Problems, The City University of Hong Kong, Dec. 13-17, 2010.

* Quan-Fang Wang, Annual Conference Japan Society for Industry and Applied Mathematics, Meiji University, Japan, Septemer 6-9, 2010.

--- 2009 ---

* Quan-Fang Wang, C. Cao, J. Luo, IEEE International Conference on Control and Automation, Poster, Chrischurch, New Zealand, December 9-11, 2009.

* Quan-Fang Wang, Shin-ichi Nakagiri, Annual Conference Japan Society for Industry and Applied Mathematics, Osaka University, Japan, Septemer, 2009.

* Quan-Fang Wang, C. Cao, European Control Conference 2009, Budapest, Hungary, August 24-30, 2009.

* Quan-Fang Wang, Viacheslav P. Belavkin, 4th International Scientific Conference on Physics and Control, Italy, September 4-6, 2009.

* Quan-Fang Wang, 238th American Chemistry Society National Meeting (Fall), Poster, Washington, USA, August, 2009.  


--- 2008 ---

*Quan-Fang Wang, Europen Science Foundation conference: Chemical Control with Electrons and Photons, University of Obergurgl, Austria, 2008.11

--- 2007 --

* Quan-Fang Wang, Control problem for nonlinear systems given by Klein-Gordon-Maxwell equations with electromagnetic field,Presentation,Proceeding of 2007 Conference on Decision and Control pp. 6370-6375, New Orlence, FL, USA, 2007. 12.


* Quan-Fang Wang, Numerical simulation on optimal quantum system control, SIAM Conference on Analysis of PDE (pd07) , 2007.

* Quan-Fang Wang, Real quantum control on Klein-Gordon-Schrodinger dynamics, Annual Conference of JSIAM , Hokkaido,University 2007.9.

* Quan-Fang Wang, Visiting Princeton University, Department of Chemistry, Picture, New Jersey, USA. 2007.9

* Quan-Fang Wang, Coefficient inverse problems with computation realization, International Conference of Inverse and Ill-Posed Problems of Mathematical Physics Novosibirsk, Russia, 2007.8.

* Quan-Fang Wang, Herschel A. Rabitz, Quantum optimal Control for Klein-Gordon-Schrodinger dynamics in the presence of disturbances and uncerntainties, Poster, Gordon Research Conference,“Quantum Control of Light and Matter”, Salve Regina Univ. NewPort RI. USA 2007.8

* Quan-Fang Wang, Ruxu, Du, A DNA encoding technology with bioinformatics analysis to application of linear mechanics systems, Poster, The Fifth Asia Pacific Bioinformatics Conference, Hong Kong, 2007.1


--- 2006 ---

* Quan-Fang Wang, Optimal control for nonlinear Cahn-Hilliard equations with numerical realization, Poster , Conference Advanced Control in PDEs , University of Maryland,USA, 2006.10.

* Quan-Fang Wang, Application of DNA technology to signal processing in mechanical systems, World Congress of Biomechanics, Munich, 2006.

* Quan-Fang Wang, Developed identification of coefficient inverse issue for 2D parabolic model by boundary pointwise observation Inverse Problems in Applied Sciences --- towards breakthrough ,Hokkaido University,Japan, 2006.7.

* Quan-Fang Wang, Computational issues of pointwise control of deleyed Hopfield neural network system with diffusion term, World Congress on Computational Mechanics, Los Angeles, USA, 2006.7.

* Quan-Fang Wang, Numerical study of optimal control for nonlinear Cahn-Hilliard equations,SIAM Annual Conference on PDE, Boston, USA, 2006.7.

* Quan-Fang Wang, Quantum optimal control of nonlinear dynamics systems described by Klein-Gordon-Schrodinger equations,Proceeding of American Control Conference pp. 1032-1037, Minnesota, USA.2006.6.

* Quan-Fang Wang, A new DNA encoding technology with application in signal processing of mechanical engineering systems,NKS 2006 Wolfram Science Conference, Invited lecture, Washington, DC. USA, 2006.6.


--- 2005 ---

* Quan-Fang Wang, Ruxu Du, A DNA algorithm for feature selection in condition monitoring of manufacturing processing, IEEE Symposium on Intelligent Signal Processing and Communication Systems, Poster, Hong Kong, 2005. 12.

* Quan-Fang Wang, Solving nonlinear partial differential equations with Mathematica. Wolfram Technology Conference 2005, Invited lecture, Illinois, USA, 2005.10.

* Quan-Fang Wang, Quantum control of nonlinear Klein-Gordon-Schrodinger Dynamics Systems,Annual Conference Japan Society for Industry and Applied Mathematics, Tohoku University, Sendai, Japan, 2005.

* Quan-Fang Wang, Boundary bang-bang control of distributed diffusion Hopfield neural network equations, Second International Conference of Applied Mathematics, Invited lecture, Bulgaria, 2005. 8.

* Quan-Fang Wang, Coefficient inverse problems of parabolic differential equations,Conference on Differential & Difference Equations and Applications, Florida Institute of Technology, USA,2005. 8.

* Quan-Fang Wang, Pointwise control of delayed Hopfield-type neural network system, reference, The 24th Chinese Control Conference, South China University of Technology, 2005.7.




王 全芳のホームページ Quan-Fang Wang 's homepage (1997 2002) Dr. Quan-Fang Wang's World (2003 2010)

Dr. Quan-Fang Wang's World