Dr. Derong Liu

Title: Self-Learning Control of Nonlinear Systems based on Iterative Adaptive Dynamic Programming Approach

Abstract:

The optimal control of nonlinear systems often requires solving the nonlinear Hamilton-Jacobi-Bellman (HJB) equation instead of the Riccati equation as in the linear case. The discrete-time HJB (DTHJB) equation is more difficult to work with than the Riccati equation because it involves solving nonlinear partial difference equations. Though dynamic programming has been a useful computational technique in solving optimal control problems for many years, it is often computationally untenable to run it to obtain the optimal solution, due to the backward numerical process required for its solutions, i.e., the well-known "curse of dimensionality". A self-learning control scheme for unknown nonlinear discrete-time systems is developed for this purpose. An iterative adaptive dynamic programming algorithm via globalized dual heuristic programming technique is developed to obtain the optimal controller with convergence analysis. Neural networks are used as parametric structures to facilitate the implementation of the iterative algorithm, which will approximate at each iteration the cost function, the optimal control law, and the unknown nonlinear system, respectively. Simulation examples are provided to verify the effectiveness of the present self-learning control approach.

Short Biography:

Derong Liu received the Ph.D. degree in electrical engineering from the University of Notre Dame in 1994. He was a Staff Fellow with General Motors Research and Development Center, Warren, MI, from 1993 to 1995. He was an Assistant Professor in the Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, from 1995 to 1999. He joined the University of Illinois at Chicago in 1999, and became a Full Professor of electrical and computer engineering and of computer science in 2006. He was selected for the “100 Talents Program” by the Chinese Academy of Sciences in 2008. He has published 14 books (six research monographs and eight edited volumes). Currently, he is the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems. He received the Faculty Early Career Development (CAREER) award from the National Science Foundation (1999), the University Scholar Award from University of Illinois (2006-2009), and the Overseas Outstanding Young Scholar Award from the National Natural Science Foundation of China (2008). He is a Fellow of the IEEE and a Fellow of the INNS.

 

Dr. Yingjie Yang

Title: Difference between Grey Sets and Interval-valued Fuzzy Sets

Abstract:

Grey sets are widely considered as a different name of interval-valued fuzzy sets. However, due to the difference between grey numbers and interval values, grey sets are not exactly the same as interval-valued fuzzy sets. Exploring the difference between grey numbers and interval values, we discuss the relative uncertainty of a grey set to reveal the uncertainty sometime hidden by its degree of greyness. Our result reveals that there are significant differences between grey sets and interval-valued fuzzy sets. An interval-valued fuzzy set can be interpreted in different ways: it could represent an unknown value in a scope or a set of legal values. For the first interpretation, it can be considered as a special case of grey sets where the relative uncertainty of its corresponding grey set reaches its maximum value. For the second interpretation, an interval-valued fuzzy set has completely different semantic meaning than a grey set. Our result demonstrates that there are situations where grey sets and interval-valued fuzzy sets can not replace each other. Therefore, they are not exactly the same.

Short Biography:

Dr. Yingjie Yang is reader in Computational Intelligence at De Montfort University. He was awarded his BSc, MSc and PhD in Engineering from Northeastern University in 1987, 1990 and 1994, respectively. Later in 2008, he was awarded his PhD in Computer Science at Loughborough University. Having completed his first PhD, Dr. Yang joined Beijing Jiaotong University as a postdoc in 1994, and was appointed as an associate professor in 1996. In 1999, Dr. Yang joined an EU research project at Nottingham Trent University as a postdoc. Having completed his work at Nottingham Trent University, he moved to Loughborough University to join an EPSRC project as a postdoc research associate in the same year. In 2002, having completed his research at Loughborough University, Dr. Yang joined De Montfort University as a senior lecturer, and then was promoted to Reader in Computational Intelligence in 2012. In research, Dr. Yang has published over 70 papers in top academic journals and conferences and made outstanding and original contribution, such as his research on grey sets and R-fuzzy sets published in Information Sciences. Dr. Yang is a senior member of IEEE and the vice-chair of the Task Force on Competitions for Fuzzy Systems Technical Committee of IEEE Computational Intelligence Society and a co-chair of the Technical Committee on Grey Systems of IEEE Systems, Man, and Cybernetics Society.

 

Dr. Der-Chiang Li

Title: The new management goals for the days after 2008

Abstract:

In the days before year 2008, the world economics had grown prosperously for over twenty years. During this period, engineers and managers all over the industries had dedicated their efforts to the improvement of production efficiency, including manufacturing cost and product quality. However, after the mortgage crisis event (world finance tsunami), the earth has shown the limitation of nature resources to the world economics, including energy, food, and other materials, and the properties of competition between companies have thus also changed. To meet with the new competition, the well concentrated concern by engineers and managers, production efficiency, is considered needing to be changed accordingly. The speech will address the contents of the suggested new management goals and related approaches for the years after 2008.

Short Biography:

He is a distinguished professor at the department of Industrial and Information Management, National Cheng Kung University, Taiwan R.O.C. He had his Ph.D. degree at department of Industrial Engineering at the Lamar University, USA in 1985. He had serviced as the chairman of the department of Industrial and Information Management at NCKU, and also as the Secretary in General at the Ministry of Education, Taiwan R. O. C. He is now servicing the NCKU as the . As an outstanding research professor, his current interest concentrates on learning with small data sets.

 

Dr. Wenping Wang

Title: the Application of Grey System Theory and Method in Chinese Industrial Ecology and Economy System Optimization

Abstract:

Vice president of Chinese Professional Committee of Grey System (Optimization and Overall Planning); chief expert of Key Public Biding Project of National Social Sciences Foundation, New Century Excellent Talents of the Chinese Ministry of Education; member of the council of the Chinese Society of Optimization, Overall Planning and Economical Mathematics; the first batch of young and middle-aged scientific and technical leaders of "333 High-level Personnel Training Project" in Jiangsu province; director of the Knowledge Innovation Institute of Southeast University. Professor Wang has long been engaged in the research fields of the grey system theory and application, industrial system optimization, etc. She has more than 100 publications in the domestic and foreign important academic journals, including more than 40 SCI/EI papers, and many of her scientific research achievements were granted the first level provincial prize.

Short Biography:

How to resolve the contradiction between China's economic development and ecologicalization through the optimization of China's industrial system has become the major problem the government and academia facing? In terms of three statistical indicators of energy saving and consumption reducing from National Statistics Bureau, such as the industrial SO2 emission, industrial waste water discharge, and COD emission, the differences of main problem of China's ecology environment and development with the developed countries are analyzed. The root causes of ecological problems to seek effective path of Chinese industrial ecology and economy system optimization are put forward. Because of the lack of full information about the relationship between the system ecologicalization and economic development, the applications of the theory and method of grey system to the industrial ecology and economy system to study a series of new problems are given.

 

Dr. Xuerui Tan

Title: Modeling Approach on Noninfectious Chronic Diseases

Abstract:

Noninfectious Chronic Diseases (NCDs) is the leading cause of death worldwide. It is also a public health and social development task in current China. As NCDs featured as multi results due to multi causes, research of model establishment is a suitable approach. We intended to explore and build NCDs prediction model aided by grey relational analysis and GM(1，1) model; To build NCDs monitoring model utilized with grey evaluation; to build NCDs control model with grey decision management; to build NCDs grey relational clustering model of a multi-level and multi-factor. Thus, a series of NCDs grey relational models could be established after axiomatic proof, accuracy test and model simulation. Based on "Models practical effect" test in historical NCDs data from China and UK, applied research will also be conducted in data collected from our NCDs monitoring zone in Shantou city. It is hoped that our research will supplement and become a unique branch of epidemiological methods.

Short Biography:

Education and training:
1979-1983: Undergraduate student, Jining Medical College;1991-1994: Master’s candidate, Xi’an Medical University; 1994-1997: Doctor’s candidate, Huazhong University of Science & Technology; 2004-2007: EMBA,Cheung Kong Graduate School of Business
Working Experiences:
1983～1991: Resident. Attending physician, People’s Hospital of Liaochen City, Shandong; 1997～1999: Post doctorate in Beijing Medical University; 2001～2004: Post doctorate in Shantou University Medical College; 1998～2001: Deputy Chief Physician, Vice-president, Director of Cardiovascular Department & Director of Internal Medicine in Beijing 402 Hospital; 2001～2003: Deputy Chief Physician, Vice-president of Jiuxianqiao Hospital. Director of Internal Medicine of Yuquan Hospital; 2003～2004: Chief Physician, Vice-president. The Second Affiliated Hospital of Tsinghua University; 2004～present: Chief Physician, Professor, President of the First Affiliated Hospital of Shantou University Medical College
Research interest:
2002～2004: Neuro-endocrine mechanism of circadian blood pressure rhythm in patients with essential hypertension(No.2002031278), Supported by China Postdoctoral Science Foundation; 2002～2004: Sensitive parameters of ambulatory blood pressure monitoring and its repeatability (No.[2002]109), Supported by Ministry of Information Industry Science Foundation; 2003～2005: Study on grey relational methodology in clinical trail（No.30271158）,Supported by National Natural Science Foundation of China; 2005～2008: Cardiovascular effect of sexual activity in health and hypertensive adults (No.5008365), Supported by Provincial Natural Science Foundation of Guangdong; 2007～2007: Cardiovascular risk of sexual activity in hypertensives(No.30671790), Funded by National Natural Science Foundation of China; 2008～2010: Cardiovascular effect of sexual activity in hypertensives(No.30771836), Funded by National Natural Science Foundation of China; 2008～2010: Epidemiological research on cardiovascular effect of sexual activity in hypertensives(No.2007B031509008), Supported by Provincial Scientific Planning Project of Guangdong; 2008～2010: Research on ergodic grey relation between angiotensin Ⅱ and blood pressure in hypertensives(No.8151503102000017), Supported by Provincial Natural Science Foundation of Guangdong; 2009～2011: Grey Relational methodology on noninfectious chronic disease(No. 2009B030801328), Funded by Provincial Scientific Planning Project of Guangdong; 2010~2010: Cardiovascular effect of sexual activity in hypertensives （No.81010108001). Supported by National Natural Science Foundation of China Foreign Exchange and Cooperation Project; 2011~2013: Grey Relational methodology on noninfectious chronic disease. Funded by the High-level Talents Project of Guangdong Universities; 2012-2014: Acute myocardial infarction endoplasmic reticulum stress and its mechanism. Supported by Specialized Research Fund for the Doctoral Program of Higher Education (No.20114404110006); 2012-2015: Modeling Approach on Noninfectious Chronic Diseases. Supported by National Natural Science Foundation of China（No. 81172776）
Publications (Selected):
A total of 116 papers, including 42 are published by SCI/EI journals.

 

Dr. Camelia Delcea

Title: Not Black. Not even White. Definitively Grey Economic Systems

Abstract:

To better explain why the economic systems are grey, it is necessarily to study their components and to effectively look into their pasts or predict their future. In most of the cases, when predicting their future, the uncertainty arises. First of all, the human component plays an important role due to its usually unpredicted and sometimes irrational behavior, a situation strictly related to the way the humans are thinking and acting. From here, it is easily be demonstrated that when analyzing a system we are facing with grey knowledge. This kind of knowledge exists and it represents that small piece of puzzle that succeed in filling the gap that separate the explicit knowledge form the tacit one, also conducting to incertitude. Second, it often happens that the abnormal situations or crises that may arise in the economic systems to depend on various, mostly unknown or unpredicted, environmental conditions, including here turbulences. Moreover, when focusing specifically on firms as parts of the economic systems, this grey situation becomes even more noticeable. Firms - complex adaptive systems by nature - possess one of the most important sources of uncertainty that derives directly from their highly adaptive capacity. That is why, when analyzing the economic systems, in general, or their sub-systems, in particular, the applying of the grey systems theory methods becomes a very good alternative to the already consecrated methods. To support this idea, some of the most well-known and well-used methods in the economic systems “treatment” (including grey systems theory) are presented along with their main advantages and disadvantages. Also, a case study is illustrated, showing how we can combine these theories in order to achieve better results.

Short Biography:

Camelia Delcea received the PhD degree in Economic Cybernetics and Statistics from the Bucharest University of Economics. The research activity carried on during these years was fully supported from the European Structural Funds within the POSDRU/6/1.5/S/11 Project. Her main research activity is held in the area of modelling and forecasting the firm’s “diseases” using the concepts and methods offered by multi-agent systems, grey systems, fuzzy theory and genetic algorithms. Over the years, she has been an active supporter of the grey systems theory and practice development in Europe and she is one of the editorial advisory board members of the Grey Systems: Theory and Application Journal (Emerald). Among the awards received in the last years it can be mentioned: in 2009 - the IEEE GSIS Excellent Paper Award – Highly Commended Paper, in 2010 – the ASE&ASEM First Degree Award and in 2011 – the Emerald Group Publishing Limited Best Paper Award. Now-a-days she is teaching Economic Cybernetics, Economics and Risk Management, Operations Research and National Economy Cybernetics at the Bucharest University of Economics.

 

Dr. Qiuping Wang

Title: The application of grey theory to image engineering

Abstract:

The objective world is full of uncertainty in less data, incomplete information. Additionally, there is finiteness of individual cognitive ability and lack of experience, so the world is grey. The uncertainty is absolute and certainty is relative.
Grey system theory has ability to characterize system with both partially known and partially unknown information. When an image is attacked such as by covering with high density noise, or adjustment of the luminance, JPEG compression, Scaling, and Cropping, many original information of the image can’t be seen and known. That mean the image could be taken as a grey system.
Research results in recent are as follows. Propose a novel algorithm of denoising algorithm based on DGM(1,1). Give a Blind Image Watermarking Scheme Based on GM(1,1) Model in Wavelet Domain.

Short Biography:

Research Field : Grey system theory and its application，Uncertain decision making, forecasting technique,
Position: Associate Professor, Supervisor of postgraduate
Since 1999, she has been an associate professor at Xi’an University of Technology. 24 postgraduates supervised get master’s degree.
Education: Dr. Qiu-Ping WANG received her BSc in department of mathematics from Northwest University, China, in 1985, and MS degree in School of Sciences from Xi’an University of Technology, China, in 1991. She received her PhD degree in college of economics and management from Xi’an University of Technology, China, in April, 2011.
Publication：There are about 40 articles concerned with her research to publish. She obtained Excellent Paper Award (IEEE GSIS 2009, IEEE GSIS 2011, Nanjing, China).

 

Dr. Naiming Xie

Title: Grey Forecast Modelling: Principle, models and Research Evolution

Abstract:

This talk mainly focuses on principles and recent evolutions of grey forecast modelling. Content includes principles of grey forecast modelling, nature of small sample and poor information, recent evolution about grey forecast models and applications, possible forthcoming research topics and developments.

Short Biography:

Dr. Xie is an associate professor in the Institute of Grey System Studies, Nanjing University of Aeronautics and Astronautics (NUAA). He received his B.S, M.S and Ph.D degree in Grey systems theory of NUAA. He is also Editor Assistant of Grey systems: Theory and Application and Secretary-in-Chief of Chinese Grey System Association. His publications mainly concentrate on grey forecast modeling. His papers were awarded as Top Cited article (2007-2011) of Applied Mathematical Modelling (SCIE) and Top 100 Chinese Science and Research papers (2003-2007).His research interests include Grey forecast modeling, Grey number operation, etc.