Confirmed Speakers

Evolutionary Dynamics and Bifurcations in Nonlinear Dynamical Systems with Fuzzy Uncertainties
Ling Hong
Xi'an Jiaotong University, China

Abstract:  Responses and bifurcations of nonlinear dynamical systems with fuzzy uncertainties are studied by means of the Fuzzy Generalized Cell Mapping (FGCM) method. A rigorous mathematical foundation of the FGCM is established as a discrete representation of the fuzzy master equation for the possibility transition of continuous fuzzy processes. The FGCM offers a very effective approach for solutions to the fuzzy master equation based on the min–max operator of fuzzy logic. A fuzzy response is characterized by its topology in the state space and its possibility measure of membership distribution functions (MDFs). A fuzzy bifurcation implies a sudden change both in the topology and in the MDFs. The response topology is obtained based on the qualitative analysis of the FGCM involving the Boolean operation of 0 and 1. The MDFs are determined by the quantitative analysis of the FGCM with the min–max calculations. With an increase of the intensity of fuzzy noise, noise-induced escape from each of the potential wells (attractors) defines two types of bifurcations, namely catastrophe and explosion. This talk focuses on the evolution of transient and steady-state MDFs of the fuzzy response. As the intensity of fuzzy noise increases, steady-state MDFs cover a bigger area in the state space with higher membership values spreading out to a larger area. The previous conjectures are further confirmed that steady-state MDFs are dependent on initial possibility distributions due to the nonsmooth and nonlinear nature of the min–max operation. It is found that as time goes on, transient MDFs spread around stable invariant sets. The evolutionary orientation of transient MDFs aligns with unstable invariant manifolds leading to stable invariant sets. Two examples of additive and multiplicative fuzzy noise are given.

Bio:  Dr. Ling Hong is currently a professor in the School of Aerospace at Xi’an Jiaotong University. She serves as the Associate Editor of International Journal of Dynamics and Control published by Springer. Dr. Ling Hong earned her PhD from Xi’an Jiaotong University in 2001. She worked as a postdoctoral fellow at the University of Delaware in USA from 2004 to 2006. She was awarded the National Nature Science Award in 2003 and nominated for ‘The Best 100 PhD Theses of China’ in 2004. Her research area is nonlinear dynamics and control focusing on global dynamics, bifurcations and chaos. The following are her research projects from NSFC that she has currently been working: (1) Study on Evolutionary Dynamics of Transient Responses and Membership Distribution Functions for Fuzzy Nonlinear Systems (PI from 2017 to 2020) (2) Study on Analysis Methods and Phenomena Mechanisms for Dynamics of Fuzzy Non-smooth Systems (PI from 2020 to 2023). More information about her research contribution can be found from http://gr.xjtu.edu.cn/web/hongling
Evolutionary Multi-Criterion Optimization: Three Decades of Research and Applications

Kalyanmoy Deb
Michigan State University

Abstract:  Started in early nineties, multi-objective optimization problems were solved without any prior preference information. Evolutionary computation methods were minimally modified to search and store multiple Pareto-optimal solutions simultaneously within an evolving population. The basic idea has not changed in the past three decades, but it has been extended, perfected, and applied to various fields of science, society, engineering, and business. This lecture will present a chronological account of key events and research inventions which propelled the evolutionary multi-objective optimization (EMO) into a field which many novice and expert researchers and applicationists now proudly call it their profession.

Bio:  Kalyanmoy Deb is Koenig Endowed Chair Professor at Department of Electrical and Computer Engineering in Michigan State University, USA. Prof. Deb is a pioneer and has been an active proponent of EMO field since 1994. Prof. Deb's research interests are in evolutionary optimization and their application in multi-criterion optimization, modeling, and machine learning. He has been a visiting professor at various universities across the world including IITs in India, Aalto University in Finland, University of Skovde in Sweden, Nanyang Technological University in Singapore. He was awarded IEEE Evolutionary Computation Pioneer Award, Infosys Prize, TWAS Prize in Engineering Sciences, CajAstur Mamdani Prize, Distinguished Alumni Award from IIT Kharagpur, Edgeworth-Pareto award, Bhatnagar Prize in Engineering Sciences, and Bessel Research award from Germany. He is fellow of IEEE, ASME, and three Indian science and engineering academies. He has published over 520 research papers with Google Scholar citation of over 137,000 with h-index 116. He is in the editorial board on 20 major international journals. More information about his research contribution can be found from https://www.coin-lab.org

Thermal solar energy, a solution for a more sustainable future

Ivan Salgado Transito
AC Optics Research Center

Abstract:  The talk will present a brief overview of the relevance of solar power technology, its potential to transform the global energy system and become into the main energy source in the next century. We will focus on solar thermal technology for electricity generation also call Concentrating Solar Power (CPS). This technology use optical mirrors or lens to concentrate solar radiation in a focal point where a fluid is heated up, then, electricity is generated in a conventional thermodynamic power cycle. CPS has the enormous advantage of having low-cost energy storage systems becoming it in a stabilizing key source in distributed power generation networks dominated by other fluctuating renewable energy sources as wind and solar PV. Finally, some of the niches of opportunity for optimization of power grid with distributed generation will succinctly presented.

Bio: Research Fellow in Solar Energy, Member of Mexican National Research System level - 1. Bachelor degree in Mechanical Engineer and MSc. & D.Eng in Solar Energy from the National Autonomous University of Mexico. Postdoc at the Solar Energy Laboratory of the University of Minnesota, US. Member of TAKS 49 - Solar Heat Integration in Industrial Processes (IEA) and the Mexican Heat Initiative. He has done two research stays, one in the Almeria Solar Platform and the other in the Faculty of Mathematics at the University of Basque Country. He serves as Assistant Professor at the University of Sonora working in the Heliostats Test Field in Hermosillo, Mexico. He is currently a Research Fellow at The Optical Research Center (CIO, Spanish abbreviation); His main achievements are the foundation of the Solar Energy Research & Engineering Group and the establishment of The Thermal Energy and Photovoltaic Evaluation Lab (LICS-TF).

More information about his research contribution can be found from https://www.cio.mx/investigadores/ivan_salgado

Ultra-High Density Piezoelectric Energy Harvesting System from Highway Traffic

Jian-Qiao Sun
UC Merced

Abstract:   In this talk, we shall report the project progress and results of piezoelectric energy harvesting from highway traffic. The project is supported by California Energy Commission. We shall review the background of the project, the objectives, device design and experimental evaluations. Finally, we report the projection of energy production by the proposed piezoelectric energy technology over a mile-long highway. The scale of the possible energy production using piezoelectric materials is the largest one reported in the literature at this time.

Bio: Dr. Jian-Qiao Sun earned a BS degree in Solid Mechanics from Huazhong University of Science and Technology in Wuhan, China in 1982, and a PhD in Mechanical Engineering from University of California at Berkeley in 1988. He worked for Lord Corporation at their Corporate R&D Center in Cary, North Carolina. Dr. Sun jointed the faculty in the department of Mechanical Engineering at the University of Delaware as an Assistant Professor in 1994, was promoted to Associate Professor in 1998 and to Professor in 2003. He joined University of California at Merced in 2007, and is currently a professor and chair of the Department of Mechanical Engineering in School of Engineering. He is currently the Editor-in-Chief of International Journal of Dynamics and Control published by Springer.

More information about his research contribution can be found from https://www.ucmerced.edu/content/jian-qiao-sun