Positive systems are dynamic systems evolving within the nonnegative orthant given nonnegative input and onnegative initial state. The mathematical foundation can be traced back to the celebrated Perron-Frobenius Theorem developed in the early 19th century, however, not until the past two decades, this area has drawn much attention from researchers in different disciplines. Applications of such peculiar type of systems have been found in gene regulation, compartmental networks, population evolution, and power control of wireless sensor networks. Although much effort has been conducted on the fundamental theory with a number of influential results obtained, there are still many challenging
issues to be solved. For instance, the properties of externally positive systems and eventually positive systems are less explored in the literature. Also, the use of positive system theory in general systems that do not possess positivity is a recent new trend. For instance, positive system theory provides a powerful tool for the interval observer design and can be further applied in the fault detection problem. As an extension of positive systems, it would be natural to consider dynamic systems defined on a general proper cone. However, results in this vein are relatively less reported. Therefore, research topics along these directions are most welcome. The primary goal of this special issue is to bring together the latest developments in the theory of analysis and control of positive systems, and their applications in related areas, such as multi-agent systems, Boolean networks. Contributions should consider the following topics, but are not
Topics of Interest:
Control of linear/nonlinear positive systems with delays
Positive singular systems
Externally positive systems and eventually positive systems
Switched and periodic positive systems
Interconnected positive systems
Distributed control algorithms based on linear programming or geometric programming
Interval observer design
Analysis of Boolean networks using positive system theory
Performance analysis and control of systems with cone invariance
Applications of positive systems theories to multi-agent systems, wireless sensor networks, and fault detection
Proposed publication schedule:
Submission Deadline: July 31st, 2020.
Publication Date: January 31st, 2021.
Prof. Jun Shen
Nanjing University of Aeronautics and Astronautics, Nanjing, China
Prof. Yoshio Ebihara
Kyushu University, Japan
Prof. Masaki Ogura
Osaka University, Japan
Prof. Mustapha Ait Rami
ENSIT Engineering School Tangier, Morocco
Prof. Zhan Shu
University of Alberta, Edmonton, Canada
Prof. Jun Shen received the B.Sc. and M.Sc. degrees from Southeast University, Nanjing, China, in 2008 and 2011, respectively, and the Ph.D. degree from the Department of Mechanical Engineering, the University of Hong Kong, Hong Kong, in 2015. Since 2016 he has been an Associate Professor in the College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. He is Associate Editor or Editorial Board Member of Journal of the Franklin Institute, IEEE Access, Cogent Engineering, IET Journal of Engineering, International Journal of Sensors, Wireless Communications and Control, Guest Editor of IET Control Theory & Applications. He is a Senior Member of IEEE and a Member of IET. His current research interests include positive systems, monotone systems, fractional order systems, model reduction, and robust control and filtering. Citation metrics are from Google Scholar, with a total of 1092 citations, h-index of 17, and i10-index of 26 as on November 28, 2019.
Prof. Yoshio Ebihara received the B.E., M.E., and D.E. degrees in electrical engineering from Kyoto University, Kyoto, Japan, in 1997, 1999, and 2002, respectively. In 2002, he joined the Department of Electrical Engineering, Kyoto University, where he held positions as an Assistant Professor, Lecturer, and Associate Professor. Since 2019, he has been a full professor in the Graduate School and Faculty of Information Science and Electrical Engineering, Kyushu University, Japan. In 2010, he held a Visiting Researcher position at LAAS-CNRS Toulouse, France. His research interests include convex optimization in control and positive system analysis and synthesis.
Prof. Ebihara was an Associate Editor of IET Control Theory & Applications and is currently an Associate Editor of Automatica, and the chair of IEEE CSS Technical Committee on Robust and Complex Systems. He is also the General Chair of the 10th IFAC Symposium on Robust Control Design, to be held in Kyoto, Japan, in 2021. Citation metrics from Google Scholar are as follows: 1900 citations, hindex 23, and i10-index 44 as of December 13, 2019.
Prof. Masaki Ogura is an Associate Professor in the Graduate School of Information Science and Technology at Osaka University, Japan. He received his M.Sc. degree in Informatics from Kyoto University in 2009, and his 3 Ph.D. in Mathematics from Texas Tech University in 2014. From 2014 to 2017, he was a Postdoctoral Researcher at the University of Pennsylvania. From 2017 to 2019, he was an Assistant Professor at the Nara Institute of Science and Technology, Japan. His research interests include network science, dynamical systems, and stochastic processes with applications in networked epidemiology, design engineering, and biological physics. He was a runner-up of the 2019 Best Paper Award by the IEEE Transactions on Network Science and Engineering and a recipient of the 2012 SICE Best Paper Award. Citation metrics are from Google Scholar, with a total of 269 citations, h-index of 8, and i10-index of 6 as on November 29, 2019.
Prof. Mustapha Ait Rami has a PhD in Applied Mathematics (Systems & Control) from University Paris-IX Dauphine, Paris, France. Currently, he works as Director of research at ENSIT Engineering School Tangier, Morocco. He worked on diverse projects with high research impact. Previous international academic experience in USA (University California Los Angeles), Hong Kong (Chinese University of Hong Kong, Polythechnic University of Hong Kong). Germany (University of Wrzburg), France (ENSTA Paris Tech, Picardie Jules Verne University), Spain (Valladolid University). The overarching theme of his research is to develop theories and computational techniques for systems, control and estimation. His methodology can be viewed as a practical blend of both theory and computation. He pioneered novel approaches based on Global Optimization, Semi-Definite Programming and Linear Programming. Citation metrics are from Google Scholar, with a total of 5177 citations, h-index of 26, and i10-index of 45 as on November 29, 2019.
Prof. Zhan Shu received his B.Eng. degree in Automation from Huazhong University of Science and Technology (HUST) in 2003, and the Ph.D. degree in Control Engineering from The University of Hong Kong (HKU) in 2008. He was a postdoctoral researcher in the Hamilton Institute, National University of Ireland from 2009 to 2011, Maynooth, and a lecturer in Faculty of Engineering and Physical Sciences, University of Southampton from 2011 to 2019. Now, he is an associate professor in the Department of Electrical and Computer Engineering, University of Alberta. He is a Senior Member of IEEE and an invited reviewer of Mathematical Review of the American Mathematical Society. He serves as an Associate Editor for Mathematical Problems in Engineering, an Associate Editor for Asian Journal of Control, 4 an Associate Editor for Journal of The Franklin Institute, an Associate Editor of Proc. IMechE, Part I: J. Systems and Control Engineering, an Associate Editor of IET Electronics Letters, and a member of the IEEE Control Systems Society Conference Editorial Board. His current research interests include hybrid systems, positive systems, robust control, and networked control. Citation metrics are from Google Scholar, with a total of 2864 citations, h-index of 28, and i10-index of 47 as on January 19, 2020. 5