State estimation and charging control of battery storage systems

 Prof. Kang Li, PhD

Professor and Chair  of Smart Energy Systems

University of Leeds, UK

https://eps.leeds.ac.uk/electronic-engineering/staff/1381/professor-kang-li

November 11th, 2020 , 10:30-11:30 

 

Abstract

Abstract: The global economy will be greatly shaped by the transformed energy landscapes. Energy storage systems, in particular battery storage systems play an important role in decarbonizing the whole energy chain from accepting renewable generations to electrification of transport and other sectors. The talk presents some recent studies in the modelling and charging control of battery storage systems..

 

Short-Bio

Professor Kang Li holds the Chair of Smart Energy Systems at University of Leeds, UK . He proposed a novel two-stage framework for modelling a large class of nonlinear dynamic systems, which was then extended to fast and effective construction of neural and fuzzy network models.  He has pioneered the state estimation and charging control of battery storage systems using both internal and external measurements with an array of thermal, electrical and fibre sensors to ensure the safe and effective operation. His research has been supported by over 30 projects funded by research councils, industry and other national and international funding bodies.

He has published over 180 international journal papers and edited 17 international conference proceedings in his area, winning over 10 national and international prizes and awards, including the most recent Springer Nature ‘China New Development Award’ in 2019 in recognition of the ‘exceptional contributions to the delivery of the UN Sustainable Development Goals’.  He is an Executive Editor of Transactions of Institute of Measurement and Control, and Associate Editor of 5 internationally renowned academic journals, Co-Chair or Programme Chair of more than 20 international conferences.

 


 

Magnetic stimulation of the facial nerve for the emergency treatment of stroke.

Prof.  Emilio Sacristan, Ph.D. 

Professor and  Director of the National Center for Medical Instrumentation and Imaging Research, CI3M,
at the UAM-Iztapalapa
Mexico
 
November 12th, 2020 - 12:00 - 13:00 
 
Abstract:
 
Magnetic stimulation of the facial nerve has been shown to result in an increase in cerebral blood flow and perfusion, which may be useful as an emergency early treatment for stroke and other ischemic vascular conditions.  In collaboration with various international research institutions,  CI3M and Nervive are developing a medical device for this clinical application, currently in international clinical trials. Dr. Sacristan will present the idea and research results to date of magnetic stimulation of the facial nerve in animal and clinical trials as well as the development of the device itself, showing a significant increase in brain perfusion using this non-invasive method and demonstrating its important potential clinical benefit as an emergency treatment for ischemic stroke and vasospasm.
 
Estimulación magnética del nervio facial para tratamiento temprano de infarto cerebral
Se ha propuesto que la estimulación magnética del nervio facial, la cual resulta en una vasodilatación y aumento de perfusión en el cerebro puede ser útil para el tratamiento temprano de infarto cerebral.  En colaboración con varias instituciones extranjeras, en el CI3M de la UAM-iztapalapa se está desarrollando un dispositivo basado en esta idea.  Se presentará los resultados de la estimulación guiada por neuronavegación con un sistema prototipo en un modelo animal de infarto isquémico cerebral evaluado por resonancia magnética en la que se demuestra un incremento significativo de la perfusión en la región del infarto.
 

Short-Bio

Emilio Sacristan, Ph.D. 
Dr. Sacristan is a respected Mexican Researcher, Inventor and Entrepreneur in the field of medical technology. He holds a Ph.D. in Biomedical Engineering and is Professor and  Director of the National Center for Medical Instrumentation and Imaging Research, CI3M, at the UAM-Iztapalapa, Mexico, and founder of 7 medical technology startups.  In 2017 he received the Mexican National Prize for Science from Mexico’s President.
 
El Dr. Sacristán es un reconocido investigador, inventor y emprendedor mexicano en el campo de la tecnología médica. Actualmente es Profesor- Investigador en Ingeniería Biomédica y Fundador y Director del Centro Nacional de Investigación en Instrumentación e Imagenología Médica, CI3M, de la UAM-Iztapalapa, e Investigador Nacional Nivel III del SNI. 
Es Emprendedor Endeavor desde 2004, Emprendedor del Año 2006 por American Express, y el Premio Nacional de Ciencias 2017, en el área de tecnología, innovación y diseño.

 

 


 

 

 

 

Congestion control problem in networks: a delay system approach

Prof. Daniel Alejandro Melchor-Aguilar, PhD

Professor  Division of Applied Mathematics at IPICYT

México

November 13th, 2020 - 11:30 - 12:30 

 

Abstract:

In computer networks, the Active Queue Management (AQM) mechanisms are employed by the routers to assist the Transmission Control Protocol (TCP) for congestion avoidance. Recently, based on fluid-flow delay models representation for describing the behavior of TCP in computer networks, several control structures have been proposed as AQM strategies. Thus, for instance, Proportional (P), Proportional-Integral (PI), Proportional-Derivative (PD), H∞ and variable structure controllers have been proposed. Due to their simplicity and easy implementation, the PID type controllers have become a reference for the development of new AQM controllers. However, the design of such controllers is based only on sufficient conditions for guaranteeing the closed-loop stability of the linearization and, therefore, they do not provide the set of all stabilizing controllers.

In this talk, we present some recent results on the problem of finding the complete set of P, PI and PD controllers that stabilizes the linearization of the delays models. Also, we present a nonlinear stability analysis for the P and PD controllers that provides sufficient conditions for local asymptotic along with some estimates of the attraction region of the closed-loop equilibrium by using the Lyapunov functional approach. Special attention is paid to the robustness and fragility issues.

Biography:

Daniel Melchor Aguilar received the M. Sc. degree in Electric Engineering and the PhD degree in Automatic Control from CINVESTAV-IPN, México, in 1999 and 2002, respectively. From September 2002 to August 2003, he was a postdoctoral research fellow at HEUDIASYC-CNRS, Université de Technologie de Compiègne, France. In September 2003, he joined to the Division of Applied Mathematics at IPICYT, México, where he is currently a Professor. He is currently serving as Associate Editor of European Journal of Control. He received the PhD thesis Award from CINVESTAV-IPN, México, in 2003. His research interests include functional equations with delay, stability and robust stability theory.