Modeling and analysis of dynamic systems with the symbolic manipulation tool Pansym
Concise graphical and/or textual notations are ubiquitously used to represent the physical structure of dynamical systems. Each different notation can be normally translated directly into mathematical expressions of system equations that allow further application of general system theoretical results and techniques for the analysis and exploitation of the studied systems, e.g. stability, controllability, sensitivity with respect to parameters, identifiability, optimization, open- and closed-loop control, etc.
The most frequently applied symbolic manipulation is differentiation, which is readily available in modern simulation programs, such as Matlab/Simulink, which do however seldom provide the analytic expressions of the simulated systems.
With the aim to overcome this limitation, i.e. to make available in symbolic form the dynamic model equations starting from a structural representation of a system, the presented software tool PANSYM has been developed over the years as a marginal project to support modeling research on biomedical systems. Although mostly still in prototypal form, the software may become useful also to others because of some interesting and unique features regarding automatic generation of: (1) ODE model equations from multidisciplinary system representations (compartmental, electrical, biochemical, bondgraphs) (DAE are transformed into ODE by computer algebra); (2) sensitivity differential equations for dependable calculations instead of numerical differentiation; (3) adjoint differential equations arising from optimal control problems; (4) source code for: (a) numerical simulation exploiting multiprocessor architectures (Fortran); (b) documentation (Latex); (c) model simulation and identification ( R ). The ad hoc coding of new formatting routines for other applications, e.g. extended Kalman filtering, and programming languages, e.g. Matlab, C++, is feasible and little time-consuming.
Latest developments include: (i) identification of population models using advanced statistical approaches, such as Nonlinear Mixed Effects Models and Bayesian inference based on Markov Chain Monte Carlo; (ii) analysis of metabolic maps with generation of dynamic equations for selected pathways.
Future plans include modeling of isotopomer dynamics for studying substrate recycling in intermediate metabolism.
Date: 2008-Jul-24 Time: 10:00:00 Room: 336
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OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.