Mini-Symposium 24:

Control Theory of Uncertain Systems and its Application

Abstract:

The need for reliable control of dynamical systems with inherent uncertainties affecting their behaviour has led to rapid developments in control theory. Various mathematical models have appeared to model such uncertainties, and they range from stochastic models (diffusions, jump processes, Markovian switching, etc) to deterministic but uncertain models (interval uncertainties, bounded norm uncertainties, etc). This has led to novel mathematical tools being applied to solve the corresponding control problems and at the same time new mathematics is being developed motivated by the various challenging control problems.

The main objective of this mini-symposium is to bring together experts working in control theory and its application to present and discuss the latest developments in the field. Furthermore, it will provide an excellent opportunity to investigate possible application of already existing results from the field of control theory into the area of vulnerability, risk analysis etc. To summarize some relevant topics include control theory (linear/nonlinear, optimal, robust, stochastic/deterministic, etc), Markov decision processes, stochastic differential equations, descriptor systems, stability analysis, controllability/observability, periodic systems, and applications to engineering, financial and actuarial mathematics.

Organisers:

Efstathios Antoniou
School of Technological Applications, Technological Educational Institute of Thessaloniki, Greece.
eantonio@gen.teithe.gr
Bujar Gashi
Institute for Financial and Actuarial Mathematics (IFAM), University of Liverpool, UK.
Bujar.Gashi@liverpool.ac.uk
George Halikias
School of Engineering and Mathematical Sciences, City University, London, UK.
g.halikias@city.ac.uk
Ioannis A. Kougioumtzoglou
Institute for Risk and Uncertainty, University of Liverpool, UK.
kougioum@liverpool.ac.uk
Athanasios A. Pantelous
Institute for Financial and Actuarial Mathematics (IFAM), University of Liverpool, UK.
Institute for Risk and Uncertainty, University of Liverpool, UK.
aap@liverpool.ac.uk
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ICVRAM2014 Conference timeline:


30th November 2013:
ASCE Full paper submission
15th February 2014:
Deposit and/or early bird registration deadline
1st of May 2014:
Full paper submission (not included in the ASCE proceedings)
1st June 2014:
Scientific programme
13th-16th July 2014:
Conference
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