Conferences  >  Mathematics  >  Systems theory, Control and Automation

CDC 2023 is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Technical Committee on Control Theory of the Chinese Automation Association (TCCT), the European Control Association (EUCA), the Korea Institute of Control, Robotics and Systems (ICROS), and the Japanese Society for Instrument and Control Engineers (SICE).

The IEEE CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.

The Latin American Workshop on Optimization and Control is organized on a biennial basis with the main goal of boosting the development and interaction between these two scientific disciplines in Latin America, by gathering together outstanding senior and junior researchers, postdoctoral fellows and graduate students working in these fields.

An additional goal of the workshop is to increase the visibility of Optimization and Control among advanced undergraduate students (in Mathematics, Computer Science, Engineering, Physics, Economics, and others), as well as within the different companies and institutions of the society.

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

The study of return-times and hitting-times of small sets ("rare events") in ergodic dynamical systems has undergone some intense research in the past 20 years. It is part of the wider field of probabilistic properties of (deterministic) dynamical systems. One general motivation from the sciences is that the times at which various extreme events (possibly modeling catastrophes in real-world systems) occur, often cannot be predicted over a reasonably long period. It is therefore important to at least understand the statistical laws governing these occurrences. Accordingly, there are well-developed stochastic models describing such rare events and enabling further theoretical analysis. These stochastic descriptions, however, necessarily start from simplifying assumptions and sometimes disregard additional detailed knowledge about the mechanisms driving the system. In contrast, there is a branch of ergodic theory which aims at analysing dynamical system models which incorporate this extra information, and rigorously derives statistical properties from the underlying deterministic dynamics. The central theme of this workshop is the aspiration for finding and proving probabilistic limit theorems which clarify patterns of occurrences of extreme events in nonlinear dynamics.

Complex Systems, Chaos and Self-Organisation,    Probability and Statistics, Game Theory

The South Asia Institute of Science and Engineering

2024 9th International Conference on Control and Robotics Engineering (ICCRE 2024) will be held at Osaka University, Osaka, Japan during May 10-12, 2024. ICCRE2024 is co-sponsored by Hohai University, China, IEEE and IEEE Robotics and Automation Society; hosted by Osaka University, Japan.

Email: brandon@saise.org

Control Science and Engineering; Adaptive control; Robust control; Robotics Science and Engineering; Modeling and identification; Robot control; Vision Science and Engineering; Image/video analysis; Feature extraction, grouping and segmentation;

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Hausdorff Research Institute for Mathematics (HIM)

Disordered systems emerge from physical models by incorporating additional random effects. They also appear as models for complex systems in various contexts, such as computer science or biology. Understanding these models rigorously has been a great challenge for several decades, but the mathematical research in disordered systems and related fields has seen tremendous progress in recent years and benefits from a fruitful interplay of techniques from probability theory, mathematical analysis, combinatorics and mathematical physics. The aim of the school is to present to PhD students and young researchers some of the most fascinating developments in disordered systems and related fields in recent years.

Courses and Events for Math Students and Early Career Researchers,    Complex Systems, Chaos and Self-Organisation