European Control Conference (ECC 2020)
Saint Petersburg, Russia, May 12‑15, 2020

Important Dates

  • September 30 October 8, 2019 October 10, 2019
    Paper submission deadline
  • January 15, 2020
    Notification of acceptance
  • February 15, 2020
    Final paper upload
  • February 15, 2020
    Early registration
  • February 15, 2020
    Recommended date for visa support letter (invitation) request
  • March 9, 2020
    Regular registration
  • May 12-15, 2020
    Conference dates
Submitted Invited Sessions

Control and optimization of complex networks

Organizers:
Guanrong Chen (City Univ. of Hong Kong)
Jingyuan Zhan (Beijing Univ. of Technology)

Abstract:
Complex networks abound in nature and technology, and the study of complex networks pervades from all science. Control and optimization of complex networks is becoming an outstanding challenge. This invited session presents recent advances in control and optimization of complex networks, covering topics such as consensus of multi-agent systems, robustness of network controllability, and evolutionary games.

Adaptive Networks

Organizers:
Eckehard Schöll (TU Berlin, Germany)

Abstract:
Complex networks are an ubiquitous paradigm in nature and technology, with a wide field of applications ranging from physics, chemistry, biology, neuroscience, to engineering and socio-economic systems. Of particular interest are adaptive networks, where the connectivity changes in time, for instance, the synaptic connections between neurons are adapted depending on the relative timing of neuronal spiking. Thus the network structure reorganizes adaptively in response to the dynamics. Similarly, chemical systems have been reported, where the reaction rates adapt dynamically depending on the variables of the system. Activity-dependent plasticity is also common in epidemics and in biological or social systems. Synchronization and its control is an important feature of the dynamics in networks of coupled nonlinear oscillators. Various synchronization patterns of increasing complexity are known, like cluster synchronization where the network splits into groups of synchronous elements, or partial synchronization patterns like chimera states where the system splits into coexisting domains of coherent (synchronized) and incoherent (desynchronized) states, and these patterns are also explored in adaptive networks. Several dynamical scenarios have been revealed including the self-organized formation of co-existing frequency cluster or chimera-like states. Furthermore, adapting the network topology has also successfully been used in order to control cluster synchronization in delay-coupled networks. It is the purpose of this invited session to focus on recent developments with future promising perspectives, and several talks on various aspects of adaptive networks and their applications are planned.