ALCOSP 2010, PSYCO 2010 :Adaptation and Learning in Control and Signal ProcessingAdaptation and Learning in Control and Signal Processing, Periodic Control Systems

ALCOSP 2010, PSYCO 2010 :Adaptation and Learning in Control and Signal ProcessingAdaptation and Learning in Control and Signal Processing, Periodic Control Systems ALCOSP 2010, PSYCO 2010 :Adaptation and Learning in Control and Signal ProcessingAdaptation and Learning in Control and Signal Processing, Periodic Control Systems
  • Contact

    Bogazici University

  • Registration costs

    €300 to €520

  • Working language

    English

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Workshop
Turkey
Antalya

The organizing committee of ALCOSP 2010 extends a cordial invitation to you to come to Antalya to meet renowned scholars and practitioners from all over the world, at a place that is reputed to be one of the most attractive cities of the Mediterranean.

In control and signal processing, adaptation is a natural tool to cope with real-time changes in the dynamical behaviour of signals and systems. In this area, strongly connected with prediction and identification, there has been an increasing interest in the use of computationally intelligent methods as potential tools to improve adaptation. This workshop, the 10th in series, has the goal of bringing together researchers and practitioners interested in adaptation and learning, within the general framework of control and signal processing, and to provide an assessment of recent advances and of the most promising trends for future research. Integration with other engineering areas is welcome.

The organizing committee of PSYCO 2010 extends a cordial invitation to you to come to Antalya to meet renowned scholars and practitioners from all over the world, at a place that is reputed to be one of the most attractive cities of the Mediterranean.

A major goal of the Workshop is to bring together researchers and educators and to gain some general and unified perspectives in the studying of periodic systems. The scope of the workshop will cover all areas of periodic systems theory and applications, controlled periodic systems, feedback design to achieve a periodic system, repetitive control, learning control, modeling and signal processing of periodic phenomena as well as all areas of applications to science and engineering.

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