Gabor Stepan, 30 May 2017: Difference between revisions

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=== Schedule ===
=== Schedule ===
* 7:45 am: Breakfast with Richard
* 7:45 am: Breakfast with Richard
* 9:00 am: Open
* 9:00 am: Ames lab tour
* 9:30 am: Open
* 10:15 am: Biocircuits lab tour (Andrey)
* 10:00 am: Bob Desharnais, 115 Annenberg
* 10:30 am: Open
* 11:00 am: Seminar, 121 Annenberg
* 11:00 am: Seminar, 121 Annenberg
* 12:00 pm: Lunch with CDS faculty
* 12:00 pm: Lunch with CDS faculty
* 1:30 pm: Open
* 1:30 pm: Done for the day
* 2:00 pm: Depart from campus


=== Talk information ===
=== Talk information ===

Latest revision as of 16:19, 30 May 2017

Gabor Stepan from Budapest University of Technology and Economics will be visiting Caltech on 30 May (Tue). If you would like to meet with him, please sign up below (edit the page using your IMSS credentials).

Schedule

  • 7:45 am: Breakfast with Richard
  • 9:00 am: Ames lab tour
  • 10:15 am: Biocircuits lab tour (Andrey)
  • 11:00 am: Seminar, 121 Annenberg
  • 12:00 pm: Lunch with CDS faculty
  • 1:30 pm: Done for the day

Talk information

Quantization and sensory threshold in balancing with delay

Gabor Stepan
Budapest University of Technology and Economics

Quantization in time, like sampling, and quantization in space, like round-off have counter-intuitive effects in time-delay systems. These can be used in a positive way in several simple control strategies to stabilize otherwise unstable equilibria, in spite of the fact, or actually, just because of the fact that delay tends to destabilize steady-states, tends to make bifurcations subcritical and tends to produce chaotic and transient chaotic behavior in the tangle of unstable limit cycles in the infinite dimensional phase spaces. After a brief introduction to the basic models of human and robotic balancing, a couple of models and experiments are discussed where time delay and sensory threshold, or sampling and round-off are relevant. The examples represent that practically satisfactory balancing can be achieved even with slow and inaccurate computers like the brain.