Publications


MixItUp Demo - Toggle Filtering AND Logic



Co-evolutionary Variance Can Guide Physical Testing in Evolutionary System Identification

Evolvable Hardware, 2005. Proceedings. 2005 NASA/DoD Conference on, , 213-220, 2005


Status: Published

Citations:

Cite: [bibtex]


My Image

Abstract: Co-evolution of system models and system tests can be used for exploratory system identification of physical platforms. Here we demonstrate how the amount of physical testing can be reduced by managing the difficulty that a population of tests poses to a population of candidate models. If test difficulty is not managed, then disengagement between the two populations occurs: The difficulty of the evolved test data supplied to the model population may grow faster than the ability of the models to explain them. Here we use variance of model outputs for a given test as a predictor of the tests’ difficulty. Proper engagement of the co-evolving populations is achieved by evolving tests that induce a particular amount of variance. We demonstrate this claim by identifying nonlinear dynamical systems using nonlinear models and linear approximation models.



[edit database entry]
Stacks Image 525289
(null)

  • Stacks Image 525371
    (null)
  • Stacks Image 525379
    (null)
  • Stacks Image 525375
    (null)


Stacks Image 525306
(null)

  • Stacks Image 525319
    (null)
  • Stacks Image 525314
    (null)
  • Stacks Image 525310
    (null)


Stacks Image 525327
(null)

  • Stacks Image 525331
    (null)
  • Stacks Image 525335
    (null)
  • Stacks Image 525339
    (null)


Stacks Image 525346
(null)

  • Stacks Image 525350
    (null)
  • Stacks Image 525354
    (null)
  • Stacks Image 525358
    (null)


Stacks Image 525386
(null)

  • Stacks Image 525390
    (null)
  • Stacks Image 525394
    (null)
  • Stacks Image 525398
    (null)