A novel neural network based method for modeling of rate-dependent hysteresis in piezoelectric actuators is proposed. In order to approximate the behavior of rate-dependent hysteresis which is a kind of nonsmooth dynamic nonlinearity with multi-valued mapping, a diagonal recurrent neural network (DR
β¦ LIBER β¦
Neural network compensation of gear backlash hysteresis in position-controlled mechanisms
β Scribed by Seidl, D.R.; Sui-Lun Lam; Putman, J.A.; Lorenz, R.D.
- Book ID
- 111672013
- Publisher
- IEEE
- Year
- 1995
- Tongue
- English
- Weight
- 995 KB
- Volume
- 31
- Category
- Article
- ISSN
- 0093-9994
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