Rate-Dependent Hysteresis Modeling of Piezoceramic Actuators and Parameter Identification with an Improved Genetic Algorithm
Author:
Affiliation:
1. Xi'an Technological University,Xi'an,China
2. Electronic Technique and Technology Department,Minsk,Republic of Belarus
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10592861/10593657/10593726.pdf?arnumber=10593726
Reference6 articles.
1. System Identification of Micro Piezoelectric Actuators via Rate-Dependent Prandtl-Ishlinskii Hysteresis Model Based on a Modified PSO Algorithm
2. Identification of Hammerstein Systems with Rate-Dependent Hysteresis Nonlinearities in a Class of Smart Material-Based Actuators
3. Data-Driven Hybrid Neural Fuzzy Network and ARX Modeling Approach to Practical Industrial Process Identification
4. Auxiliary model-based multi-innovation PSO identification for Wiener–Hammerstein systems with scarce measurements
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