Performance Evaluation of Adaptive Dither Control Frameworks for Nonlinear Piezoactuator
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Publisher
Springer Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-1777-5_1
Reference11 articles.
1. Nguyen, M.L., Chen, X.: “MPC Inspired Dynamical output feedback and adaptive feedforward control applied to piezo-actuated positioning systems.” IEEE Trans. Ind. Electron. 67(5), 3921–3931, doi: https://doi.org/10.1109/TIE.2019.2916356(2020)
2. Nafea, M., Mohamed, Z., Ali, M.S.M., Mehranzamir, K., Rehman, T.: “Hybrid PSO-Tuned PID and hysteresis-observer based control for piezoelectric micropositioning stages.” IEEE International Conference on Smart Instrumentation, Measurement and Application (ICSIMA), Kuala Lumpur, Malaysia, 2019, pp. 1–6 (2019)
3. Xie, S., Ren, J.: “Linearization of recurrent-neural-network- based models for predictive control of nano-positioning systems using data-driven koopman operators.” IEEE Access 8, 147077–147088, doi: https://doi.org/10.1109/ACCESS.2020.3013935 (2020).
4. Lambert, P., Valentini, A., Lagrange, B.: Delcambre P.D Design and performances of a one-degree-of-freedom guided nano-actuator. Robot. Comput. Integr. Manuf. 19, 89–98 (2003)
5. Hii, K.F., Vallance, R.R., Mengu, M.P.: Design, operation, and motion characteristics of a precise piezoelectric linear motor. Precis. Eng. 34, 231–241 (2010)
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