Proceedings of the International Solid-State Sensors and Actuators Conference - TRANSDUCERS '95
DOI: 10.1109/sensor.1995.717222
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Positioning To Nanometer Resolution With Ultrasonic Actuators

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Cited by 6 publications
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“…Miscellaneous approaches utilized self-tuning discrete-time control, sliding mode control, genetic algorithm, neural network methods, and so on to deal with the time-varying parameters from nonlinearity and disturbance so as to preserve high-precision positioning while operating with piezoelectric motors. [9][10][11] Therefore, building a suitable robust controller for such a timevarying system is demanding. EWMA algorithm is one of the most basic run-to-run (RtR) control schemes widely used for monitoring and tracking small changes in the volatility.…”
Section: Introductionmentioning
confidence: 99%
“…Miscellaneous approaches utilized self-tuning discrete-time control, sliding mode control, genetic algorithm, neural network methods, and so on to deal with the time-varying parameters from nonlinearity and disturbance so as to preserve high-precision positioning while operating with piezoelectric motors. [9][10][11] Therefore, building a suitable robust controller for such a timevarying system is demanding. EWMA algorithm is one of the most basic run-to-run (RtR) control schemes widely used for monitoring and tracking small changes in the volatility.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, how to cope with those time-varying parameters in order to increase the robustness against environmental changes is demanding. For instance, Snita et al used a simple predictor-based self-tuning control in discrete time to deal with internal and external disturbances [8]. Wai and Tu designed a double-inductance double-capacitance inverter and sliding-mode fuzzy-neural-network control without dynamic model to achieve the objective of tracking various trajectories [9].…”
Section: Introductionmentioning
confidence: 99%