Wavelet Neural Network Observer Based Adaptive Tracking Control for Two Degree of Freedom Piezo-Electric Actuated Nonlinear Metal Cutting Process Using Reinforcement Learning

Author:

Sharm Manish,Verma Ajay

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference14 articles.

1. J. Wang, C.Y. Su and M. Oya, “Theoretic modeling and adaptive control for two degree of freedom piezo-electric actuated chatter suppression system”, proceedings of the 42nd IEEE Conference on Decision and Control, USA, pp. 4315-4320, December 2003.

2. Mathematical Modeling Experimental Approach of the Friction on the Tool-Chip Interface of Multicoated Carbide Turning Inserts”, World Academy of Science;Oraby;Engineering and Technology,2011

3. Editorial: tribology at the forefront of study and research on metal cutting;Astakhov;Int. J. Machining and Machinability of Materials,2007

4. Observer based controller design for linear systems with input constraints”;Lens;Proceedings of 17th World Congress, The international federation of automatic control Seoul Korea,2008

5. A stable neural network-based observer with application to flexible-joint manipulators”;Abdollahi;IEEE Transactions on Neural Networks,2006

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