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Keywords: radial basis function networks
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Journal Articles
Publisher: ASME
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. November 2011, 133(6): 061014.
Published Online: November 11, 2011
... control systems PI control position control radial basis function networks robust control servomotors state feedback variable structure systems servomotors sliding mode control chattering adaptive control neural networks During the last three decades, considerable effort has been...
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2006, 128(3): 626–635.
Published Online: July 20, 2005
... control system synthesis magnetic bearings machine bearings closed loop systems radial basis function networks intelligent control Robust control is a “hard computing” design methodology focused on achieving guaranteed stability and performance for uncertain dynamic systems. Robust control...
Journal Articles
Publisher: ASME
Article Type: Article
J. Dyn. Sys., Meas., Control. December 2004, 126(4): 880–890.
Published Online: March 11, 2005
... relationships between process input–output variables is steadily increasing. A good model of the process is indispensable for the successful optimization and model-based control 1 2 3 . grinding fuzzy neural nets learning (artificial intelligence) radial basis function networks least squares...
Journal Articles
Journal Articles
Publisher: ASME
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. March 2001, 123(1): 44–48.
Published Online: October 5, 1999
... by the Dynamic Systems and Control Division October 5, 1999. Associate Editor: S. Fassois. 05 October 1999 nonlinear estimation Kalman filters nonlinear filters filtering theory observers radial basis function networks compensation State estimation is an integral part of modular...