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Keywords: radial basis function networks
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Journal Articles
Article Type: Research Papers
J. Dyn. Sys., Meas., Control. November 2011, 133(6): 061014.
Published Online: November 11, 2011
... completely by using the DSMC with a small switching gain. adaptive control learning (artificial intelligence) machine control neurocontrollers nonlinear control systems PI control position control radial basis function networks robust control servomotors state feedback variable structure...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. September 2006, 128(3): 626–635.
Published Online: July 20, 2005
... A novel “soft computing” approach has been demonstrated to estimate bounds of model uncertainty resulting from parameter variations, unmodeled dynamics, and nondeterministic processes in dynamic plants. This approach uses confidence interval networks (CINs), radial basis function networks trained using...
Journal Articles
Article Type: Article
J. Dyn. Sys., Meas., Control. December 2004, 126(4): 880–890.
Published Online: March 11, 2005
...) radial basis function networks least squares approximations genetic algorithms hierarchical systems large-scale systems surface roughness internal stresses Due to the increasing demand for higher precision and productivity in manufacturing processes in modern industry, automation...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. December 2002, 124(4): 648–658.
Published Online: December 16, 2002
...Chris Manzie; Marimuthu Palaniswami; Daniel Ralph; Harry Watson; Xiao Yi This paper proposes a new Model Predictive Control scheme incorporating a Radial Basis Function Network Observer for the fuel injection problem. Two new contributions are presented here. First a Radial Basis Function Network...
Journal Articles
Article Type: Technical Papers
J. Dyn. Sys., Meas., Control. March 2001, 123(1): 44–48.
Published Online: October 5, 1999
... of luenberger state estimators,” IEEE Int. Conference on Neural Networks , Piscataway, New Jersey, Apr., pp. 1289–1294. Gan, C., 2000, “ Embedded radial basis function networks to compensate for modeling uncertainty of nonlinear dynamic systems ,” Doctoral dissertation, University of Massachusetts Amherst...