... 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...

... 2009 10 10 2010 06 04 2011 06 04 2011 evolutionary computation fuzzy reasoning learning (artificial intelligence) statistical analysis learning fuzzy rule fine tuning novel evolutionary algorithm rule reduction interpretability statistical analysis Fuzzy rule...

.... Experimental results are presented to show that the AFM-imaging speed can be substantially increased. 18 06 2008 27 04 2009 06 11 2009 06 11 2009 atomic force microscopy electric current control feedforward learning (artificial intelligence) neurocontrollers position control...

... result of operation planning using the GA. 13 09 2007 28 10 2008 19 03 2009 biofuel genetic algorithms hydrogen production learning (artificial intelligence) proton exchange membrane fuel cells solar absorber-convertors solar radiation steam bioethanol solar reforming...

... University Press , New York . 23 06 2006 25 01 2007 control engineering computing decentralised control hydraulic actuators learning (artificial intelligence) manipulators motion control neural nets The second approach to coordinated control of multiple robots is known...

... structures with a small number of experimental data to demonstrate the concept. The accuracy of developed models is validated through independent sets of grinding experiments. 29 July 2001 21 January 2004 11 03 2005 grinding fuzzy neural nets learning (artificial intelligence...

... Division December 26, 2003. Associate Editor: F. Ghorbel. 26 December 2003 03 12 2004 learning systems uncertain systems iterative methods learning (artificial intelligence) linear systems adaptive control stability inverse problems Iterative learning control (ILC...

... of track and balance. 26 03 2003 02 05 2004 mechanical engineering computing learning (artificial intelligence) helicopters blades vibrations Helicopter track and balance is the process of adjusting the rotor blades to reduce the aircraft vibration and the track spread...

... and Control Division June 31, 1999. Associate Editor: S. Fassois. 31 June 1999 internal combustion engines intelligent sensors fault diagnosis feedforward neural nets learning (artificial intelligence) real-time systems As a first and essential step to improve diesel engines...

... vibrations. flexible manipulators multivariable control systems learning (artificial intelligence) feedforward control nonlinearities optimal control filtering theory delay filters Having flexibility in a mechanical manipulator will degrade trajectory tracking control and manipulator tip...