Design of multivariable controller based on feedback linearization for five-bar linkage manipulator
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[1] Hee-Jun Kang,et al. An online self-gain tuning method using neural networks for nonlinear PD computed torque controller of a 2-dof parallel manipulator , 2013, Neurocomputing.
[2] Hamed Kharrati,et al. Performance tuning for robot manipulators using intelligent robust controller , 2011 .
[3] Hee-Jun Kang,et al. An Adaptive Controller Using Wavelet Network for Five-Bar Manipulators with Deadzone Inputs , 2013, ICIC.
[4] I. Hassanzadeh,et al. Model following adaptive control for a robot with flexible joints , 2008, 2008 Canadian Conference on Electrical and Computer Engineering.
[5] Roger Skjetne,et al. Robust output maneuvering for a class of nonlinear systems , 2004, Autom..
[6] M. Spong,et al. Robot Modeling and Control , 2005 .
[7] Fang Sheng,et al. Genetic algorithm and simulated annealing for optimal robot arm PID control , 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.
[8] I. Hassanzadeh,et al. Design of MIMO controller for a manipulator using Tabu Search algorithm , 2007, 2007 International Conference on Intelligent and Advanced Systems.
[9] C. Kravaris,et al. Synthesis of multivariable nonlinear controllers by input/output linearization , 1990 .
[10] Christopher Nielsen,et al. Path following for mechanical systems: Experiments and examples , 2011, Proceedings of the 2011 American Control Conference.
[11] P. R. Ouyang,et al. Revisiting hybrid five-bar mechanism: Position domain control application , 2014, 2014 IEEE International Conference on Information and Automation (ICIA).
[12] Hee-Jun Kang,et al. Chattering-Free Neuro-Sliding Mode Control of 2-DOF Planar Parallel Manipulators , 2013 .