Title

Evolutionary computation approaches to tip position controller design for a two-link flexible manipulator

Journal title

Archives of Control Sciences

Yearbook

2011

Issue

No 3

Authors

Bidyadhar Subudhi ; Subhakanta Ranasingh ; Swain, Ajaha

Divisions of PAS

Nauki Techniczne

Publisher

Committee of Automatic Control and Robotics PAS

Date

2011

Identifier

DOI: 10.2478/v10170-010-0043-2 ; ISSN 1230-2384

Source

Archives of Control Sciences; 2011; No 3

References

Ozcelik S. (2009), Adaptive Control. ; Han W-Y. (1999), Development of a self-tuning PID controller based on neural network for nonlinear systems, null, 28. ; Subudhi B. (2003), Fuzzy and neuro-fuzzy approaches to control a flexible single-link manipulator, Proc. Instn. Mech. Engrs, 217. ; Yongquan Y. (2004), Fuzzy Neural PID controller and tuning its weight factors using genetic algorithm based on Werent location crossover, null. ; Fogel D. (null), The advantages of evolutionary computation. ; A. De Luca (1991), Closed-form dynamic model of planar multi-link lightweight robots, IEEE Trans. on Systems, Man, and Cybernetics, 21, 4, 826, doi.org/10.1109/21.108300 ; Goldberg D. (1989), Genetic algorithm in search, optimization and machine learning. Reading. ; Ge S. (1996), Genetic algorithm tuning of Lyapunov-based controllers: An application to a single-link flexible robot system, IEEE Trans. on Industrial Electronics, 43, 5, 567, doi.org/10.1109/41.538614 ; Passino K. (2002), Biomimicry of bacterial foraging for distributed optimization and control, IEEE. Control Syst. Mag, 52, doi.org/10.1109/MCS.2002.1004010 ; Das S. (2009), Foundations of Computational Intelligence, 3 ser. Studies in Computational Intelligence, 203, 23, doi.org/10.1007/978-3-642-01085-9_2