Teleoperation controller design using hierarchical genetic algorithm

Hierarchical genetic algorithm (HGA) is formulated to design the H/sub /spl infin// controller for the teleoperation system used in microsurgery. Such a HGA is capable of searching the structure of the H/sub /spl infin// and its coefficients simultaneously. A multiple objective ranking scheme is also incorporated so that both the force and position transparency are optimized against any strictly passive environment.

[1]  Philip D. Loewen,et al.  Robust controller design for teleoperation systems , 1995, 1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century.

[2]  Septimiu E. Salcudean,et al.  Teleoperation controller design using H∞-optimization with application to motion-scaling , 1996, IEEE Trans. Control. Syst. Technol..

[3]  M. Safonov,et al.  Hankel model reduction without balancing-A descriptor approach , 1987, 26th IEEE Conference on Decision and Control.

[4]  Peter J. Fleming,et al.  Multiobjective optimization and multiple constraint handling with evolutionary algorithms. I. A unified formulation , 1998, IEEE Trans. Syst. Man Cybern. Part A.

[5]  Septimiu E. Salcudean,et al.  Towards a Force-Reflecting Motion-Scaling System for Microsurgery , 1994, ICRA.