Comparison of transient performance in the control of soft tissue grasping

IEEE International Conference on Intelligent Robots and Systems

Volumn , Issue , 2007, Pages 1809-1814

  Yu, Xiaolong ^a   Chizeck, Howard Jay ^a   Hannaford, Blake ^a  

^a University of Washington   (United States)

Author keywords

Deadbeat control; Feedback linearization; Model predictive control; PID control; Robot assisted surgery; Soft tissue grasping; Trajectory following; Transient control

Indexed keywords

DEADBEAT CONTROL; FEEDBACK LINEARIZATION; PID CONTROL; ROBOT-ASSISTED SURGERY; SOFT TISSUE GRASPING; TRAJECTORY FOLLOWING; TRANSIENT CONTROL;

BIOMECHANICS; COMPUTATIONAL METHODS; COMPUTER NETWORKS; COMPUTER SIMULATION; INTELLIGENT ROBOTS; INTELLIGENT SYSTEMS; LINEARIZATION; MECHANICAL PROPERTIES; PROPORTIONAL CONTROL SYSTEMS; ROBOTICS; ROBOTS; SURGICAL EQUIPMENT; TRANSPLANTATION (SURGICAL);

MODEL PREDICTIVE CONTROL;

EID: 51349146511     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2007.4399482     Document Type: Conference Paper

References (14)

1. D. B. Camarillo, T. M. Krummel, and J. K. Salisbury. Robotic technology in surgery: Past, present, and future. The American Journal of Surgery, 188(4):2-15, 2004.
2. J. D. Brown. In-Vivo and Postmortem Biomechanics of Abdominal Organs Under Compressive Loads: Experimental Approach in a Laparoscopic Surgery Setup. PhD thesis, University of Washington, 2003.
3. Y. C. Fung. Biomechanics: Mechanical Properties of Living Tissues, Second Ed. Springer-Verlag, New York, 1993.
4. X. Wu, M. S. Downes, T. Goktekin, and F. Tendick. Adaptive nonlinear finite elements for deformable body simulation using dynamic progressive meshes. Computer Graphics Forum, 20(3):349-358, 2001.
5. J. D. Brown, J. Rosen, Y. S. Kim, L. Chang, M. Sinanan, and B. Hannaford. In-vivo and in-situ compressive properties of porcine abdominal soft tissues. In Studies in Health Technology and Informatics - Medicine Meets Virtual Reality, volume 94, pages 26-32, Newport Beach, CA, USA, January 2003.
6. J. Kennedy and R. Eberhart. Particle swarm optimization. In IEEE International Conference on Neural Networks, pages 1942-1948, Nov. 1995.
7. R. C. Dorf and R. H. Bishop. Modem Control Systems, 8th Edition. Addison-Wesley, Menlo Park, CA, 1998.
8. J.J.E. Slotine and W. Li. Applied nonlinear control. Prentice Hall, Englewood Cliffs, NJ, 1991.
9. R. Marino and P. Tomei. Nonlinear Control Design: Geometric, Adaptive and Robust. Prentice Hall, London, 1995.
10. S. Sastry. Nonlinear Systems: Analysis, Stability, and Control. Springer-Verlag, New York, 1999.
11. D.P. Bertsekas. Dynamic Programming and Optimal Control, 2nd Edition. Athena Scientific, Belmont, MA, 2001.
12. J. T. Betts. Survey of numerical methods for trajectory optimization. Journal of Guidance, Control, and Dynamics, 21(2):193-207, March 1998.
13. D. Q. Mayne, J. B. Rawhngs, C. V. Rao, and P. O. M. Scokaert. Constrained model predictive control: Stability and optimality. Automatioa, 36(6):789-814, December 2000.
14. J. A. Primbs, V. Nevistic, and J. C. Doyle. A receding horizon generalization of pointwise min-norm controllers. IEEE Transaction on Automatic Control, 45(5):898-909, May 2000.