A first optimal control solution for a complex, nonlinear, tendon driven neuromuscular finger model

ASME 2010 Summer Bioengineering Conference, SBC 2010

Volumn , Issue PARTS A AND B, 2010, Pages 445-446

  Theodorou, Evangelos A ^a   Todorov, Emo ^b   Valero Cuevas, Francisco J ^a  

^a University of Southern California   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EXTENSOR MECHANISM; FEEDBACK CONTROLLER; FORCE-VELOCITY; FULLY NONLINEAR; HIGH DIMENSIONALITY; OPTIMAL CONTROL SOLUTION; OPTIMAL FEEDBACK; TENDON TENSION;

FEEDBACK CONTROL; NONLINEAR CONTROL SYSTEMS; REDUNDANT MANIPULATORS;

STOCHASTIC MODELS;

EID: 84893761906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/SBC2010-19628     Document Type: Conference Paper

References (8)

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3. E.Todorov, 2005. "Stochastic optimal control and estimation methods adapted to the noise characteristics of the sensorimotor system". Neural Computation, 17 (5), pp. 1084-1108.
4. Valero-Cuevas, F. J., Hoffmann, H., Kurse, M. U., Kutch, J. J., and Theodorou, E. A., 2009. "Computational Models for Neuromuscular Function". IEEE Reviews in Biomedical Engineering (2) October, pp. 110-135.
5. Todorov, E., and Li, W., 2005. "A generalized iterative LQG method for locally-optimal feedback control of constrained nonlinear stochastic systems". In Proceedings of the American Control Conference.
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8. Venkadesan, M., and Valero-Cuevas, F., 2008. " Neural control of motion- to force transitions with the fingertip". The journal of Neuroscience, 28 (6), pp. 1366-1373.