Title :
Hierarchical optimal control of a 7-DOF arm model
Author :
Liu, Dan ; Todorov, Emanuel
Author_Institution :
Dept. of Cognitive Sci., UC San Diego, San Diego, CA
fDate :
March 30 2009-April 2 2009
Abstract :
We apply a hierarchical control framework to a realistic arm model. With 7 degrees of freedom and 14 muscles, this arm model has complex nonlinear dynamics operating on 28-dimensional state space and 14-dimensional control space. A high-level controller is designed to capture the main features of the complex high-dimensional plant dynamics but with reduced dimensionality. This allows us to solve the original optimal control problem without running into the curse of dimensionality. We also provide a method to design a low-level controller to generate arm configurations that are consistent with high-level controls and at the same time satisfy biological constraints. To the best of our knowledge, this is the first feedback controller for a detailed 3-D model of a human arm.
Keywords :
control system synthesis; feedback; manipulator dynamics; nonlinear dynamical systems; optimal control; 14-dimensional control space; 28-dimensional state space; 7-DOF arm model; biological constraints; complex nonlinear dynamics; feedback controller; hierarchical optimal control; high-level controller; realistic arm model; Adaptive control; Biological control systems; Biological system modeling; Circuits; Design methodology; Humans; Muscles; Optimal control; State-space methods; Time factors;
Conference_Titel :
Adaptive Dynamic Programming and Reinforcement Learning, 2009. ADPRL '09. IEEE Symposium on
Conference_Location :
Nashville, TN
Print_ISBN :
978-1-4244-2761-1
DOI :
10.1109/ADPRL.2009.4927525