Title of article :
A NEURO-CONTROL DESIGN USING FUZZY CREDIT ASSIGNMENT: BASED ON REINFORCEMENT LEARNING
Author/Authors :
KATEBI، S. D. نويسنده , , JAHANMIRE، A. H. نويسنده ,
Issue Information :
دوفصلنامه با شماره پیاپی سال 1998
Abstract :
A software package is described which has been developed to symbolically compute the kinematics and dynamics of a robot. The software utilizes MACSYMA, a LISP-based symbolic computer algebra language, to automatically generate closed-form expressions of forward and inverse kinematics solutions, the Jacobian transformation matrix, and the Lagrange-Euler dynamics formulation of a robotic manipulator with N-degree of freedom.
Keywords :
control , Fuzzy , Reinforcement , Neuro , credit
Journal title :
Iranian Journal of Science and Technology: Transactions of Civil Engineering
Journal title :
Iranian Journal of Science and Technology: Transactions of Civil Engineering