Fuzzy inference system or adaptive neuro-fuzzy inference system, and intelligent agent for the dynamic generation and retrieval of user interface software modules

作者: Rene V. Mayorga Lopez

DOI:

关键词: Intelligent agentJacobian matrix and determinantMatrix (mathematics)Antecedent (logic)Series (mathematics)Range (mathematics)Adaptive neuro fuzzy inference systemComputer scienceControl theoryBasis (linear algebra)

摘要: A method of operating a target system wherein small changes in input variables produce output manner permits learning on time dependent basis. The rate change the is directly upon product and matrix consisting antecedent consequent parameters. preferred performance criterion obtained through approximation said to weighted-augmented pseudo-inverse Jacobian. Off-line, undergoes series iterations using wide range actual outputs are compared desired optimized values for parameters passed back use subsequent iteration.

参考文章(5)
R.A. Graca, You-Liang Gu, A fuzzy learning algorithm for kinematic control of a robotic system conference on decision and control. pp. 1274- 1279 ,(1993) , 10.1109/CDC.1993.325391
Yansong Shan, Y. Koren, Obstacle accommodation motion planning international conference on robotics and automation. ,vol. 11, pp. 36- 49 ,(1995) , 10.1109/70.345936
Y. Xu, M. Nechyba, Fuzzy inverse kinematic mapping: rule generation, efficiency, and implementation intelligent robots and systems. ,vol. 2, pp. 911- 918 ,(1993) , 10.1109/IROS.1993.583251
Jun Zhou, G.V.S. Raju, Fuzzy rule-based approach for robot motion control in the presence of obstacles systems man and cybernetics. ,vol. 4, pp. 662- 667 ,(1993) , 10.1109/ICSMC.1993.390791