Structured matrices and fast RLS adaptive filtering : A.H. Sayed, T. Kailath, pp 211–216
- Book ID
- 103987291
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 129 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0967-0661
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✦ Synopsis
applying it to a PUMA 650 robot with a simulated prismatic joint inserted between the elbow md the wrist to obtain an extra degree of freedom.
187 System Identification Using Neural Networks K. Eado, Y. Ishida, pp 129-134
This paper presents an identification method of dynamical systems using neural networks. Simulation results show that the proposed algorithm is superior to the standard back-propagation algorithm when applied to the identification problem of a linear dynamical system. Fur, hennore this paper describes a gain adjustment method of I-PD control systems using neural networks. The weights of a neural network are considered compensation elements of an I-PD controller. These weights are given by learning the neural network. The conjugate gradient method is then utilized as the learning algorithm. Simulation results show that this method is effective to deal with unknown dynamical systems.