Master of Science (MS)
Electrical and Computer Engineering
Number of Pages
The theory of Gaussian radial based function neural networks is developed along with a stable adaptive weight training law founded upon Lyapunov stability theory. This is applied to the control of a nonlinear multi-linked robotic manipulator for the general case of N links. Simulations of a two link system are performed and demonstrate the derived principles.
Application; Function; Gaussian; Manipulator; Networks; Neural; Radial; Robotic
Electrical engineering; Artificial intelligence
University of Nevada, Las Vegas
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Mizerek, Robert T, "An application of Gaussian radial based function neural networks for the control of a nonlinear multi link robotic manipulator" (1994). UNLV Retrospective Theses & Dissertations. 385.