Conference proceeding
Neuromorphic adaptive control
Proceedings of the 28th IEEE Conference on Decision and Control, v 2, pp 1739-1743
1989
Abstract
A neuromorphic computing architecture for adaptive control of a class of nonlinear systems is presented. Starting with some prior assumptions about stabilizability of the plants, a stable unsupervised architecture is obtained. It is a parallel distributed architecture, and it is shown that it provides bounded tracking and asymptotic regulation, following a class of teacher models. The feasibility of the method is demonstrated for a robotic manipulator.< >
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Details
- Title
- Neuromorphic adaptive control
- Creators
- I Bar-Kana - Drexel UniversityA Guez - Drexel UniversityIEEE
- Publication Details
- Proceedings of the 28th IEEE Conference on Decision and Control, v 2, pp 1739-1743
- Conference
- 28th IEEE Conference on Decision and Control, 28th
- Publisher
- IEEE
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:A1989BP96Z00388
- Other Identifier
- 991019182659704721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Mathematics, Applied