Conference proceeding
The role of a priori knowledge of plant dynamics in neurocontroller design
Proceedings of the 28th IEEE Conference on Decision and Control, v 2, pp 1754-1758
1989
Abstract
The authors modify an earlier neurocontroller architecture so as to guarantee the performance of the neurocontroller. This architecture uses a priori knowledge of the general structure of the system's dynamics. The knowledge is utilized for the selection of exploratory schedules to excite selected subsets of the dynamics. The controller does not require a priori knowledge of the exact system dynamics, as they are learned online, nor does it assume the existence of an explicit external teacher. The control architecture developed is not limited to tracking of a prespecified trajectory. The architecture is developed for the control of a robot manipulator.< >
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Details
- Title
- The role of a priori knowledge of plant dynamics in neurocontroller design
- Creators
- J.W Selinsky - Drexel UniversityA Guez - Drexel UniversityIEEE
- Publication Details
- Proceedings of the 28th IEEE Conference on Decision and Control, v 2, pp 1754-1758
- 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:A1989BP96Z00394
- Other Identifier
- 991019182644804721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Electrical & Electronic
- Mathematics, Applied