Model-based tracking for agent-based control systems in the case of sensor failures-Reference-Cited by-同舟云学术

Model-based tracking for agent-based control systems in the case of sensor failures

Published:2012-12 Issue:6 Volume:9 Page:561-569
ISSN:1476-8186
Container-title:International Journal of Automation and Computing
language:en
Short-container-title:Int. J. Autom. Comput.

Author:

Yadav R. P.,Varde P. V.,Nataraj P. S. V.,Fatnani P.,Navathe C. P.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11633-012-0680-y.pdf

Reference24 articles.

1. T. Higo, H. Shaoee, J. E. Spencer. Some applications of AI to the problems of accelerator physics. In Proceedings of the 12th IEEE Particle Accelerator Conference, IEEE, Washington DC, USA, pp. 701–703, 1987.

2. D. P. Weygand. Artificial intelligence and accelerator control. In Proceedings of the 12th IEEE Particle Accelerator Conference, IEEE, Washington DC, USA, pp. 564–566, 1987.

3. M. Lee, S. Clearwater. GOLD: Integration of model-based control systems with artificial intelligence and workstations. In Proceedings of Workshop on Model-based Accelerator Controls, Brookhaven National Laboratory, Upton, New York, USA, pp. 1–8 1987.

4. J. E. Spencer. Accelerator diagnosis and control by neutral nets. In Proceedings of the 1989 IEEE Particle Accelerator Conference, IEEE, Chicago, Illinois, pp. 1642–1644, 1989.

5. A. Corneliusen, P. Terdal, T. Knight, J. Spencer. Computation and control with neural networks. Nuclear Instruments and Methods in Physics Research Section A, vol. 293, pp. 507–516, 1990.

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ARM SoC-Based VME CPU Board Development Using Open-Source Framework for Intelligent Accelerator Control System;Reliability, Safety and Hazard Assessment for Risk-Based Technologies;2019-08-31

2. Optimal matching control of a low energy charged particle beam in particle accelerators;IEEE/CAA Journal of Automatica Sinica;2019-03

3. Neural Networks for Modeling and Control of Particle Accelerators;IEEE Transactions on Nuclear Science;2016-04

4. A Quality-aware Incremental LMS Algorithm for Distributed Adaptive Estimation;International Journal of Automation and Computing;2014-12

5. Predictive Output Feedback Control for Networked Control Systems;IEEE Transactions on Industrial Electronics;2014-01