Abstract
In this paper we show in simulation that if the controller and the filter are combined into a single computational unit operating like a Maxwell's demon, controller-filtered noise can successfully control a system of interest. Using this method, we perform Monte Carlo tests for the swing-up control of the cart pendulum, acrobot and pendubot systems. Results show that filtered noise can indeed act as a swing-up controller, leading these systems to configurations where a locally stabilizing controller can complete the stabilization process. Potential applications of this work include the development of reliable, never-failing human-machine interfaces for rehabilitation, training and skill evaluation.
Original language | English (US) |
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Title of host publication | 54rd IEEE Conference on Decision and Control,CDC 2015 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 4368-4374 |
Number of pages | 7 |
ISBN (Electronic) | 9781479978861 |
DOIs | |
State | Published - Feb 8 2015 |
Event | 54th IEEE Conference on Decision and Control, CDC 2015 - Osaka, Japan Duration: Dec 15 2015 → Dec 18 2015 |
Publication series
Name | Proceedings of the IEEE Conference on Decision and Control |
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Volume | 54rd IEEE Conference on Decision and Control,CDC 2015 |
ISSN (Print) | 0743-1546 |
ISSN (Electronic) | 2576-2370 |
Other
Other | 54th IEEE Conference on Decision and Control, CDC 2015 |
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Country/Territory | Japan |
City | Osaka |
Period | 12/15/15 → 12/18/15 |
Funding
This material is based upon work supported by the National Science Foundation under Grant CNS 1329891. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
ASJC Scopus subject areas
- Control and Systems Engineering
- Modeling and Simulation
- Control and Optimization