Publication2025
Robust Fault Detection of a Hybrid Control System Using Derivative Free Estimator and Reinforcement Learning Method
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Journal of Electronics Electromedical Engineering and Medical Informatics
- Volume
- 7
- Issue
- 1
- Pages
- 231-242
- Published
- 1 January 2025
- DOI
- 10.35882/jeeemi.v7i1.644
- Scopus ID
- 85216404141
- ISSN
- 26568632
- Authors
- 5
- Open access
- Yes
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
9 Build resilient infrastructure, promote inclusive and sustainable industrialization and foster innovation
Derivative-free estimator with reinforcement learning for fault detection in hybrid control systems achieves 98.6% accuracy.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.1 Research and development
Fault detection innovation using adaptive estimation and AI supports research capacity in intelligent control systems.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Robust Fault Detection of a Hybrid Control System Using Derivative Free Estimator and Reinforcement Learning Method”. Kortex.