The DOI matches its Crossref record; 27 of the 28 references it cites were found in a registry or an index.
Robust identification of pneumatic servo actuators in the real situations
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“These facts make it di cult to realize high-quality control of the HSA, which cannot be achieved without knowing the accurate HSA model [5-8].”
From Data-driven control of hydraulic servo actuator: An event-triggered adaptive dynamic programming approach (2023) · cites this paper as [6]
Citations
Cites
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Cited by
Sorted by citations
Deep learning and its applications to machine health monitoring
Zhao, R., Yan, R., Chen, Z., Mao, K., Wang, P., & Gao, R. X. (2019) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2018.05.050 · Cited by 2,894
Raju, M. S. S., Gupta, M. K., Bhanot, N., & Sharma, V. S. (2018) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-018-1420-0 · Cited by 161
Stojanović, V., He, S., & Zhang, B. (2020) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.5131 · Cited by 126
A review on recent research trends in servo pneumatic positioning systems
Saravanakumar, D., Mohan, B., & Muthuramalingam, T. (2017) · Precision Engineering · doi:10.1016/j.precisioneng.2017.01.014 · Cited by 121
Stojanović, V., & Nedić, N. N. (2015) · International Journal of Robust and Nonlinear Control · doi:10.1002/rnc.3319 · Cited by 116
Metadata
- Authors
- Filipovic, V., Nedic, N., & Stojanovic, V.
- Venue
- Forschung im Ingenieurwesen
- Published
- 2011-11-03
- Volume
- 75
- Issue
- 4
- Pages
- 183-196
- ISSN
- 0015-7899 (ISSN-L)
- 1434-0860
- OpenAlex
- W69024212
- Cited by
- 109
- References
- 28
- Citations by year
- 2026: 2 · 2025: 12 · 2024: 16 · 2023: 9 · 2022: 11 · 2021: 5 · 2020: 13 · 2019: 12 · 2018: 17 · 2017: 1 · 2016: 3 · 2015: 5 · 2014: 1 · 2013: 2
- FWCI
- 1.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Forschung im Ingenieurwesen (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Control Systems and Identification
- Physical Sciences › Engineering › Mechanical Engineering › Hydraulic and Pneumatic Systems
- Physical Sciences › Computer Science › Artificial Intelligence › Target Tracking and Data Fusion in Sensor Networks
- Keywords
- parameter estimation, robust Kalman filter, linear stochastic systems, time-varying parameters, nonlinear system identification, Huber function, Fisher information, persistent excitation, non-Gaussian noise, discharge coefficient, temperature effects
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