A Review on Embedded Instrumentation and Control Systems for Precision Engineering
Abstract
Embedded instrumentation and control systems play a crucial role in precision engineering, enabling high-accuracy measurements, real-time monitoring, and automated control across various industries. These systems integrate sensors, microcontrollers, actuators, and communication networks to enhance manufacturing, medical devices, robotics, and aerospace applications. This review explores the architecture, key components, technological advancements, and challenges associated with embedded instrumentation and control systems in precision engineering. Emerging trends such as AI-driven control, IoT-enabled smart instrumentation, and quantum sensors are also discussed.
References
1.Kazmierkowski MP. High Performance Control of ac Drives with MATLAB/Simulink Models [Book News]. IEEE
Industrial Electronics Magazine. 2012 Dec 11;6(4):68-9.
2. Yan W, Wang J, Lu S, Zhou M, Peng X. A review of real-time fault diagnosis methods for industrial smart
manufacturing. Processes. 2023 Jan 24;11(2):369.
3. Decotignie JD. Ethernet-based real-time and industrial communications. Proceedings of the IEEE. 2005 May
31;93(6):1102-17.
4. Xu R, Razavi S, Zheng R. Edge video analytics: A survey on applications, systems and enabling techniques.
IEEE Communications Surveys & Tutorials. 2023 Oct
10;25(4):2951-82.
5. Visconti P, Velázquez R, Soto CD, De Fazio R. FPGA based technical solutions for high throughput data
processing and encryption for 5G communication: A review. TELKOMNIKA (Telecommunication Computing
Electronics and Control). 2021 Aug 1;19(4):1291-306.
6. Chou A, Irwin K, Maruyama RH, Baker OK, Bartram C, Berggren KK, Cancelo G, Carney D, Chang CL, Cho HM,
Garcia-Sciveres M. Quantum sensors for high energy physics. arXiv preprint arXiv:2311.01930. 2023 Nov 3.
7. Pan YJ, Buchanan S, Chen Q, Wan L, Chen N, Forbrigger S, Smith S. Survey on recent advances in planning
and control for collaborative robotics. IEEJ Journal of Industry Applications. 2025 Mar 1;14(2):139-51.
8. Zhao R, Li Y, Fan Y, Gao F, Tsukada M, Gao Z. A Survey on Recent Advancements in Autonomous Driving
Using Deep Reinforcement Learning: Applications, Challenges, and Solutions. IEEE Transactions on Intelligent Transportation Systems. 2024 Sep 18.
9. Aloseel A, He H, Shaw C, Khan MA. Analytical review of cybersecurity for embedded systems. Ieee Access.
2020 Dec 21;9:961-82.
10. Nguyen CC, Wong S, Thai MT, Hoang TT, Phan PT, Davies J, Wu L, Tsai D, Phan HP, Lovell NH, Do TN.
Advanced user interfaces for teleoperated surgical robotic systems. Advanced Sensor Research. 2023 Apr;2(4):2200036.
11. Nain G, Pattanaik KK, Sharma GK. Towards edge computing in intelligent manufacturing: Past, present
and future. Journal of Manufacturing Systems. 2022 Jan 1;62:588-611.
12. Pantelopoulos A, Bourbakis N. A survey on wearable biosensor systems for health monitoring. In2008 30th
Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2008 Aug 20 (pp. 4887-
4890). IEEE.
Industrial Electronics Magazine. 2012 Dec 11;6(4):68-9.
2. Yan W, Wang J, Lu S, Zhou M, Peng X. A review of real-time fault diagnosis methods for industrial smart
manufacturing. Processes. 2023 Jan 24;11(2):369.
3. Decotignie JD. Ethernet-based real-time and industrial communications. Proceedings of the IEEE. 2005 May
31;93(6):1102-17.
4. Xu R, Razavi S, Zheng R. Edge video analytics: A survey on applications, systems and enabling techniques.
IEEE Communications Surveys & Tutorials. 2023 Oct
10;25(4):2951-82.
5. Visconti P, Velázquez R, Soto CD, De Fazio R. FPGA based technical solutions for high throughput data
processing and encryption for 5G communication: A review. TELKOMNIKA (Telecommunication Computing
Electronics and Control). 2021 Aug 1;19(4):1291-306.
6. Chou A, Irwin K, Maruyama RH, Baker OK, Bartram C, Berggren KK, Cancelo G, Carney D, Chang CL, Cho HM,
Garcia-Sciveres M. Quantum sensors for high energy physics. arXiv preprint arXiv:2311.01930. 2023 Nov 3.
7. Pan YJ, Buchanan S, Chen Q, Wan L, Chen N, Forbrigger S, Smith S. Survey on recent advances in planning
and control for collaborative robotics. IEEJ Journal of Industry Applications. 2025 Mar 1;14(2):139-51.
8. Zhao R, Li Y, Fan Y, Gao F, Tsukada M, Gao Z. A Survey on Recent Advancements in Autonomous Driving
Using Deep Reinforcement Learning: Applications, Challenges, and Solutions. IEEE Transactions on Intelligent Transportation Systems. 2024 Sep 18.
9. Aloseel A, He H, Shaw C, Khan MA. Analytical review of cybersecurity for embedded systems. Ieee Access.
2020 Dec 21;9:961-82.
10. Nguyen CC, Wong S, Thai MT, Hoang TT, Phan PT, Davies J, Wu L, Tsai D, Phan HP, Lovell NH, Do TN.
Advanced user interfaces for teleoperated surgical robotic systems. Advanced Sensor Research. 2023 Apr;2(4):2200036.
11. Nain G, Pattanaik KK, Sharma GK. Towards edge computing in intelligent manufacturing: Past, present
and future. Journal of Manufacturing Systems. 2022 Jan 1;62:588-611.
12. Pantelopoulos A, Bourbakis N. A survey on wearable biosensor systems for health monitoring. In2008 30th
Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2008 Aug 20 (pp. 4887-
4890). IEEE.
Published
2025-05-03
How to Cite
SINGH, Rachit.
A Review on Embedded Instrumentation and Control Systems for Precision Engineering.
Journal of Advanced Research in Embedded System, [S.l.], v. 12, n. 1&2, p. 1-6, may 2025.
ISSN 2395-3802.
Available at: <http://www.thejournalshouse.com/index.php/ADR-Journal-Embedded-Systems/article/view/1438>. Date accessed: 04 may 2025.
Section
Review Article
