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A review of PID control, tuning methods and applications
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“but they are not designed to control nonlinear, highly complex systems, ambiguous in the absence of precise mathematical models and the existence of uncertainty in systems [1].”
From Deep reinforcement learning-based adaptive fuzzy control for electro-hydraulic servo system (2025) · cites this paper as [1]
In the citing paper
“The PID controller is one of the most widely used control processes in the field of industrial applications [32].”
From A comparative study on time-delay estimation for time-delay nonlinear system control (2025) · cites this paper as [32]
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Metadata
- Authors
- Borase, R. P., Maghade, D. K., Sondkar, S. Y., & Pawar, S. N.
- Affiliations
- Vishwakarma Institute of Technology (IN)
- Corresponding author
- Borase, Rakesh P.
- Maghade, D. K.
- Sondkar, S. Y.
- Pawar, S. N.
- Venue
- International Journal of Dynamics and Control
- Published
- 2020-07-17
- Volume
- 9
- Issue
- 2
- Pages
- 818-827
- ISSN
- 2195-268X (ISSN-L)
- 2195-2698
- OpenAlex
- W3043705189
- Cited by
- 1,036
- References
- 138
- Citations by year
- 2026: 156 · 2025: 295 · 2024: 253 · 2023: 188 · 2022: 92 · 2021: 50 · 2020: 2
- FWCI
- 41.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Dynamics and Control (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Optimization
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Algorithms and Applications
- Keywords
- PID control, PID controller tuning, tuning methods, intelligent control, biomedical applications, control applications
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