A review of PID control, tuning methods and applications
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Classical PID controllers are not designed to control nonlinear, highly complex systems, ambiguous in the absence of precise mathematical models and the existence of uncertainty in systems.
“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]
The PID controller is one of the most widely used control processes in the field of industrial applications.
“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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“…and simple design, the classical PID controllers remain the predominant control mechanism in most industrial processes, 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].”
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- 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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