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Skip to Search Results- 16Process control
- 3Adaptive control systems
- 3Chemical process control--Automation
- 2Computer vision
- 2Feedback control systems
- 1Bayesian inference
- 1Alevisakis, George.
- 1Amiri, Mohammad Sadegh
- 1Bhargava, Abhishek
- 1Dogru, Oguzhan
- 1Kwok, Kun-Yu.
- 1Lau, Eric K. C.
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Spring 2024
In the process industry, certain quality variables cannot be measured regularly due to technical limitations or economic constraints. Consequently, the industry relies on laboratory analysis to measure such quality variables. However, laboratory analysis introduces long time-delays in obtaining...
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Spring 2023
Process industries involve processes that have complex, interdependent, and sometimes uncontrollable/unobservable features that are subject to a variety of uncertainties such as operational fluctuations, sensory noises, process anomalies, human involvement, market volatility, and so forth. In the...
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Fall 2009
Proportional, integral and derivative (PID) controller tuning guidelines in process industry have been in place for over six decades. Nevertheless despite their long design history PID tuning has remained an ‘art’ and no single comprehensive solution yet exists. In this study various...