A tutorial review on process identification from step or relay feedback test
Step and relay feedback tests have been widely used for model identification in the process
industry. The corresponding identification methods developed in the past three decades are …
industry. The corresponding identification methods developed in the past three decades are …
An energy efficient architecture for furnace monitor and control in foundry based on industry 4.0 using IoT
The global standards in the field of industrial automation are maintained in industries by
completely digitizing their manufacturing process with industry 4.0 standard. Internet of …
completely digitizing their manufacturing process with industry 4.0 standard. Internet of …
[KSIĄŻKA][B] Industrial process identification and control design: step-test and relay-experiment-based methods
Industrial Process Identification and Control Design is devoted to advanced identification
and control methods for the operation of continuous-time processes both with and without …
and control methods for the operation of continuous-time processes both with and without …
Parameter estimation using relay feedback
K Dharmalingam, T Thangavelu - Reviews in Chemical Engineering, 2019 - degruyter.com
In process industries, closed-loop step and closed-loop relay feedback tests are popularly
used for estimating model parameters. In this paper, different methods available in the …
used for estimating model parameters. In this paper, different methods available in the …
IMC-based iterative learning control for batch processes with uncertain time delay
Based on the internal model control (IMC) structure, an iterative learning control (ILC)
scheme is proposed for batch processes with model uncertainties including time delay …
scheme is proposed for batch processes with model uncertainties including time delay …
Enhanced IMC design of load disturbance rejection for integrating and unstable processes with slow dynamics
In view of the deficiencies in existing internal model control (IMC)-based methods for load
disturbance rejection for integrating and unstable processes with slow dynamics, a modified …
disturbance rejection for integrating and unstable processes with slow dynamics, a modified …
Complex correntropy: Probabilistic interpretation and application to complex-valued data
JPF Guimaraes, AIR Fontes, JBA Rego… - IEEE Signal …, 2016 - ieeexplore.ieee.org
Recent studies have demonstrated that correntropy is an efficient tool for analyzing higher
order statistical moments in non-Gaussian noise environments. Although correntropy has …
order statistical moments in non-Gaussian noise environments. Although correntropy has …
Optimal Temperature Control Scheme for Milk Pasteurization Process Using Different Tuning Techniques for a Proportional Integral Derivative Controller.
Milk is one of the important dairy foods, which forms an essential building block in the feed
formulation for infant and growing children, and adults alike. However, the quality of the final …
formulation for infant and growing children, and adults alike. However, the quality of the final …
An instrumental variable approach for rigid industrial robots identification
This paper deals with the important topic of rigid industrial robots identification. The usual
identification method is based on the use of the inverse dynamic model and the least …
identification method is based on the use of the inverse dynamic model and the least …
Graphel: A graph-based ensemble learning method for distributed diagnostics and prognostics in the industrial internet of things
Ensemble learning (EL) methods have been shown to be effective for diagnostics and
prognostics in industrial systems. By combining the learning ability of different base learners …
prognostics in industrial systems. By combining the learning ability of different base learners …