A general and unique approach to the analysis and synthesis of control systems in the parameter plane is presented which may be advantageously applied to the design of linear continuous systems, sampled-data systems, nonlinear systems, and systems with distributed parameters. This paper is concerned with the application of the method to linear continuous systems. As…
IEEE Transactions on Applications and Industry Template
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About the IEEE Transactions on Applications and Industry format
IEEE Transactions on Applications and Industry is a peer-reviewed journal published by IEEE, covering Control Systems and Identification, Advanced Control Systems Optimization, Sensor Technology and Measurement Systems.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on Applications and Industry, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Applications and Industry style. No sign-up. |
| Publishes research in | Control Systems and Identification Advanced Control Systems Optimization Sensor Technology and Measurement Systems Fault Detection and Control Systems Iterative Learning Control Systems |
| ISSN | 0536-1524 |
| h-index | 15 |
| i10-index | 35 |
| Total citations | 966 |
| Top institutions publishing here | General Electric (United States) |
| Journal website | ieeexplore.ieee.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
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Most-cited papers in IEEE Transactions on Applications and Industry
The purpose of this paper is to develop a fairly general approach to adaptive control systems which, at the same time, can be mechanized in a reasonable fashion. The development is carried out initially for a simple system with a linear time variant physical process and then extended to the general linear time variant case.…
Optimum design of sampleddata systems with quantized control signals is considered. The control signals m <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</inf> (k) are members of a set [- <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CL</inf> , ... - <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C2</inf> , - <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">C1</inf> , 0, C <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</inf> , C <inf xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</inf> , ... C <inf xmlns:mml="http://www.w3.org/1998/Math/MathML"…
Adaptive or self-optimizing systems utilize feedback principles to achieve automatic performance optimization. These principles have been applied to both control systems and adaptive logic structures. The Adaline (adaptive linear threshold element) is essentially the same as an adaptive sampled-data system with quantized input and output signals. A digital controller made of adaptive neurons comprises a…