Designing and tuning a proportional-integral-derivative (PID) controller appears to be conceptually intuitive, but can be hard in practice, if multiple (and often conflicting) objectives such as short transient and high stability are to be achieved. Usually, initial designs obtained by all means need to be adjusted repeatedly through computer simulations until the closed-loop system performs…
IEEE Transactions on Control Systems Technology Template
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About the IEEE Transactions on Control Systems Technology format
IEEE Transactions on Control Systems Technology is a peer-reviewed journal published by IEEE, covering Advanced Control Systems Optimization, Adaptive Control of Nonlinear Systems, Iterative Learning Control Systems. Over its lifetime it has published 5,703 papers, which have received 298,926 citations.
| 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 Control Systems Technology, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on Control Systems Technology style. No sign-up. |
| Abbreviation (ISO-4) | TCST |
| Publishes research in | Advanced Control Systems Optimization Adaptive Control of Nonlinear Systems Iterative Learning Control Systems Fault Detection and Control Systems Stability and Control of Uncertain Systems |
| ISSN | 1063-6536 |
| Citation impact (2-yr) | 3.45 |
| h-index | 217 |
| i10-index | 3,924 |
| Top institutions publishing here | University of Michigan |
| Journal website | www.ieeecss.org |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in IEEE Transactions on Control Systems Technology per year
Citation impact of IEEE Transactions on Control Systems Technology by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in IEEE Transactions on Control Systems Technology
Presents a guide to sliding mode control for practicing control engineers. It offers an accurate assessment of the so-called chattering phenomenon, catalogs implementable sliding mode control design solutions, and provides a frame of reference for future sliding mode control research.
We introduce a novel control network protocol, try-once-discard (TOD), for multiple-input-multiple-output (MIMO) networked control systems (NCSs), and provide an analytic proof of global exponential stability for both the new protocol and the more commonly used (statically scheduled) access methods. Our approach is to first design the controller using established techniques and considering the network transparency,…
In this paper, a model predictive control (MPC) approach for controlling an active front steering system in an autonomous vehicle is presented. At each time step, a trajectory is assumed to be known over a finite horizon, and an MPC controller computes the front steering angle in order to follow the trajectory on slippery roads…
A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A well-known technique for implementing fast MPC is to compute the entire control law offline, in which case the online controller can be…