Write in a clean editor, then format for Systems Science & Control Engineering in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Systems Science & Control Engineering is a peer-reviewed journal published by Taylor & Francis, covering Adaptive Control of Nonlinear Systems, Fault Detection and Control Systems, Stability and Control of Uncertain Systems.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Systems Science & Control Engineering 12 (3): 45–58.
Formats any DOI in Systems Science & Control Engineering style. No sign-up. |
| Publishes research in | Adaptive Control of Nonlinear Systems Fault Detection and Control Systems Stability and Control of Uncertain Systems Neural Networks Stability and Synchronization Distributed Control Multi-Agent Systems |
| ISSN | 2164-2583 |
| Citation impact (2-yr) | 5.04 |
| h-index | 46 |
| i10-index | 317 |
| Total citations | 15,265 |
| Article processing charge | $1,165 |
| Open access | Yes |
| Top institutions publishing here | Shandong University of Science and Technology |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
In this paper, a novel swarm optimization approach, namely sparrow search algorithm (SSA), is proposed inspired by the group wisdom, foraging and anti-predation behaviours of sparrows. Experiments on 19 benchmark functions are conducted to test the performance of the SSA and its performance is compared with other algorithms such as grey wolf optimizer (GWO), gravitational…
Ensemble classification is a data mining approach that utilizes a number of classifiers that work together in order to identify the class label for unlabeled instances. Random forest (RF) is an ensemble classification approach that has proved its high accuracy and superiority. With one common goal in mind, RF has recently received considerable attention from…
The event-based strategies have recently received considerable research attention due primarily to their irreplaceable superiority in resource-constrained systems. Compared with the widely adopted time-driven schemes, such novel event-based schemes have advantages of improving the efficiency in resource utilization in many real applications. Event-based strategies represent an effective way of generating sporadic executions, where an execution…
Knowledge of tire–road friction conditions is indispensable for many vehicle control systems. In particular, friction information can be used to enhance the performance of wheel slip control systems, for example, knowledge of the current maximum coefficient of friction would allow an anti-lock brake system (ABS) controller to start braking with the optimal brake pressure, meaning…
In this paper, the cooperative control of heterogeneous multi-agent systems (HMASs) subject to certain constraints are surveyed. First, HMASs are classified into two categories, namely, weak and strong HMASs, according to different cooperative behaviours. Then, control strategies are discussed for HMASs when facing different sorts of constraints imposed on the agent dynamics and on the…
