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International Journal of Systems Science is a peer-reviewed journal published by Taylor & Francis, covering Stability and Control of Uncertain Systems, Adaptive Control of Nonlinear Systems, Control Systems and Identification. Over its lifetime it has published 9,409 papers, which have received 131,470 citations.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (APA) Author–year — (Smith, 2023) in the text Smith, A., Jones, B., & Lee, C. (2023). A representative article title. International Journal of Systems Science, 12(3), 45–58.
Formats any DOI in International Journal of Systems Science style. No sign-up. |
| Publishes research in | Stability and Control of Uncertain Systems Adaptive Control of Nonlinear Systems Control Systems and Identification Advanced Control Systems Optimization Fault Detection and Control Systems |
| ISSN | 0020-7721 |
| Citation impact (2-yr) | 3.23 |
| h-index | 109 |
| i10-index | 3,382 |
| Top institutions publishing here | Northeastern University |
| 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.
A fuzzy number is a fuzzy subset of the real line whose highest membership values are clustered around a given real number called the mean value ; the membership function is monotonia on both sides of this mean value. In this paper, the usual algebraic operations on real numbers are extended to fuzzy numbers by…
The design of a complex regulator often includes the making of a model of the system to be regulated. The making of such a model has hitherto been regarded as optional, as merely one of many possible ways. In this paper a theorem is presented which shows, under very broad conditions, that any regulator that…
This paper investigates the robust finite-time consensus problem of multi-agent systems in networks with undirected topology. Global nonlinear consensus protocols augmented with a variable structure are constructed with the aid of Lyapunov functions for each single-integrator agent dynamics in the presence of external disturbances. In particular, it is shown that the finite settling time of…
A review and categorization of electric load forecasting techniques is presented. A wide range of methodologies and models for forecasting are given in the literature. These techniques are classified here into nine categories: (1) multiple regression, (2) exponential smoothing, (3) iterative reweighted least-squares, (4) adaptive load forecasting, (5) stochastic time series, (6) ARMAX models based…
A simulation-based approach to study stochastic inventory-planning games JAIDEEP J. RAOy*, KIRAN KUMAR RAVULAPATIz and TAPAS K. DAS} Non-cooperative decision-making problems in a decentralized supply chain can be characterized and studied using a stochastic game model. In an earlier paper, the authors developed a methodology that uses machine learning for finding (near) optimal policies for…
