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International Journal of Adaptive Control and Signal Processing is a peer-reviewed journal published by Wiley, covering Adaptive Control of Nonlinear Systems, Control Systems and Identification, Advanced Control Systems Optimization.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." International Journal of Adaptive Control and Signal Processing 12 (3): 45–58.
Formats any DOI in International Journal of Adaptive Control and Signal Processing style. No sign-up. |
| Publishes research in | Adaptive Control of Nonlinear Systems Control Systems and Identification Advanced Control Systems Optimization Fault Detection and Control Systems Stability and Control of Uncertain Systems |
| ISSN | 0890-6327 |
| Citation impact (2-yr) | 3.29 |
| h-index | 95 |
| i10-index | 1,305 |
| Total citations | 53,636 |
| Article processing charge | $3,140 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | onlinelibrary.wiley.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.
This paper illustrates the application of a model-based adaptive friction compensation on a DC motor servomechanism. The dynamic friction model and the control structure studied previously by the authors were used as a basis for this study. The paper first proposes a two-step off-line method to estimate the nominal static and dynamic parameters associated with…
Abstract Adaptive and iterative control algorithms based on explicit criterion minimization are briefly reviewed and an overview of one such algorithm, iterative feedback tuning (IFT), is presented. The basic IFT algorithm is reviewed for both single‐input/single‐output and multi‐input/multi‐output systems. Subsequently the application to non‐linear systems is discussed. Stability and robustness aspects are covered. A survey…
In this paper, problems of optimizing observer-based fault detection (FD) systems in the sense of increasing the robustness to the unknown inputs and simultaneously enhancing the sensitivity to the faults are studied. The core of the study is the development of an approach that simultaneously solves four optimization problems. Different algorithms are derived for the…
SUMMARY Concurrent learning adaptive controllers, which use recorded and current data concurrently for adaptation, are developed for model reference adaptive control of uncertain linear dynamical systems. We show that a verifiable condition on the linear independence of the recorded data is sufficient to guarantee global exponential stability. We use this fact to develop exponentially decaying…
Abstract Multivariate monitoring and control schemes based on latent variable methods have been receiving increasing attention by industrial practitioners in the last 15 years. Several companies have enthusiastically adopted the methods and have reported many success stories. Applications have been reported where multivariate statistical process control, fault detection and diagnosis is achieved by utilizing the…
