Example of International Journal of Adaptive Control and Signal Processing format
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Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format
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Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format Example of International Journal of Adaptive Control and Signal Processing format
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open access Open Access

International Journal of Adaptive Control and Signal Processing — Template for authors

Publisher: Wiley
Categories Rank Trend in last 3 yrs
Electrical and Electronic Engineering #164 of 693 down down by 27 ranks
Control and Systems Engineering #69 of 260 down down by 13 ranks
Signal Processing #30 of 108 down down by 3 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 431 Published Papers | 2229 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 21/06/2020
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Related Journals

open access Open Access
recommended Recommended

Elsevier

Quality:  
High
CiteRatio: 9.1
SJR: 0.907
SNIP: 1.713
open access Open Access

Springer

Quality:  
High
CiteRatio: 6.6
SJR: 1.392
SNIP: 1.036
open access Open Access

IEEE

Quality:  
High
CiteRatio: 8.2
SJR: 1.23
SNIP: 1.584
open access Open Access
recommended Recommended

IEEE

Quality:  
High
CiteRatio: 8.9
SJR: 1.19
SNIP: 1.833

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

A measure of average citations received per peer-reviewed paper published in the journal.

2.116

5% from 2018

Impact factor for International Journal of Adaptive Control and Signal Processing from 2016 - 2019
Year Value
2019 2.116
2018 2.239
2017 2.082
2016 1.708
graph view Graph view
table view Table view

5.2

21% from 2019

CiteRatio for International Journal of Adaptive Control and Signal Processing from 2016 - 2020
Year Value
2020 5.2
2019 4.3
2018 4.3
2017 4.1
2016 3.8
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 5% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 21% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

0.73

5% from 2019

SJR for International Journal of Adaptive Control and Signal Processing from 2016 - 2020
Year Value
2020 0.73
2019 0.695
2018 0.885
2017 0.915
2016 0.749
graph view Graph view
table view Table view

1.172

31% from 2019

SNIP for International Journal of Adaptive Control and Signal Processing from 2016 - 2020
Year Value
2020 1.172
2019 0.894
2018 0.965
2017 1.242
2016 1.023
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 5% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 31% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
International Journal of Adaptive Control and Signal Processing

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Wiley

International Journal of Adaptive Control and Signal Processing

The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties. The theory and application of adaptive systems and system ide...... Read More

Engineering

i
Last updated on
20 Jun 2020
i
ISSN
0890-6327
i
Impact Factor
High - 1.141
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
apa
i
Citation Type
Numbered
[25]
i
Bibliography Example
Beenakker, C.W.J. (2006) Specular andreev reflection in graphene.Phys. Rev. Lett., 97 (6), 067 007. URL 10.1103/PhysRevLett.97.067007.

Top papers written in this journal

Adaptive friction compensation with partially known dynamic friction model
Carlos Canudas de Wit1, P. Lischinsky1

Abstract:

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... 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 the model. Then two adaptive globally stable mechanisms are introduced to deal with structured normal forces and temperature variations. Assuming that a nominal friction model is known and that the friction variations can be suitably structured, adaptation is performed on the basis of only one parameter. The paper presents experimental results validating the identification of the dynamic friction model and the adaptive control scheme. These results show that the adaptive loop improves over a fixed compensation scheme and over a PID controller without friction compensation. © 1997 by John Wiley & Sons, Ltd. read more read less

Topics:

Adaptive control (56%)56% related to the paper, Dynamical friction (52%)52% related to the paper, Servomechanism (52%)52% related to the paper, PID controller (51%)51% related to the paper
466 Citations
Journal Article DOI: 10.1002/ACS.714
Iterative feedback tuning-an overview
Håkan Hjalmarsson1

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 ... 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 of existing extensions, applications and related methods is also provided. Copyright © 2002 John Wiley & Sons, Ltd. read more read less

Topics:

Robustness (computer science) (61%)61% related to the paper, Adaptive control (60%)60% related to the paper
431 Citations
A unified approach to the optimization of fault detection systems
Steven X. Ding, Torsten Jeinsch, Paul M. Frank1, E. L. Ding

Abstract:

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... 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 application of this approach to the optimal selection of post-filters as well as optimization of fault detection filters, and to the systems with and without structure constraints. The achieved results also reveal some interesting relationships among the optimization problems considered. Copyright © 2000 John Wiley & Sons, Ltd. read more read less

Topics:

Fault detection and isolation (60%)60% related to the paper, Optimization problem (59%)59% related to the paper, Robustness (computer science) (55%)55% related to the paper
423 Citations
Journal Article DOI: 10.1002/ACS.859
Application of latent variable methods to process control and multivariate statistical process control in industry
Theodora Kourti1

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 statisti... 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 latent variable space, for continuous and batch processes, as well as, for process transitions as for example start ups and re-starts. This paper gives an overview of the latest developments in multivariate statistical process control (MSPC) and its application for fault detection and isolation (FDI) in industrial processes. It provides a critical review of the methodology and describes how it is transferred to the industrial environment. Recent applications of latent variable methods to process control as well as to image analysis for monitoring and feedback control are discussed. Finally it is emphasized that the multivariate nature of the data should be preserved when data compression and data preprocessing is applied. It is shown that univariate data compression and reconstruction may hinder the validity of multivariate analysis by introducing spurious correlations. Copyright © 2005 John Wiley & Sons, Ltd. read more read less

Topics:

Univariate (60%)60% related to the paper, Multivariate statistics (55%)55% related to the paper, Multivariate analysis (55%)55% related to the paper, Latent variable (54%)54% related to the paper, Fault detection and isolation (51%)51% related to the paper
335 Citations
Journal Article DOI: 10.1002/ACS.2297
Concurrent learning adaptive control of linear systems with exponentially convergent bounds
Girish Chowdhary1, Tansel Yucelen1, Maximillian Muhlegg2, Eric N. Johnson1

Abstract:

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 e... 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 bounds on the tracking error and weight error, and estimate upper bounds on the control signal. These results allow the development of adaptive controllers that ensure good tracking without relying on high adaptation gains, and can be designed to avoid actuator saturation. Simulations and hardware experiments show improved performance. Copyright © 2012 John Wiley & Sons, Ltd. read more read less

Topics:

Adaptive control (62%)62% related to the paper, Linear dynamical system (56%)56% related to the paper, Exponential stability (55%)55% related to the paper, Linear system (55%)55% related to the paper, Tracking error (51%)51% related to the paper
323 Citations
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International Journal of Adaptive Control and Signal Processing format uses apa citation style.

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Frequently asked questions

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3. Can I cite my article in multiple styles in International Journal of Adaptive Control and Signal Processing?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the International Journal of Adaptive Control and Signal Processing citation style.

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Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper International Journal of Adaptive Control and Signal Processing that you can download at the end.

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12. Is International Journal of Adaptive Control and Signal Processing's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for International Journal of Adaptive Control and Signal Processing?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Adaptive Control and Signal Processing. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Adaptive Control and Signal Processing?

The 5 most common citation types in order of usage for International Journal of Adaptive Control and Signal Processing are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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16. Can I download International Journal of Adaptive Control and Signal Processing in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Adaptive Control and Signal Processing Endnote style according to Elsevier guidelines.

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