Example of Journal of Control Science and Engineering format
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Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format Example of Journal of Control Science and Engineering format
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open access Open Access

Journal of Control Science and Engineering — Template for authors

Publisher: Hindawi
Categories Rank Trend in last 3 yrs
Electrical and Electronic Engineering #388 of 693 up up by 75 ranks
Computer Science Applications #392 of 693 up up by 36 ranks
Modeling and Simulation #168 of 290 up up by 30 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 207 Published Papers | 430 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 06/07/2020
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Related Journals

open access Open Access
recommended Recommended

IEEE

Quality:  
High
CiteRatio: 7.9
SJR: 0.929
SNIP: 1.478
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Elsevier

Quality:  
Good
CiteRatio: 3.9
SJR: 0.63
SNIP: 1.418
open access Open Access

IEEE

Quality:  
High
CiteRatio: 6.4
SJR: 0.786
SNIP: 2.027
open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 5.9
SJR: 0.972
SNIP: 1.349

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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

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.

2.1

11% from 2019

CiteRatio for Journal of Control Science and Engineering from 2016 - 2020
Year Value
2020 2.1
2019 1.9
2018 1.3
2017 0.9
2016 0.7
graph view Graph view
table view Table view

0.208

23% from 2019

SJR for Journal of Control Science and Engineering from 2016 - 2020
Year Value
2020 0.208
2019 0.269
2018 0.212
2017 0.196
2016 0.16
graph view Graph view
table view Table view

0.504

12% from 2019

SNIP for Journal of Control Science and Engineering from 2016 - 2020
Year Value
2020 0.504
2019 0.572
2018 0.348
2017 0.361
2016 0.49
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 11% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 23% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 12% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

Journal of Control Science and Engineering

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Hindawi

Journal of Control Science and Engineering

Journal of Control Science and Engineering is a peer-reviewed, open access journal that publishes original research articles as well as review articles in all areas of control science and engineering.... Read More

Engineering

i
Last updated on
05 Jul 2020
i
ISSN
1687-5249
i
Impact Factor
Low - 0.309
i
Acceptance Rate
15%
i
Frequency
Not provided
i
Open Access
Yes
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
unsrt
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker. “Specular andreev reflection in graphene”. Phys. Rev. Lett., vol. 97, no. 6, 067007, 2006.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1155/2016/7426913
Survey of Robot 3D Path Planning Algorithms
Liang Yang1, Juntong Qi1, Dalei Song1, Jizhong Xiao2, Jianda Han1, Xia Yong

Abstract:

Robot 3D three-dimension path planning targets for finding an optimal and collision-free path in a 3D workspace while taking into account kinematic constraints including geometric, physical, and temporal constraints. The purpose of path planning, unlike motion planning which must be taken into consideration of dynamics, is to... Robot 3D three-dimension path planning targets for finding an optimal and collision-free path in a 3D workspace while taking into account kinematic constraints including geometric, physical, and temporal constraints. The purpose of path planning, unlike motion planning which must be taken into consideration of dynamics, is to find a kinematically optimal path with the least time as well as model the environment completely. We discuss the fundamentals of these most successful robot 3D path planning algorithms which have been developed in recent years and concentrate on universally applicable algorithms which can be implemented in aerial robots, ground robots, and underwater robots. This paper classifies all the methods into five categories based on their exploring mechanisms and proposes a category, called multifusion based algorithms. For all these algorithms, they are analyzed from a time efficiency and implementable area perspective. Furthermore a comprehensive applicable analysis for each kind of method is presented after considering their merits and weaknesses. read more read less

Topics:

Any-angle path planning (60%)60% related to the paper, Motion planning (60%)60% related to the paper, Robot (53%)53% related to the paper, Path (graph theory) (52%)52% related to the paper
View PDF
235 Citations
open accessOpen access Journal Article DOI: 10.1155/2008/231697
A method for designing fault diagnosis filters for LPV polytopic systems
Sylvain Grenaille1, David Henry1, Ali Zolghadri1

Abstract:

The work presented in this paper focuses on the design of robust Fault Detection and Isolation (FDI) filters for dynamic systems characterized by LPV (Linear Parameter Varying) polytopic models. A sufficient condition is established to guarantee sensitivity performance of the residual signal vector to faults. Robustness const... The work presented in this paper focuses on the design of robust Fault Detection and Isolation (FDI) filters for dynamic systems characterized by LPV (Linear Parameter Varying) polytopic models. A sufficient condition is established to guarantee sensitivity performance of the residual signal vector to faults. Robustness constraints against model perturbations and disturbances are also taken into account in the design method. A key feature of the proposed method is that the residual structuring matrices are optimized as an integral part of the design, together with the dynamic part (i.e. the filter). The design problem is formulated as a convex optimization problem and solved using LMI (Linear Matrix Inequalities) techniques. The proposed method is illustrated on the secondary circuit of a Nuclear Power Plant. read more read less

Topics:

Fault detection and isolation (57%)57% related to the paper, Convex optimization (53%)53% related to the paper, Robustness (computer science) (53%)53% related to the paper, Residual (52%)52% related to the paper, Filter (signal processing) (51%)51% related to the paper
View PDF
95 Citations
open accessOpen access Journal Article DOI: 10.1155/2013/657182
Design of attitude control systems for cubesat-class nanosatellite
Junquan Li1, Mark Post1, Thomas Wright1, Regina Lee1

Abstract:

We present a satellite attitude control system design using low-cost hardware and software for a 1U CubeSat. The attitude control system architecture is a crucial subsystemfor any satellite mission since precise pointing is often required to meet mission objectives. The accuracy and precision requirements are even more challe... We present a satellite attitude control system design using low-cost hardware and software for a 1U CubeSat. The attitude control system architecture is a crucial subsystemfor any satellite mission since precise pointing is often required to meet mission objectives. The accuracy and precision requirements are even more challenging for small satellites where limited volume, mass, and power are available for the attitude control system hardware. In this proposed embedded attitude control system design for a 1U CubeSat, pointing is obtained through a two-stage approach involving coarse and fine control modes. Fine control is achieved through the use of three reaction wheels or three magnetorquers and one reaction wheel along the pitch axis. Significant design work has been conducted to realize the proposed architecture. In this paper, we present an overview of the embedded attitude control system design; the verification results fromnumerical simulation studies to demonstrate the performance of a CubeSat-class nanosatellite; and a series of air-bearing verification tests on nanosatellite attitude control systemhardware that compares the performance of the proposed nonlinear controller with a proportional-integral-derivative controller. read more read less

Topics:

Attitude control (56%)56% related to the paper, Control theory (56%)56% related to the paper, Reaction wheel (56%)56% related to the paper, CubeSat (56%)56% related to the paper, Magnetorquer (56%)56% related to the paper
View PDF
95 Citations
open accessOpen access Journal Article DOI: 10.1155/2011/528341
On the dynamics of the furuta pendulum
Benjamin S. Cazzolato1, Zebb Prime1

Abstract:

The Furuta pendulum, or rotational inverted pendulum, is a system found in many control labs. It provides a compact yet impressive platform for control demonstrations and draws the attention of the control community as a platform for the development of nonlinear control laws. Despite the popularity of the platform, there are ... The Furuta pendulum, or rotational inverted pendulum, is a system found in many control labs. It provides a compact yet impressive platform for control demonstrations and draws the attention of the control community as a platform for the development of nonlinear control laws. Despite the popularity of the platform, there are very few papers which employ the correct dynamics and only one that derives the full system dynamics. In this paper, the full dynamics of the Furuta pendulum are derived using two methods: a Lagrangian formulation and an iterative Newton-Euler formulation. Approximations are made to the full dynamics which converge to the more commonly presented expressions. The systemdynamics are then linearised using a Jacobian. To illustrate the influence the commonly neglected inertia terms have on the system dynamics, a brief example is offered. read more read less

Topics:

Furuta pendulum (76%)76% related to the paper, Inverted pendulum (65%)65% related to the paper, Double pendulum (63%)63% related to the paper, System dynamics (52%)52% related to the paper
View PDF
88 Citations
open accessOpen access Journal Article DOI: 10.1155/2012/478373
Progress in root cause and fault propagation analysis of large-scale industrial processes
Fan Yang1, Deyun Xiao2

Abstract:

In large-scale industrial processes, a fault can easily propagate between process units due to the interconnections of material and information flows. Thus the problem of fault detection and isolation for these processes is more concerned about the root cause and fault propagation before applying quantitative methods in local... In large-scale industrial processes, a fault can easily propagate between process units due to the interconnections of material and information flows. Thus the problem of fault detection and isolation for these processes is more concerned about the root cause and fault propagation before applying quantitative methods in local models. Process topology and causality, as the key features of the process description, need to be captured from process knowledge and process data. The modelling methods from these two aspects are overviewed in this paper. From process knowledge, structural equation modelling, various causal graphs, rule-based models, and ontological models are summarized. From process data, cross-correlation analysis, Granger causality and its extensions, frequency domain methods, information-theoretical methods, and Bayesian nets are introduced. Based on these models, inference methods are discussed to find root causes and fault propagation paths under abnormal situations. Some future work is proposed in the end. read more read less

Topics:

Fault detection and isolation (61%)61% related to the paper, Root cause (55%)55% related to the paper, Fault (power engineering) (54%)54% related to the paper, Process (engineering) (50%)50% related to the paper
View PDF
75 Citations
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Journal of Control Science and Engineering format uses unsrt citation style.

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Frequently asked questions

1. Can I write Journal of Control Science and Engineering in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the Journal of Control Science and Engineering guidelines and auto format it.

2. Do you follow the Journal of Control Science and Engineering guidelines?

Yes, the template is compliant with the Journal of Control Science and Engineering guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in Journal of Control Science and Engineering?

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 Journal of Control Science and Engineering citation style.

4. Can I use the Journal of Control Science and Engineering templates for free?

Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for Journal of Control Science and Engineering.

5. Can I use a manuscript in Journal of Control Science and Engineering that I have written in MS Word?

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 Journal of Control Science and Engineering that you can download at the end.

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It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in Journal of Control Science and Engineering.

7. Where can I find the template for the Journal of Control Science and Engineering?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Control Science and Engineering's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the Journal of Control Science and Engineering's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. Journal of Control Science and Engineering an online tool or is there a desktop version?

SciSpace's Journal of Control Science and Engineering is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

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11. What is the output that I would get after using Journal of Control Science and Engineering?

After writing your paper autoformatting in Journal of Control Science and Engineering, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is Journal of Control Science and Engineering'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 Journal of Control Science and Engineering?

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 Journal of Control Science and Engineering. 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 Journal of Control Science and Engineering?

The 5 most common citation types in order of usage for Journal of Control Science and Engineering are:.

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

15. How do I submit my article to the Journal of Control Science and Engineering?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per Journal of Control Science and Engineering's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download Journal of Control Science and Engineering 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 Journal of Control Science and Engineering Endnote style according to Elsevier guidelines.

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