Example of Journal of Control and Decision format
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Example of Journal of Control and Decision format Example of Journal of Control and Decision format Example of Journal of Control and Decision format Example of Journal of Control and Decision format Example of Journal of Control and Decision format Example of Journal of Control and Decision format
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Example of Journal of Control and Decision format Example of Journal of Control and Decision format Example of Journal of Control and Decision format Example of Journal of Control and Decision format Example of Journal of Control and Decision format Example of Journal of Control and Decision format
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This content is only for preview purposes. The original open access content can be found here.
open access Open Access

Journal of Control and Decision — Template for authors

Publisher: Taylor and Francis
Categories Rank Trend in last 3 yrs
Control and Optimization #16 of 111 down down by None rank
Computer Networks and Communications #81 of 334 down down by None rank
Information Systems #83 of 329 down down by None rank
Control and Systems Engineering #72 of 260 down down by None rank
Signal Processing #31 of 108 down down by None rank
Human-Computer Interaction #38 of 120 down down by None rank
Artificial Intelligence #81 of 227 down down by None rank
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 69 Published Papers | 337 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 29/06/2020
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Related Journals

open access Open Access

IEEE

Quality:  
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SJR: 0.864
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CiteRatio: 6.2
SJR: 0.427
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Quality:  
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CiteRatio: 4.1
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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.

4.9

14% from 2019

CiteRatio for Journal of Control and Decision from 2016 - 2020
Year Value
2020 4.9
2019 4.3
2018 3.2
graph view Graph view
table view Table view

0.686

9% from 2019

SJR for Journal of Control and Decision from 2019 - 2020
Year Value
2020 0.686
2019 0.756
graph view Graph view
table view Table view

1.305

0% from 2019

SNIP for Journal of Control and Decision from 2018 - 2020
Year Value
2020 1.305
2019 1.302
2018 0.813
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 14% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 9% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 0% in last years.
  • This journal’s SNIP is in the top 10 percentile category.
Journal of Control and Decision

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Taylor and Francis

Journal of Control and Decision

Approved by publishing and review experts on SciSpace, this template is built as per for Journal of Control and Decision formatting guidelines as mentioned in Taylor and Francis author instructions. The current version was created on 29 Jun 2020 and has been used by 456 authors to write and format their manuscripts to this journal.

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Last updated on
29 Jun 2020
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ISSN
2330-7706
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Open Access
Not provided
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Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
Taylor and Francis Custom Citation
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Citation Type
Numbered
[25]
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Bibliography Example
Blonder GE, Tinkham M, Klapwijk TM. Transition from metallic to tunneling regimes in superconducting microconstrictions: Excess current, charge imbalance, and supercurrent conversion. Phys Rev B. 1982; 25(7):4515–4532. Available from: 10.1103/PhysRevB.25.4515.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1080/23307706.2017.1397554
A rewriting system for convex optimization problems
Akshay Agrawal1, Robin Verschueren2, Steven Diamond1, Stephen Boyd1

Abstract:

We describe a modular rewriting system for translating optimization problems written in a domain-specific language (DSL) to forms compatible with low-level solver interfaces. Translation is facilit... We describe a modular rewriting system for translating optimization problems written in a domain-specific language (DSL) to forms compatible with low-level solver interfaces. Translation is facilit... read more read less

Topics:

Solver (56%)56% related to the paper, Convex optimization (55%)55% related to the paper, Optimization problem (54%)54% related to the paper, Domain-specific language (51%)51% related to the paper, Modular design (50%)50% related to the paper
View PDF
358 Citations
Journal Article DOI: 10.1080/23307706.2014.885288
The event-driven paradigm for control, communication and optimization
Christos G. Cassandras1

Abstract:

The event-driven paradigm offers an alternative to the time-driven paradigm for modelling, sampling, estimation, control and optimization. This has come about largely as a consequence of systems being increasingly networked, wireless and consisting of distributed communicating components. The key idea is that control actions ... The event-driven paradigm offers an alternative to the time-driven paradigm for modelling, sampling, estimation, control and optimization. This has come about largely as a consequence of systems being increasingly networked, wireless and consisting of distributed communicating components. The key idea is that control actions need not be dictated by time steps taken by a “clock”; rather, an action should be triggered by an “event” which may be a well-defined condition on the system state, including the possibility of a simple time step, or a random state transition. We provide an overview of recent developments in event-driven approaches and focus on two areas to illustrate their value. First, in distributed systems, we describe how event-driven, rather than synchronous, communication can guarantee convergence in cooperative distributed optimization while provably maintaining optimality. Second, in hybrid systems where events naturally decompose state trajectories into different discrete states (modes), we... read more read less

Topics:

Event (computing) (52%)52% related to the paper, Hybrid system (51%)51% related to the paper
84 Citations
Journal Article DOI: 10.1080/23307706.2014.885292
Direct adaptive actuator failure compensation control: a tutorial
Gang Tao1

Abstract:

A resilient control system is expected to have the capacity to restore the desired system stability and tracking performance in the presence of uncertain system faults such as actuator failures. While redundant actuators are used for actuator failure accommodation, uncertain actuator failures, whose failure time, pattern, and... A resilient control system is expected to have the capacity to restore the desired system stability and tracking performance in the presence of uncertain system faults such as actuator failures. While redundant actuators are used for actuator failure accommodation, uncertain actuator failures, whose failure time, pattern, and values may be unknown, can bring new challenges to feedback control design as such uncertain failures can introduce large structural, parametric, and actuation uncertainties. Two technical issues are associated with using redundant actuators: how redundant actuators should be coordinated for effective failure compensation control, and how a feedback control law should be adaptively designed to compensate uncertain actuator failures. In this paper, we present a tutorial on direct adaptive failure compensation-based solutions to these issues for different types of control systems: state tracking using state feedback, output tracking using state feedback or output feedback, for linear, ... read more read less

Topics:

Plant (65%)65% related to the paper, Control system (56%)56% related to the paper, Actuator (54%)54% related to the paper, Compensation (engineering) (51%)51% related to the paper
75 Citations
Journal Article DOI: 10.1080/23307706.2014.926622
Continuous-time proportional-integral distributed optimisation for networked systems
Greg Droge1, Hiroaki Kawashima2, Magnus Egerstedt1

Abstract:

In this paper, we explore the relationship between dual decomposition and the consensus-based method for distributed optimisation. The relationship is developed by examining the similarities between the two approaches and their relationship to gradient-based constrained optimisation. By formulating each algorithm in continuou... In this paper, we explore the relationship between dual decomposition and the consensus-based method for distributed optimisation. The relationship is developed by examining the similarities between the two approaches and their relationship to gradient-based constrained optimisation. By formulating each algorithm in continuous-time, it is seen that both approaches use a gradient method for optimisation with one using a proportional control term and the other using an integral control term to drive the system to the constraint set. Therefore, a significant contribution of this paper is to combine these methods to develop a continuous-time proportional-integral distributed optimisation method. Furthermore, we establish convergence using Lyapunov stability techniques and utilising properties from the network structure of the multi-agent system. read more read less

Topics:

Gradient method (57%)57% related to the paper, Proportional control (52%)52% related to the paper, Lyapunov stability (51%)51% related to the paper
70 Citations
Journal Article DOI: 10.1080/23307706.2014.960554
Fault-tolerant flight control design for effective and reliable aircraft systems
Afef Fekih1

Abstract:

Effectiveness in flight control is achieved by maintaining specified performance despite the presence of faults and reliability implies taking the necessary measures to correct the fault before it leads to substantial performance deterioration and instability. In order to achieve both effectiveness and reliability, in this pa... Effectiveness in flight control is achieved by maintaining specified performance despite the presence of faults and reliability implies taking the necessary measures to correct the fault before it leads to substantial performance deterioration and instability. In order to achieve both effectiveness and reliability, in this paper, we propose a fault-tolerant control (FTC) approach that is able to simultaneously compensate for actuator faults, model mismatch and parameter variations in aircraft systems. The proposed control design successfully combines the properties of active and passive FTCs to accommodate faults while retaining acceptable system performance. A passive baseline controller is designed using sliding mode theory and an active controller is designed using a model reference adaptive approach. The proposed control paradigm retains system performance under fault free conditions and triggers corrective measures only when necessary, hence ensuring flight effectiveness and enhancing system’s reliab... read more read less

Topics:

Control reconfiguration (61%)61% related to the paper, Control theory (57%)57% related to the paper, Adaptive control (56%)56% related to the paper, Fault (power engineering) (53%)53% related to the paper, Fault tolerance (53%)53% related to the paper
58 Citations
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Journal of Control and Decision format uses Taylor and Francis Custom Citation citation style.

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Frequently asked questions

1. Can I write Journal of Control and Decision 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 and Decision guidelines and auto format it.

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

Yes, the template is compliant with the Journal of Control and Decision 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 and Decision?

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 and Decision citation style.

4. Can I use the Journal of Control and Decision 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 and Decision.

5. Can I use a manuscript in Journal of Control and Decision 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 and Decision that you can download at the end.

6. How long does it usually take you to format my papers in Journal of Control and Decision?

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 and Decision.

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

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 and Decision'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 and Decision'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 and Decision an online tool or is there a desktop version?

SciSpace's Journal of Control and Decision 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.

10. I cannot find my template in your gallery. Can you create it for me like Journal of Control and Decision?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like Journal of Control and Decision?”

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

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

12. Is Journal of Control and Decision'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 and Decision?

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 and Decision. 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 and Decision?

The 5 most common citation types in order of usage for Journal of Control and Decision 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 and Decision?

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 and Decision's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

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

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