Example of IEEE Transactions on Control Systems Technology format
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Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format
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Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format Example of IEEE Transactions on Control Systems Technology format
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IEEE Transactions on Control Systems Technology — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Control and Systems Engineering #19 of 260 down down by 10 ranks
Electrical and Electronic Engineering #52 of 693 down down by 23 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 874 Published Papers | 9501 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 28/06/2020
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Related Journals

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
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IEEE

Quality:  
High
CiteRatio: 8.9
SJR: 1.19
SNIP: 1.833
open access Open Access

Hindawi

Quality:  
High
CiteRatio: 4.1
SJR: 0.399
SNIP: 1.108

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.

5.312

1% from 2018

Impact factor for IEEE Transactions on Control Systems Technology from 2016 - 2019
Year Value
2019 5.312
2018 5.371
2017 4.883
2016 3.882
graph view Graph view
table view Table view

10.9

5% from 2019

CiteRatio for IEEE Transactions on Control Systems Technology from 2016 - 2020
Year Value
2020 10.9
2019 11.5
2018 11.1
2017 9.6
2016 9.6
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has decreased by 1% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has decreased by 5% 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.

1.678

14% from 2019

SJR for IEEE Transactions on Control Systems Technology from 2016 - 2020
Year Value
2020 1.678
2019 1.944
2018 1.811
2017 1.832
2016 1.655
graph view Graph view
table view Table view

2.443

5% from 2019

SNIP for IEEE Transactions on Control Systems Technology from 2016 - 2020
Year Value
2020 2.443
2019 2.581
2018 2.748
2017 2.778
2016 2.686
graph view Graph view
table view Table view

insights Insights

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

insights Insights

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

IEEE Transactions on Control Systems Technology

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IEEE

IEEE Transactions on Control Systems Technology

The IEEE Control Systems Society publishes high-quality papers on technological advances in the design, realization, and operation of control systems. Submissions should emphasize novel contributions to the solution of control engineering problems arising in specific applicati...... Read More

Engineering

i
Last updated on
28 Jun 2020
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ISSN
1063-6536
i
Impact Factor
Very High - 3.492
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
IEEEtran
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Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1109/TCST.2005.847331
PID control system analysis, design, and technology
Kiam Heong Ang, G. Chong1, Yun Li1

Abstract:

Designing and tuning a proportional-integral-derivative (PID) controller appears to be conceptually intuitive, but can be hard in practice, if multiple (and often conflicting) objectives such as short transient and high stability are to be achieved. Usually, initial designs obtained by all means need to be adjusted repeatedly... Designing and tuning a proportional-integral-derivative (PID) controller appears to be conceptually intuitive, but can be hard in practice, if multiple (and often conflicting) objectives such as short transient and high stability are to be achieved. Usually, initial designs obtained by all means need to be adjusted repeatedly through computer simulations until the closed-loop system performs or compromises as desired. This stimulates the development of "intelligent" tools that can assist engineers to achieve the best overall PID control for the entire operating envelope. This development has further led to the incorporation of some advanced tuning algorithms into PID hardware modules. Corresponding to these developments, this paper presents a modern overview of functionalities and tuning methods in patents, software packages and commercial hardware modules. It is seen that many PID variants have been developed in order to improve transient performance, but standardising and modularising PID control are desired, although challenging. The inclusion of system identification and "intelligent" techniques in software based PID systems helps automate the entire design and tuning process to a useful degree. This should also assist future development of "plug-and-play" PID controllers that are widely applicable and can be set up easily and operate optimally for enhanced productivity, improved quality and reduced maintenance requirements. read more read less

Topics:

PID controller (58%)58% related to the paper, Automatic control (52%)52% related to the paper, Control theory (51%)51% related to the paper
View PDF
2,461 Citations
Journal Article DOI: 10.1109/87.761053
A control engineer's guide to sliding mode control
K.D. Young, Vadim I. Utkin, Umit Ozguner

Abstract:

Presents a guide to sliding mode control for practicing control engineers. It offers an accurate assessment of the so-called chattering phenomenon, catalogs implementable sliding mode control design solutions, and provides a frame of reference for future sliding mode control research. Presents a guide to sliding mode control for practicing control engineers. It offers an accurate assessment of the so-called chattering phenomenon, catalogs implementable sliding mode control design solutions, and provides a frame of reference for future sliding mode control research. read more read less

Topics:

Sliding mode control (65%)65% related to the paper, Variable structure control (63%)63% related to the paper, Robust control (57%)57% related to the paper, Control system (52%)52% related to the paper
2,082 Citations
Journal Article DOI: 10.1109/87.998034
Stability analysis of networked control systems
G.C. Walsh, Hong Ye1, Linda Bushnell2

Abstract:

We introduce a novel control network protocol, try-once-discard (TOD), for multiple-input-multiple-output (MIMO) networked control systems (NCSs), and provide an analytic proof of global exponential stability for both the new protocol and the more commonly used (statically scheduled) access methods. Our approach is to first d... We introduce a novel control network protocol, try-once-discard (TOD), for multiple-input-multiple-output (MIMO) networked control systems (NCSs), and provide an analytic proof of global exponential stability for both the new protocol and the more commonly used (statically scheduled) access methods. Our approach is to first design the controller using established techniques and considering the network transparency, and then analyze the effect of the network on closed-loop system performance. When implemented, an NCS consists of multiple independent sensors and actuators competing for an access to the network, with no universal clock available to synchronize their actions. Since the nodes act asynchronously, we allow access to the network at anytime, but assume each access occurs before a prescribed deadline, known as the maximum allowable transfer interval. Only one node may access the network at a time. This communication constraint imposed by the network is the main focus of the paper. The performance of the new TOD protocol and the statically scheduled protocols are examined in simulations of an automotive gas turbine and an unstable batch reactor. read more read less

Topics:

Network transparency (61%)61% related to the paper, Access method (52%)52% related to the paper
1,436 Citations
open accessOpen access Journal Article DOI: 10.1109/TCST.2009.2017934
Fast Model Predictive Control Using Online Optimization
Yang Wang1, Stephen Boyd1

Abstract:

A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A well-known technique for implementing fast MPC is to compute the entire control law offline, in which case the online controller c... A widely recognized shortcoming of model predictive control (MPC) is that it can usually only be used in applications with slow dynamics, where the sample time is measured in seconds or minutes. A well-known technique for implementing fast MPC is to compute the entire control law offline, in which case the online controller can be implemented as a lookup table. This method works well for systems with small state and input dimensions (say, no more than five), few constraints, and short time horizons. In this paper, we describe a collection of methods for improving the speed of MPC, using online optimization. These custom methods, which exploit the particular structure of the MPC problem, can compute the control action on the order of 100 times faster than a method that uses a generic optimizer. As an example, our method computes the control actions for a problem with 12 states, 3 controls, and horizon of 30 time steps (which entails solving a quadratic program with 450 variables and 1284 constraints) in around 5 ms, allowing MPC to be carried out at 200 Hz. read more read less

Topics:

Model predictive control (64%)64% related to the paper, Constrained optimization (56%)56% related to the paper, Control theory (55%)55% related to the paper, Quadratic programming (54%)54% related to the paper, Lookup table (51%)51% related to the paper
View PDF
1,369 Citations
Journal Article DOI: 10.1109/TCST.2003.815606
Power management strategy for a parallel hybrid electric truck
Chan-Chiao Lin1, Huei Peng1, Jessy W. Grizzle2, Jun-Mo Kang1

Abstract:

Hybrid vehicle techniques have been widely studied recently because of their potential to significantly improve the fuel economy and drivability of future ground vehicles. Due to the dual-power-source nature of these vehicles, control strategies based on engineering intuition frequently fail to fully explore the potential of ... Hybrid vehicle techniques have been widely studied recently because of their potential to significantly improve the fuel economy and drivability of future ground vehicles. Due to the dual-power-source nature of these vehicles, control strategies based on engineering intuition frequently fail to fully explore the potential of these advanced vehicles. In this paper, we present a procedure for the design of a near-optimal power management strategy. The design procedure starts by defining a cost function, such as minimizing a combination of fuel consumption and selected emission species over a driving cycle. Dynamic programming (DP) is then utilized to find the optimal control actions including the gear-shifting sequence and the power split between the engine and motor while subject to a battery SOC-sustaining constraint. Through analysis of the behavior of DP control actions, near-optimal rules are extracted, which, unlike DP control signals, are implementable. The performance of this power management control strategy is studied by using the hybrid vehicle model HE-VESIM developed at the Automotive Research Center of the University of Michigan. A tradeoff study between fuel economy and emissions was performed. It was found that significant emission reduction could be achieved at the expense of a small increase in fuel consumption. read more read less

Topics:

Fuel efficiency (57%)57% related to the paper, Hybrid vehicle (57%)57% related to the paper, Automotive industry (55%)55% related to the paper, Driving cycle (55%)55% related to the paper, Hybrid electric bus (54%)54% related to the paper
View PDF
1,242 Citations
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IEEE Transactions on Control Systems Technology format uses IEEEtran citation style.

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Frequently asked questions

1. Can I write IEEE Transactions on Control Systems Technology in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Transactions on Control Systems Technology guidelines and auto format it.

2. Do you follow the IEEE Transactions on Control Systems Technology guidelines?

Yes, the template is compliant with the IEEE Transactions on Control Systems Technology 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 IEEE Transactions on Control Systems Technology?

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 IEEE Transactions on Control Systems Technology citation style.

4. Can I use the IEEE Transactions on Control Systems Technology 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 IEEE Transactions on Control Systems Technology.

5. Can I use a manuscript in IEEE Transactions on Control Systems Technology 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 IEEE Transactions on Control Systems Technology that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Transactions on Control Systems Technology?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Transactions on Control Systems Technology.

7. Where can I find the template for the IEEE Transactions on Control Systems Technology?

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 IEEE Transactions on Control Systems Technology'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 IEEE Transactions on Control Systems Technology'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. IEEE Transactions on Control Systems Technology an online tool or is there a desktop version?

SciSpace's IEEE Transactions on Control Systems Technology 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 IEEE Transactions on Control Systems Technology?

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 IEEE Transactions on Control Systems Technology?”

11. What is the output that I would get after using IEEE Transactions on Control Systems Technology?

After writing your paper autoformatting in IEEE Transactions on Control Systems Technology, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Transactions on Control Systems Technology'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 IEEE Transactions on Control Systems Technology?

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 IEEE Transactions on Control Systems Technology. 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 IEEE Transactions on Control Systems Technology?

The 5 most common citation types in order of usage for IEEE Transactions on Control Systems Technology 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 IEEE Transactions on Control Systems Technology?

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 IEEE Transactions on Control Systems Technology's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download IEEE Transactions on Control Systems Technology 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 IEEE Transactions on Control Systems Technology Endnote style according to Elsevier guidelines.

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