A real-time control system methodology for developing intelligent control systems

Quintero, Richard; Barbera, Tony

doi:10.6028/nist.ir.4936

Cited by 23 publications

(9 citation statements)

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“…Fig. 3 shows that of a total of 43 articles that considered the system as a whole, 11 articles (1,2,5,14,17,18,28,33,34,35,40) focused on defining the appropriate set of tools that would support the development process. Four articles (22,46,54,66) dealt with system simulation, and two articles (23,65) focused on the integration of developed software and hardware components.…”

Section: ) Thematic Focus Criterionmentioning

confidence: 99%

“…The focus of authors research are real-time closed-loop control systems, which are considered a special case of embedded systems, comprising real-time close-loop control software, with very specific requirements, firmly tied to specially designed and developed application-specific hardware [1]. RCS Methodology is a development methodology for real-time closed loop control systems that considers software part of the system and implies generalpurpose hardware [4], [5].…”

Section: Introductionmentioning

confidence: 99%

“…1,2,3,9,10,11,12,18,19,20,21,22,27,29,33,34,35,39,40,41,47,48,50,51,60,62,66,69).However, in 23 articles, scientists stated that these heterogeneous complex systems demand novel development methods. Therefore, 12 articles(5,6,8,17,23,28,46,49,54,55,56,61) proposed new approaches based on HW/SW Co-design methodology, 12 articles(4,14,31,32,42,43,44,57,63,64,65,…”

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confidence: 99%

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Systematic Review of Methodologies for the Development of Embedded Systems

Blaskovic¹,

Čandrlić²,

Jakupović³

2021

IJACSA

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Embedded systems encompass software and hardware components developed in parallel. These systems have been the focus of interest for many scholars who emphasized development issues related to embedded systems. Moreover, they proposed different approaches for facilitating the development process. The aim of this work is to identify desirable characteristics of existing development methodologies, which provide a good foundation for development of new methodologies. For that purpose, systematic mapping methodology was applied to the area of embedded systems, resulting in a classification scheme, graphically represented by a multilayer conceptual network. Afterwards, the most significant clusters were identified, using the k-means algorithm and the squared Euclidean distance formula. Overall, the results provide guidelines for further research aiming to propose a holistic approach for the development of special case of embedded systems.

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Section: ) Thematic Focus Criterionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Systematic Review of Methodologies for the Development of Embedded Systems

Blaskovic¹,

Čandrlić²,

Jakupović³

2021

IJACSA

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“…Multiple sources associated with industrial applications demonstrate that the above definitions are productive for the engineering design, too [65][66]. [651].…”

Section: )mentioning

confidence: 99%

Intelligent systems:

Meystel¹

2002

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“…The computational hierarchies depend on the specific tasks that must be accomplished to execute the algorithms. A methodology for the design of intelligent systems that describes an architecture, design guidelines for computational hierarchies, building blocks, and a prototyping method was erpployed in this work [ 13]. This methodology resulted in a system that exhibits the characteristics that define intelligent systems, including a hierarchical organization, and the use of multiresolutional information processing in external information organization, knowledge representation, and decision-making processes.…”

Section: Computational Hierarchiesmentioning

confidence: 99%

Intelligent Control for Future Autonomous Distributed Sensor Systems

Jannett¹

2007

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The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. Key distributed coordination and control technologies needed for future deployable autonomous distributed systems were investigated. Specific tasks accomplished include: 1) identification and exploration of alternative distributed intelligent system architectures, methods for distributed data fusion, control, and coordination, and strategies that will increase the ability of the field to survive attacks, failures, and accidents, 2) development of new intelligent software agents that facilitate distributed coordination and control, end 3) creation of computer simulations for developing and testing alternative algorithms, considering tradeoffs, and evaluating the ability of the distributed system to achieve its goals when presented with a set of operational challenges. This approach allowed design alternatives to be explored, allowed trade-offs to be exposed, provided insight into the parameters that impact overall system performance, and facilitated the identification of requirements for further development. factual summary of the most significant information. PLEASE DO NOT5e. TASK NUMBER. Enter all task numbers as they 15. SUBJECT TERMS. Key words or phrases appear in the report, e.g. 05; RF0330201; T4112.identifying major concepts in the report.5f. WORK UNIT NUMBER. Enter all work unit numbers as they appear in the report, e.g. 001; 16. SECURITY CLASSIFICATION. Enter security AFAPL30480105.classification in accordance with security classification regulations, e.g. U, C, S, etc. If this form contains 6. AUTHOR(S). Enter name(s) of person(s) classified information, stamp classification level on the responsible for writing the report, performing the top and bottom of this page. research, or credited with the content of the report. The form of entry is the last name, first name, middle 17. LIMITATION OF ABSTRACT. This block must be initial, and additional qualifiers separated by commas, completed to assign a distribution limitation to the e.g. Smith, Richard, J, Jr.abstract. Enter UU (Unclassified Unlimited) or SAR (Same as Report). An entry in this block is necessary if 7. PERFORMING ORGANIZATION NAME(S) AND teasrc st elmtd ADDRESS(ES ABSTRACTKey distributed coordi...

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A real-time control system methodology for developing intelligent control systems

Cited by 23 publications

References 0 publications

Systematic Review of Methodologies for the Development of Embedded Systems

Systematic Review of Methodologies for the Development of Embedded Systems

Intelligent systems:

Intelligent Control for Future Autonomous Distributed Sensor Systems

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