Closed-loop control for joint air operations

Wohletz, Jerry M.; Castañón, David A.; Curry, Michael L.

doi:10.1109/acc.2001.945724

Cited by 22 publications

(23 citation statements)

References 7 publications

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“…24 hour cycle), among other benefits, significantly shortens the time to achieve air campaign objectives. Other endeavors to enhance the C2 functional capability using different criteria and formalizations have also been reported [10], [11], [17], [41].…”

Section: Problem Descriptionmentioning

confidence: 99%

“…Therefore it is assumed that state transition rates have been determined for the model. The reader having an interest in how transition rates in air operations are determined is referred to the two sample models [21], [41] in Table S1 which also intends to show the differences of the two models. It is easy to determine which transitions are controllable by Blue.…”

Section: Coverage Of Transitions In a Strategic Modelmentioning

confidence: 99%

“…These traits have been well recognized, and have directed the focus of some research activities onto closing the feedback control loops in air operations, despite many differing philosophies in modeling [12], [21], [11] and techniques for analysis and control [10], [17], [41]. Due to large uncertainties and computational burdens, however, it is difficult for feedback designs to be proactive [11], which requires accurate prediction far enough into the future.…”

Section: Table Of Contentsmentioning

confidence: 99%

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Control Reconfiguration of Command and Control Systems

Wu¹

2007

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching 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 this burden to Washington Headquarters Service, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302, and to the Office of Management and Budget, Paperwork Reduction Project (0704-0188) Washington, DC 20503. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 1. REPORT DATE (DD-MM-YYYY) JAN 20072. REPORT TYPE Final DATES COVERED (From -To CS PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)The SPONSOR/MONITOR'S ACRONYM(S) 9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)AFRL/IFSB 525 Brooks Rd Rome NY 13441-4505 SPONSORING/MONITORING AGENCY REPORT NUMBER AFRL-IF-RS-TR-2007-20 DISTRIBUTION AVAILABILITY STATEMENT APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED. PA# 07-026 SUPPLEMENTARY NOTES ABSTRACTCurrently, an air operation center (AOC) for a major regional conflict is composed of more than 400 personnel, hundreds of computer servers and an extensive communication infrastructure. So, in addition to the goals of achieving a faster, more real time response, there is also a desire to reduce the manning and equipment associated with the endeavor. This means that the management of redundancy must be optimized. An important consideration in the design and fielding of such systems is its capacity to accommodate faults through control reconfiguration using either direct or analytic redundancy. The latter relies on exploiting the inherent dynamic and static relationship of the system variables, and having the advantage of most efficient use of the components. This research applied the concepts of control reconfigurability to C2 systems modeled as stochastic discrete event systems. SUBJECT TERMS Executive SummaryCurrently, an air operation center (AOC) for a major regional conflict is composed of more than 400 personnel, hundreds of computer servers and an extensive communication infrastructure. So in addition to the goals of achieving a faster, more real time response, there is also a desire to reduce the manning and equipment associated with the endeavor. This means that the management of redundancy must be optimized. An important consideration in the design and fielding of such systems is its capacity to accommodate faults through control reconfiguration using either direct or analytic redundancy. The latter relies on exploiting the inherent dynamic and static relationship of the system variables, and having the advantage of most efficient use of the components. The proposed research seeks to apply the concepts of control reconfigurability to C2 systems modeled as stochastic discrete event systems.This report contains ten self-conta...

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Section: Problem Descriptionmentioning

confidence: 99%

Section: Coverage Of Transitions In a Strategic Modelmentioning

confidence: 99%

Section: Table Of Contentsmentioning

confidence: 99%

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Control Reconfiguration of Command and Control Systems

Wu¹

2007

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“…It was shown through experimentation that the ADP strategies were able to produce operationally consistent control strategies that anticipated likely contingencies and positioned assets for opportunities of recourse in near real-time. 14 …”

Section: Agency Use Only (Leave Blank)mentioning

confidence: 99%

Agile Control of Military Operations (JFACC)

Logan

Wohletz

Castanyon

et al. 2002

AIAA Guidance, Navigation, and Control Conference and Exhibit

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“…Although many researchers have been discussing autonomous multi-agent operations [2], [3], [4], [5], more work is needed on how to perform multi-agent health management for autonomous task groups. In principle, some of the issues raised in this problem are similar to questions arising in manufacturing systems [6], [7] and air transportation [8], [9].…”

Section: During a Mission How Should Teams Of Autonomous Agents Be Mmentioning

confidence: 99%

Embedding Health Management into Mission Tasking for UAV Teams

Valenti

Bethke

How

et al. 2007

2007 American Control Conference

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Abstract-Coordinated multi-vehicle autonomous systems can provide incredible functionality, but off-nominal conditions and degraded system components can render this capability ineffective. This paper presents techniques to improve missionlevel functional reliability through better system self-awareness and adaptive mission planning. In particular, we extend the traditional definition of health management, which has historically referred to the process of actively monitoring and managing vehicle sub-systems (e.g., avionics) in the event of component failures, to the context of multiple vehicle operations and autonomous multi-agent teams. In this case, health management information about each mission system component is used to improve the mission system's self-awareness and adapt vehicle, guidance, task and mission plans. This paper presents the theoretical foundations of our approach and recent experimental results on a new UAV testbed.

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Closed-loop control for joint air operations

Cited by 22 publications

References 7 publications

Control Reconfiguration of Command and Control Systems

Control Reconfiguration of Command and Control Systems

Agile Control of Military Operations (JFACC)

Embedding Health Management into Mission Tasking for UAV Teams

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