TY - GEN
T1 - Command and control of teams of autonomous systems
AU - Lange, Douglas S.
AU - Verbancsics, Phillip
AU - Gutzwiller, Robert S.
AU - Reeder, John
AU - Sarles, Cullen
PY - 2012
Y1 - 2012
N2 - The command and control of teams of autonomous vehicles provides a strong model of the control of cyber-physical systems in general. Using the definition of command and control for military systems, we can recognize the requirements for the operational control of many systems and see some of the problems that must be resolved. Among these problems are the need to distinguish between aberrant behaviors and optimal but quirky behaviors so that the human commander can determine if the behaviors conform to standards and align with mission goals. Similarly the commander must able to recognize when goals will not be met in order to reapportion assets available to the system. Robustness in the face of a highly variable environment can be met through machine learning, but must be done in a way that the tactics employed are recognizable as correct. Finally, because cyber-physical systems will involve decisions that must be made at great speed, we consider the use of the Rainbow framework for autonomics to provide rapid but robust command and control at pace.
AB - The command and control of teams of autonomous vehicles provides a strong model of the control of cyber-physical systems in general. Using the definition of command and control for military systems, we can recognize the requirements for the operational control of many systems and see some of the problems that must be resolved. Among these problems are the need to distinguish between aberrant behaviors and optimal but quirky behaviors so that the human commander can determine if the behaviors conform to standards and align with mission goals. Similarly the commander must able to recognize when goals will not be met in order to reapportion assets available to the system. Robustness in the face of a highly variable environment can be met through machine learning, but must be done in a way that the tactics employed are recognizable as correct. Finally, because cyber-physical systems will involve decisions that must be made at great speed, we consider the use of the Rainbow framework for autonomics to provide rapid but robust command and control at pace.
KW - autonomic
KW - command and control
KW - cyber-physical
KW - machine learning
UR - http://www.scopus.com/inward/record.url?scp=84868380131&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868380131&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-34059-8_4
DO - 10.1007/978-3-642-34059-8_4
M3 - Conference contribution
AN - SCOPUS:84868380131
SN - 9783642340581
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 81
EP - 93
BT - Large-Scale Complex IT Systems
T2 - 17th Monterey Workshop on Large-Scale Complex IT Systems, LSCITS 2012
Y2 - 19 March 2012 through 21 March 2012
ER -