Technologies Leading to Unified Multi-Agent Collection and Coordination

摘要: The problem of managing swarms UAVs consists multi-agent collection (i.e., distributed robust data fusion and interpretation) coordination platform sensor monitoring control). These two processes should be feedback-connected in order to improve the over-all quality collected on suitable targets. This paper summarizes work proposed by Lockheed Martin Tactical Systems (LMTS) Eagan MN its subcontractor Scientific Co., Inc. (SSCI) Woburn MA, under contract F49620-01-C-0031 AFOSR Cooperative Control Theme 2. LMTS SSCI have (1) develop a mathematical programming framework for hybrid systems analysis synthesis, (2) computational control paradigm, (3) transition-aware anytime algorithms time-bounded (4) modeling cooperative UAV SEAD-type mission. Regarding collection, will new theoretical approaches integrating multiplatform, multisensor, multitarget management into theory; (5) investigate real-time nonlinear filtering detecting tracking low-observable targets; (6) distributed, fusion; (7) language Multi-Agent Coordination broad enough encompass Bayesian, Dempster-Shafer, fuzzy-logic inference. basis our approach is twofold: (a) novel hybrid-systems architecture that integrates best current approaches; (b) foundation multisensor-multitarget problems called “finite-set statistics.” Our theoretically rigorous statistics (hybrid control, point process theory) with potential practicability (computational filtering).