Packet-Based Estimation and Control - Revision history

Murray at 02:36, 26 November 2015

2015-11-26T02:36:19Z

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	* A. Tiwari, M. Jun, D. E. Jeffcoat, and R. M. Murray. The dynamic sensor coverage problem. In ''Proc. IFAC World Congress'', 2005.		* A. Tiwari, M. Jun, D. E. Jeffcoat, and R. M. Murray. The dynamic sensor coverage problem. In ''Proc. IFAC World Congress'', 2005.

			[[Category:Completed projects]]
			{{#set: agency=AFOSR \| end date = 2005}}

Murray at 02:21, 26 November 2015

2015-11-26T02:21:11Z

← Older revision		Revision as of 02:21, 26 November 2015
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	This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.		This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.
	~~[[Category:Projects]]~~
	[[Category:Completed projects]]		[[Category:Completed projects]]
			{{#set: agency=AFOSR \| end date = 2005}}

	== Papers ==		== Papers ==

Murray at 01:51, 26 November 2015

2015-11-26T01:51:25Z

← Older revision		Revision as of 01:51, 26 November 2015
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	This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.		This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.
	[[Category:Projects]]		[[Category:Projects]]
	[[Category:~~Active~~ projects]]		[[Category:Completed projects]]

	== Papers ==		== Papers ==

Murray at 21:06, 29 May 2006

2006-05-29T21:06:52Z

← Older revision		Revision as of 21:06, 29 May 2006
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	This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.		This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.
	[[Category:Projects]]		[[Category:Projects]]
	[[Category:Active ~~Projects~~]]		[[Category:Active projects]]

	== Papers ==		== Papers ==

Murray: tweaked category entry

2005-11-24T22:06:01Z

tweaked category entry

← Older revision		Revision as of 22:06, 24 November 2005
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	This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.		This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.
	[[Category:Projects]] [[Category:Active Projects]]		[[Category:Projects]]
			[[Category:Active Projects]]

	== Papers ==		== Papers ==

Murray at 21:47, 24 November 2005

2005-11-24T21:47:59Z

← Older revision		Revision as of 21:47, 24 November 2005
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	This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.		This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.
			[[Category:Projects]] [[Category:Active Projects]]

	== Papers ==		== Papers ==

Murray: /* Papers */

2005-11-24T17:56:55Z

Papers

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	* {{JGHM05-automatica}}		* {{JGHM05-automatica}}
			* {{JGHM05-cdc}}
	* ~~V. Gupta, D. P. Spanos, B. Hassibi, and R. M. Murray. Optimal LQG control across a packet~~-~~dropping link. ''Systems and Control Letters'', 2005. Submitted.~~

	* Z. Jin, V. Gupta, B. Hassibi, and R. M. Murray. State estimation utilization multiple description coding over lossy networks. In ''Proc. IEEE Control and Decision Conference'', 2005.		* Z. Jin, V. Gupta, B. Hassibi, and R. M. Murray. State estimation utilization multiple description coding over lossy networks. In ''Proc. IEEE Control and Decision Conference'', 2005.

Murray: /* Papers */ replaced citation with template

2005-11-24T17:48:19Z

Papers: replaced citation with template

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	== Papers ==		== Papers ==

	* ~~V. Gupta, T. H. Chung, B. Hassibi, and R. M. Murray.~~ {{~~paper-url\|2005i_jgm05~~-automatica~~\|On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage~~}}~~. ''Automatica'', 2005. In revision.~~		* {{JGHM05-automatica}}

	* V. Gupta, D. P. Spanos, B. Hassibi, and R. M. Murray. Optimal LQG control across a packet-dropping link. ''Systems and Control Letters'', 2005. Submitted.		* V. Gupta, D. P. Spanos, B. Hassibi, and R. M. Murray. Optimal LQG control across a packet-dropping link. ''Systems and Control Letters'', 2005. Submitted.

Murray: added citations

2005-11-24T17:45:10Z

added citations

← Older revision		Revision as of 17:45, 24 November 2005
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	This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.		This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.

			== Papers ==

			* V. Gupta, T. H. Chung, B. Hassibi, and R. M. Murray. {{paper-url\|2005i_jgm05-automatica\|On a stochastic sensor selection algorithm with applications in sensor scheduling and sensor coverage}}. ''Automatica'', 2005. In revision.

			* V. Gupta, D. P. Spanos, B. Hassibi, and R. M. Murray. Optimal LQG control across a packet-dropping link. ''Systems and Control Letters'', 2005. Submitted.

			* Z. Jin, V. Gupta, B. Hassibi, and R. M. Murray. State estimation utilization multiple description coding over lossy networks. In ''Proc. IEEE Control and Decision Conference'', 2005.

			* L. Shi, M. Epstein, A. Tiwari, and R. M. Murray. Estimation with information loss: Asymptotic analysis and error bounds In ''Proc. IEEE Control and Decision Conference'', 2005.

			* D. P. Spanos and R. M. Murray. Distributed sensor fusion using dynamic consensus. In ''Proc. IFAC World Congress'', 2005.

			* D. P. Spanos and R. M. Murray. Motion planning with wireless network constraints. In ''Proc. American Control Conference'', 2005.

			* D. P. Spanos, R. Olfati-Saber, and R. M. Murray. Approximate distributed kalman filtering in sensor networks with quantifiable performance. In ''International Conference on Information Processing in Sensor Networks (IPSN)'', 2005.

			* D. P. Spanos, R. Olfati-Saber, and R. M. Murray. Dynamic consensus for mobile networks. In ''Proc. IFAC World Congress'', 2005.

			* A. Tiwari, M. Jun, D. E. Jeffcoat, and R. M. Murray. The dynamic sensor coverage problem. In ''Proc. IFAC World Congress'', 2005.

Murray: created project page

2005-11-24T17:37:01Z

created project page

New page

This project is focused on developing algorithms for multi-vehicle, cooperative surveillance and reconnaissance that operate in a modern net-centric environment. These algorithms take into account the packet-based nature of modern networks by coding information in a manner that makes the performance of the system robust to packet loss, variable latency, and repeated transmissions. Results to date include analysis and design of estimation and control algorithms in the presence of packet loss, distributed estimation and sensor fusion algorithms for networked environments, and development of sensor selection and coverage techniques for spatio-temporal planning. Applications include cooperative estimation, formation management, and semi-autonomous ISR.