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ATAL
2005
Springer
13 years 10 months ago
Approximating state estimation in multiagent settings using particle filters
State estimation consists of updating an agent’s belief given executed actions and observed evidence to date. In single agent environments, the state estimation can be formalize...
Prashant Doshi, Piotr J. Gmytrasiewicz
ATAL
2005
Springer
13 years 10 months ago
Using decision-theoretic models to enhance agent system survivability
A survivable agent system depends on the incorporation of many recovery features. However, the optimal use of these features requires the ability to assess the actual state of the...
Anthony R. Cassandra, Marian H. Nodine, Shilpa Bon...
ICW
2005
IEEE
133views Communications» more  ICW 2005»
13 years 10 months ago
Estimation of Linear Stochastic Systems over a Queueing Network
— In this paper, we consider the standard state estimation problem over a congested packet-based network. The network is modeled as a queue with a single server processing the pa...
Michael Epstein, Abhishek Tiwari, Ling Shi, Richar...
ATAL
2007
Springer
13 years 10 months ago
Approximate state estimation in multiagent settings with continuous or large discrete state spaces
We present a new method for carrying out state estimation in multiagent settings that are characterized by continuous or large discrete state spaces. State estimation in multiagen...
Prashant Doshi
ICRA
2007
IEEE
160views Robotics» more  ICRA 2007»
13 years 11 months ago
CRF-Filters: Discriminative Particle Filters for Sequential State Estimation
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
Benson Limketkai, Dieter Fox, Lin Liao
8
Voted
CIRA
2007
IEEE
141views Robotics» more  CIRA 2007»
13 years 11 months ago
Unmanned Ground Vehicle State Estimation using an Unmanned Air Vehicle
—Unmanned Air Vehicles (UAVs) have several advantages and disadvantages compared with Unmanned Ground Vehicles (UGVs). Both systems have different mobility and perception abiliti...
Donald K. MacArthur, Carl D. Crane III
CDC
2008
IEEE
123views Control Systems» more  CDC 2008»
13 years 11 months ago
Fast state estimation in linear time-varying systems: An algebraic approach
— In this note, an algebraic approach for state estimation of linear time-varying (LTV) systems is introduced. This approach is based on the following mathematical tools: Laplace...
Yang Tian, Thierry Floquet, Wilfrid Perruquetti
KI
2009
Springer
13 years 11 months ago
Maximum a Posteriori Estimation of Dynamically Changing Distributions
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
Michael Volkhardt, Sören Kalesse, Steffen M&u...
ICRA
2009
IEEE
143views Robotics» more  ICRA 2009»
13 years 11 months ago
Decentralized localization for dynamic and sparse robot networks
Abstract— Finite-range sensing and communication are factors in the connectivity of a dynamic mobile robot network. State estimation becomes a difficult problem when communicati...
Keith Yu Kit Leung, Timothy D. Barfoot, Hugh H. T....
CCS
2009
ACM
13 years 11 months ago
False data injection attacks against state estimation in electric power grids
A power grid is a complex system connecting electric power generators to consumers through power transmission and distribution networks across a large geographical area. System mo...
Yao Liu, Michael K. Reiter, Peng Ning