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Distributed Kalman filtering based on consensus strategies
, 2007
"... In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local estimate based on its own measurements and estimates from its neighbors. Estimation is performed via a two stage strategy, the first being a Kalman- ..."
Abstract
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Cited by 60 (1 self)
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for fastest convergence and using the centralized optimal gain is not necessarily the optimal strategy if the number of exchanged messages per sampling time is small. Moreover, we showed that although the joint optimization of the consensus matrix and the Kalman gain is in general a non-convex problem
Distributed Filter with Consensus Strategies for Sensor Networks
"... Consensus algorithm for networked dynamic systems is an important research problem for data fusion in sensor networks. In this paper, the distributed filter with consensus strategies known as Kalman consensus filter and information consensus filter is investigated for state estimation of distribute ..."
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Consensus algorithm for networked dynamic systems is an important research problem for data fusion in sensor networks. In this paper, the distributed filter with consensus strategies known as Kalman consensus filter and information consensus filter is investigated for state estimation
A New Extension of the Kalman Filter to Nonlinear Systems
, 1997
"... The Kalman filter(KF) is one of the most widely used methods for tracking and estimation due to its simplicity, optimality, tractability and robustness. However, the application of the KF to nonlinear systems can be difficult. The most common approach is to use the Extended Kalman Filter (EKF) which ..."
Abstract
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Cited by 778 (6 self)
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) which simply linearises all nonlinear models so that the traditional linear Kalman filter can be applied. Although the EKF (in its many forms) is a widely used filtering strategy, over thirty years of experience with it has led to a general consensus within the tracking and control community
Distributed Kalman filtering using consensus strategies
"... Abstract — In this paper, we consider the problem of estimating the state of a dynamical system from distributed noisy measurements. Each agent constructs a local estimate based on its own measurements and estimates from its neighbors. Estimation is performed via a two stage strategy, the first bein ..."
Abstract
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Cited by 23 (0 self)
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that optimizing the consensus matrix for fastest convergence and using the centralized optimal gain is not necessarily the optimal strategy if the number of message exchange per sampling time is small. Moreover, we prove that under certain conditions the optimal consensus matrix should be doubly stochastic. We
Diffusion strategies outperform consensus strategies for distributed estimation over adaptive networks
, 2012
"... ..."
How to make a decision: the analytic hierarchy process
- European Journal of Operational Research
, 1990
"... Policy makers at all levels of decision making in organizations use multiple criteria to analyze their complex problems. Multicriteria thinking is used formally to facilitate their decision making. Through trade-offs it clarifies the advantages and disadvantages of policy options under circumstances ..."
Abstract
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Cited by 411 (0 self)
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circumstances of risk and uncertainty. It is also a tool vital to forming corporate strategies needed for effective competition. Nearly all of us, in one way or another, have been brought up to believe that clearheaded logical thinking is our only sure way to face and solve problems. We also believe that our
Consensus
"... Abstract: Invasive meningococcal disease is a serious infection that occurs worldwide. Neisseria meningitidis remains one of the leading causes of bac-terial meningitis in all ages. Despite the availability of safe and effective vaccines against invasive meningococcal disease, few countries in Latin ..."
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in Latin America implemented routine immunization programs with these vaccines. The Americas Health Foundation along with Fighting Infectious Disease in Emerging Countries recently sponsored a consensus conference. Six experts in infectious diseases from across the region addressed questions related
Nonlinear Consensus Control of UAV Elastic Formation
"... Abstract. The unmanned aerial vehicle (UAV) formation flight is studied by consensus strategy. Firstly, the UAV formation model with nonlinear elastic characteristics is established and proved to be Uniformly Ultimately Bounded (UUB). Secondly, a consensus strategy controller is designed combining w ..."
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Abstract. The unmanned aerial vehicle (UAV) formation flight is studied by consensus strategy. Firstly, the UAV formation model with nonlinear elastic characteristics is established and proved to be Uniformly Ultimately Bounded (UUB). Secondly, a consensus strategy controller is designed combining
Optimal strategies in the average consensus problem
- in Proceedings of the IEEE Conference on Decision and Control
, 2007
"... Abstract — We prove that for a set of communicating agents to compute the average of their initial positions (average consensus problem), the optimal topology of communication is given by a de Bruijn’s graph. Consensus is then reached in a finitely many steps. A more general family of strategies, co ..."
Abstract
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Cited by 13 (0 self)
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Abstract — We prove that for a set of communicating agents to compute the average of their initial positions (average consensus problem), the optimal topology of communication is given by a de Bruijn’s graph. Consensus is then reached in a finitely many steps. A more general family of strategies
Results 1 - 10
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