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Distributed state estimation for uncertain linear systems: A regularized least-squares approach
at - Automatisierungstechnik, 2020This paper addresses the state estimation problem for a discrete-time uncertain system with a network of sensors, where the system is not necessarily observable by each sensor and deterministic uncertainties exist in the system matrices.
Peihu Duan +3 more
semanticscholar +1 more source
2019
In this chapter, we extend the decentralized state estimation and event inference techniques discussed in Chap. 9 to distributed settings. We again consider an underlying monolithic system that is modeled as a labeled nondeterministic finite automaton and is observed by multiple observation sites with different observation capabilities (i.e., each site
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In this chapter, we extend the decentralized state estimation and event inference techniques discussed in Chap. 9 to distributed settings. We again consider an underlying monolithic system that is modeled as a labeled nondeterministic finite automaton and is observed by multiple observation sites with different observation capabilities (i.e., each site
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020
The distributed state estimation problem is examined for a kind of nonlinear time-varying stochastic systems through sensor networks (SNs) with randomly switching topologies as well as redundant channels. The random switches of the topologies for SNs are
Hongli Dong +3 more
semanticscholar +1 more source
The distributed state estimation problem is examined for a kind of nonlinear time-varying stochastic systems through sensor networks (SNs) with randomly switching topologies as well as redundant channels. The random switches of the topologies for SNs are
Hongli Dong +3 more
semanticscholar +1 more source
Distributed UAV State Estimation in UTM context
2019 6th International Conference on Control, Decision and Information Technologies (CoDIT), 2019This paper proposes the application of a hybrid consensus on information (CI) and consensus on measurements (CM) algorithm, named HCMCI, to deal with the Distributed State Estimation (DSE) problem for a set of cooperating UAVs equipped with heterogeneous on board sensors and limited range communication devices.
Cicala M. +3 more
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IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019
Smart grid (SG) represents a large-scale network system with the tight integration of a physical power network and an information network, which makes it more vulnerable to hybrid cyber attacks against different regional subsystems. First, an alternating
D. Du +5 more
semanticscholar +1 more source
Smart grid (SG) represents a large-scale network system with the tight integration of a physical power network and an information network, which makes it more vulnerable to hybrid cyber attacks against different regional subsystems. First, an alternating
D. Du +5 more
semanticscholar +1 more source
Requirements-driven distribution state estimation
22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), 2013com ABSTRACT This paper describes the development of distribution state estimation for trial on the Orkney Isles in the north of Scotland. The paper discusses the techniques selected for the trial based on the requirements of the distribution network operator. The techniques include the use of a novel error estimation technique that calculates an error
E. Davidson +5 more
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Robust distribution state estimation for active networks
2008 43rd International Universities Power Engineering Conference, 2008A heuristic optimization algorithm based on the Dynamic Programming theory is proposed to find the optimal placement of measurement devices, i.e. to determine their number and position. The optimization procedure explicitly considers network reconfigurations (caused by random faults or by the active management of the network), so that the final ...
PILO, FABRIZIO GIULIO LUCA +2 more
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Distributed state estimation for discrete-time linear time invariant systems: A survey
Annual Reviews in Control, 2019Motivated by the increasing availability and quality of miniaturized sensors, computers, and wireless communication devices and given their enormous potential, the use of wireless sensor networks (WSN) has become widespread.
Francisco F. C. Rego +3 more
semanticscholar +1 more source
IEEE Transactions on Signal and Information Processing over Networks, 2020
This paper deals with the distributed state estimation problem for an array of discrete time-varying systems over sensor networks under dynamic event-based transmission scheme (DETS), random parameter matrices (RPMs) and dynamic measurement quantization (
Shaoying Wang +3 more
semanticscholar +1 more source
This paper deals with the distributed state estimation problem for an array of discrete time-varying systems over sensor networks under dynamic event-based transmission scheme (DETS), random parameter matrices (RPMs) and dynamic measurement quantization (
Shaoying Wang +3 more
semanticscholar +1 more source
State estimation of distribution networks
2023Power system state estimation has been introduced over four decades ago and since then has become an integral part of the day to day network operation. State estimators are implemented in almost every control center around the world and are used to continuously monitor the power system in a near real-time fashion.
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