Results 291 to 300 of about 1,819,835 (332)

Distributed state estimation for uncertain linear systems: A regularized least-squares approach

at - Automatisierungstechnik, 2020
This 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, Z. Duan, Guanrong Chen, Ling Shi   +3 more
semanticscholar   +1 more source

State estimation of distribution networks

2023
Power 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.
openaire   +1 more source

Finite-Horizon Distributed State Estimation Under Randomly Switching Topologies and Redundant Channels

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, Xianye Bu, Zidong Wang, Fei Han   +3 more
semanticscholar   +1 more source

Perspectives on State Estimation: Spot Estimates Versus Distributions

IFAC Proceedings Volumes, 2012
Abstract The conventional Kalman filter gives an analytical expression for the spot estimate of the states, which is the mean of the assumed Gaussian distribution. Conventional Bayesian state estimators are developed under the assumption that the mean of the posterior of the states is the ‘best' estimate.
Vinay A. Bavdekar, Sirish L. Shah, Sachin C. Patwardhan   +2 more
openaire   +1 more source

Forming Distributed State Estimation Network From Decentralized Estimators

IEEE Transactions on Control Systems Technology, 2019
In this paper, we focus on the distributed state estimation of nonlinear systems comprised of several subsystems. We assume that a decentralized state estimation system already exists for the nonlinear system, where the local estimators can be of different types. In order to achieve improved estimation performance, the existing decentralized estimators
Xunyuan Yin, Jing Zeng, Jinfeng Liu
openaire   +1 more source

Distributed state estimation for discrete-time linear time invariant systems: A survey

Annual Reviews in Control, 2019
Motivated 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, A. Pascoal, Antonio Pedro Aguiar, C. Jones   +3 more
semanticscholar   +1 more source

Security distributed state estimation for nonlinear networked systems against DoS attacks

International Journal of Robust and Nonlinear Control, 2019
This paper is concerned with security distributed state estimation for nonlinear networked systems against denial‐of‐service attacks. By taking the effects of resource constraints into consideration, an event‐triggered scheme and a quantization mechanism
Jinliang Liu, W. Suo, Lijuan Zha, E. Tian, Xiangpeng Xie   +4 more
semanticscholar   +1 more source

Distributed state estimation technique for active distribution networks

2007 42nd International Universities Power Engineering Conference, 2007
The need for higher frequency in state estimation execution covering larger supervised networks has led to the investigation of faster and numerically more stable state estimation algorithms. However, technical developments in distributed energy management systems based on fast data communication networks open up the possibility of parallel or ...
L. Ramesh, S. P. Chowdhury, S. Chowdhury, A. A. Natarajan, Y. H. Song, P. K. Goswami   +5 more
openaire   +1 more source

Robust distributed state estimation of active distribution networks considering communication failures

, 2020
Due to the large scale and three-phase unbalance problem of active distribution networks (ADNs), traditional centralized state estimation (CSE) cannot meet the requirements on estimation accuracy and efficiency for real-time analysis and control of ...
Tingting Zhang, Peiran Yuan, Yaxin Du, Wen Zhang, Jian Chen   +4 more
semanticscholar   +1 more source

Field testing of distribution state estimator

22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013), 2013
State Estimator is the basic functionality necessary for the “smart” operation of power networks, both in transmission and distribution side. Being integrated in a power management system and facing different quality of network data, robustness and efficiency are essential to provide accurate estimation of a power network operation state.
N. Katic, null Zhou Yongji, null Li Fei, G. Svenda   +3 more
openaire   +1 more source