Results 21 to 30 of about 1,808,653 (333)
Self-Organizing Distributed State Estimators [PDF]
Distributed solutions for signal processing techniques are important for establishing large-scale monitoring and control applications. They enable the deployment of scalable sensor networks for particular application areas. Typically, such networks consists of a large number of vulnerable components connected via unreliable communication links and are ...
Sijs, J., Papp, Z.
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Self-adaptive Distribution System State Estimation [PDF]
Electricity plays an increasingly important role in our society. Indeed, we are moving toward the era of “everything electric”. The needs evolving, it is mandatory to rethink the way electricity is produced and distributed. This then introduces the concept of an autonomous and intelligent power system called the Smart Grid.
Perles, Alexandre +2 more
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Plug-and-play distributed state estimation for linear systems [PDF]
This paper proposes a state estimator for large-scale linear systems described by the interaction of state-coupled subsystems affected by bounded disturbances.
Farina, Marcello +3 more
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Distributed Moving Horizon Fusion Estimation for Nonlinear Constrained Uncertain Systems
This paper studies the state estimation of a class of distributed nonlinear systems. A new robust distributed moving horizon fusion estimation (DMHFE) method is proposed to deal with the norm-bounded uncertainties and guarantee the estimation performance.
Shoudong Wang, Binqiang Xue
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Distributed bounded-error state estimation [PDF]
No ...
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Distributed state estimation is of paramount importance in many applications involving the large-scale complex systems over spatially deployed networked sensors.
Shuaiting Huang, Yuzhe Li, Junfeng Wu
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Distributed State Estimation of Multi-region Power System based on Consensus Theory
Effective state estimation is critical to the security operation of power systems. With the rapid expansion of interconnected power grids, there are limitations of conventional centralized state estimation methods in terms of heavy and unbalanced ...
Shiwei Xia +6 more
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Conundrum of fault detection in active hybrid AC–DC distribution networks
Fault detection in hybrid AC–DC distribution networks is a challenging problem due to various sources of uncertainty and high degrees of complexity. A few well-known sources that instil uncertainty in the system are stochasticity of energy injected by ...
Shahram Negari, David Xu
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The AC-DC hybrid microgrid is a credible evolution path for the microgrid. State estimation in complex distribution network is a significant foundation for the safe operation.
Ling Ping +3 more
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Distributed State Fusion Estimation of Multi-Source Localization Nonlinear Systems
For the state estimation problem of a multi-source localization nonlinear system with unknown and bounded noise, a distributed sequential ellipsoidal intersection fusion estimation algorithm based on the dual set-membership filtering method is proposed ...
Peng Liu +3 more
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