State Estimation
State Estimation with Unconventional and Networked Measurements
... The state vectors of many dynamic systems evolve according to some linear or nonlinear equality ...attitude estimation problem, the attitude vector must have a unit norm ...For state ...
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State estimation by IMM filter in the presence of structural uncertainty
... the state estimation problem subject to structural uncertainty - unknown or changeable dimension of the system state ...system state is estimated when the structure and the true parameters of ...
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A model based approach for state estimation for networks
... 5 There are various data sources providing traffic data measurements. The most common are the induction loop detectors, which are roadside sensors that provide flow data. However, there are not enough induction loop ...
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A LINEAR STATE ESTIMATION FORMULATION FOR SMART DISTRIBUTION SYSTEMS
... State estimation is a mathematical tool in which a set of measurements is combined with an assumed mathematical model of a system so that the resulting set of equations relating measurements to the system ...
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State Estimation over Customized Wireless Network
... than the conventional wired alternative; reasonably, some of these issues deduce from the wireless networks struc- tures which we should address them in our design pro- cedure. In order to make a practical sense, the ...
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State Estimation for Systems on Lie Groups with Nonideal Measurements
... partial state measurement is generated by an action of the Lie group on a homogeneous output space [33– 35, 92, 93, ...proposed state estimation methods on the specific Lie groups SO ( 3 ) and SE ( 3 ...
153
Minimax quantum state estimation under Bregman divergence
... covariant state estimation, we now recall Holevo’s theorem [15, Theorem ...thus state it as the following lemma which is the main ingredient of the proof of Result ...
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A survey on transmission and distribution system’s State Estimation process
... (EMS). State Estimation (SE) is one of the EMS functions which have been known as basis of EMS since it provides creditable data from raw data supplied by measurement ...
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Weighted-Least-Square(WLS) State Estimation
... system state estimation is a central component in power system Energy Management ...A state estimator receives field measurement data from remote terminal units through data transmission systems, ...
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Real Time Dynamic State Estimation for Power System
... dynamic state estimation of power systems while including some numerical approximation for the calculation of the Jacobian and which was preceded by a convergence ...of estimation offered by the ...
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State estimation in multi agent decision and control systems
... the state of the system can be unambiguously recon- structed from the output associated with the current state and last and next ...networks, state estimation covers a fundamental role when ...
130
State Estimation of MEMs Capacitor Using Taylor Expansion
... Currently, micro-electro mechanical systems (MEMS) have shown remarkable popularity in the engineering industry because of their several advantages such as order of magnitude, smaller size, better performance, ...
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Algorithms and Performance Analysis for Synchrophasor and Grid State Estimation
... System State Estimation methods based on the joint use of pseudo-measurements and measurements from PMUs possibly using cheaper instrument than those available nowadays [49, ...main state ...
157
Distribution state estimation for smart distribution system
... This paper has presented a distribution state estimation method based on combination of real-time and pseudo measurement devices for conventional distribution system.. It applied state e[r] ...
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A ROBUST DECOUPLED WLAV STATE ESTIMATION FOR POWER SYSTEMS
... Most of the SE algorithms used in industry are based on weighted least square (WLS) approach [1-6]. Even a single bad measurement will distort the estimate, as these algorithms minimize the weighted sum of error squares. ...
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State Estimation of Spatio-Temporal Phenomena
... the state estimation problem of spatio-temporal phe- nomena which can be modeled by partial differential equations (PDEs), such as pollutant dispersion in the ...(DOF). State estimation using ...
208
Insights on the role of accurate state estimation in coupled model parameter estimation by a conceptual climate model study
... of state estimation impacts on the cou- pled model parameter estimation is an interesting and chal- lenging research ...non-periodic state changes (Taft, 1972; Yu et ...
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Urban traffic state estimation & prediction
... The parametric categorization represents models in which the principles behind the Lighthill– Whitham–Richards (Lighthill & Whitham, 1955) model, also known as a first order traffic flow and kinematic wave theory ...
100
On the state estimation for Dynamic Power System
... Control design, diagnosis and monitoring of power systems become a major concern and an important economic issue during the last decades, in particular, in industrialized countries. Indeed, the main reasons are not only ...
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Controllability, not chaos, key criterion for ocean state estimation
... ocean state estimation usually has similar charac- teristics: usage of an observation at the initial time, some prior knowledge of the forcing, and a freely running forward ...
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