Amanote Research

Amanote Research

    RegisterSign In

Constrained LAV State Estimation Using Penalty Functions

IEEE Transactions on Power Systems - United States
doi 10.1109/59.575725
Full Text
Open PDF
Abstract

Available in full text

Categories
Electronic EngineeringPower TechnologyElectricalEnergy Engineering
Date

January 1, 1997

Authors
H. SinghF.L. AlvaradoW.-H.E. Liu
Publisher

Institute of Electrical and Electronics Engineers (IEEE)


Related search

Penalty Functions

English

Essential Matrix Estimation Using Adaptive Penalty Formulations

2014English

Constrained Optimization Using Penalty Function Method Combined With Genetic Algorithm

ITM Web of Conferences
2018English

Integrative Analysis of ‘-Omics’ Data Using Penalty Functions

Wiley Interdisciplinary Reviews: Computational Statistics
StatisticsProbability
2014English

Constrained Multi-Global Optimization Using a Penalty Stretched Simulated Annealing Framework

2009English

Stochastic Optimization With Inequality Constraints Using Simultaneous Perturbations and Penalty Functions

English

Constrained Benchmark Functions

2017English

New Viewpoints About Pseudo Measurements Method in Equality-Constrained State Estimation

Mathematical Problems in Engineering
MathematicsEngineering
2015English

Multirate State Estimation Using Moving Horizon Estimation

IFAC Proceedings Volumes
2005English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy