Open AccessBook
Adaptive estimation and control : partitioning approach
TLDR
In this article, Kalman filtering theory structure and parameter adaptive estimation asymptotic and convergence properties of partitioned adaptive systems partitioning filter - probabilistic approach partitioning estimators - scattering approach pseudolinear partitioning filtering and tracking motion analysis two-stage bias correction estimators based on generalized partitioning filters in discrete-time systems multiple model adaptive filtering and control for Markovian jump systemAbstract:
Review of Kalman filtering theory structure and parameter adaptive estimation asymptotic and convergence properties of partitioned adaptive systems partitioning filter - probabilistic approach partitioning estimators - scattering approach pseudolinear partitioning filter and tracking motion analysis two-stage bias correction estimators based on generalized partitioning filter forward-pass fixed-interval smoother in discrete-time systems multiple model adaptive filtering and control for Markovian jump system.read more
Citations
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Survey of maneuvering target tracking. Part V. Multiple-model methods
X. Rong Li,Vesselin P. Jilkov +1 more
TL;DR: A comprehensive survey of techniques for tracking maneuvering targets without addressing the so-called measurement-origin uncertainty is presented in this article, which is centered around three generations of algorithms: autonomous, cooperating, and variable structure.
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Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models
Stylianos Sp. Pappas,Lambros Ekonomou,D. Ch. Karamousantas,George E. Chatzarakis,Sokratis K. Katsikas,Panos Liatsis +5 more
TL;DR: In this paper, an AutoRegressive Moving Average (ARMA) model is fitted on the data off-line using the Akaike Corrected Information Criterion (AICC) to fit the data in a successful manner.
Journal ArticleDOI
Control systems engineering education
N.A. Kheir,Karl Johan Åström,David M. Auslander,K. C. Cheok,Gene F. Franklin,M. Masten,M. Rabins +6 more
TL;DR: Control systems engineering education issues are discussed, including curricular issues including typical laboratory systems with emphasis on the role of simulation, logic and sequencing, and real-time simulation.
Journal ArticleDOI
Electricity demand load forecasting of the Hellenic power system using an ARMA model
Stylianos Sp. Pappas,Lambros Ekonomou,Panagiotis Karampelas,D.C. Karamousantas,Sokratis K. Katsikas,George E. Chatzarakis,P.D. Skafidas +6 more
TL;DR: In this paper, a new method for electricity demand load forecasting using the multi-model partitioning theory is presented, and compared with three other well established time series analysis techniques namely Corrected Akaike Information Criterion (AICC), AKAike's information Criterion(AIC) and Schwarz's Bayesian Information Criteria (BIC).
Journal ArticleDOI
General model-set design methods for multiple-model approach
X.R. Li,Zhanlue Zhao,Xiao-Bai Li +2 more
TL;DR: Three classes of general methods for optimal design of model sets-by minimizing distribution mismatch, minimizing modal distance, and moment matching, respectively-are proposed and theoretical results that address many of the associated issues are presented.
References
More filters
Journal ArticleDOI
Survey of maneuvering target tracking. Part V. Multiple-model methods
X. Rong Li,Vesselin P. Jilkov +1 more
TL;DR: A comprehensive survey of techniques for tracking maneuvering targets without addressing the so-called measurement-origin uncertainty is presented in this article, which is centered around three generations of algorithms: autonomous, cooperating, and variable structure.
Journal ArticleDOI
Electricity demand loads modeling using AutoRegressive Moving Average (ARMA) models
Stylianos Sp. Pappas,Lambros Ekonomou,D. Ch. Karamousantas,George E. Chatzarakis,Sokratis K. Katsikas,Panos Liatsis +5 more
TL;DR: In this paper, an AutoRegressive Moving Average (ARMA) model is fitted on the data off-line using the Akaike Corrected Information Criterion (AICC) to fit the data in a successful manner.
Journal ArticleDOI
Control systems engineering education
N.A. Kheir,Karl Johan Åström,David M. Auslander,K. C. Cheok,Gene F. Franklin,M. Masten,M. Rabins +6 more
TL;DR: Control systems engineering education issues are discussed, including curricular issues including typical laboratory systems with emphasis on the role of simulation, logic and sequencing, and real-time simulation.
Journal ArticleDOI
Electricity demand load forecasting of the Hellenic power system using an ARMA model
Stylianos Sp. Pappas,Lambros Ekonomou,Panagiotis Karampelas,D.C. Karamousantas,Sokratis K. Katsikas,George E. Chatzarakis,P.D. Skafidas +6 more
TL;DR: In this paper, a new method for electricity demand load forecasting using the multi-model partitioning theory is presented, and compared with three other well established time series analysis techniques namely Corrected Akaike Information Criterion (AICC), AKAike's information Criterion(AIC) and Schwarz's Bayesian Information Criteria (BIC).
Journal ArticleDOI
General model-set design methods for multiple-model approach
X.R. Li,Zhanlue Zhao,Xiao-Bai Li +2 more
TL;DR: Three classes of general methods for optimal design of model sets-by minimizing distribution mismatch, minimizing modal distance, and moment matching, respectively-are proposed and theoretical results that address many of the associated issues are presented.
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