Improved Results on Reachable Set Estimation of Linear Systems
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-018-9728-2
Abstract: In this study, we investigate the reachable set estimation for linear systems with discrete delay and distributed delay as well as disturbances. Based on the reciprocally convex combination lemma, free-weighting matrix approach and convex analysis… read more here.
Keywords: reachable set; set estimation; linear systems; estimation linear ... See more keywords
Interval Estimation for Linear Switched System
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.855
Abstract: In this paper, the problem of state estimation is investigated for linear switched system, a subclass of hybrid systems. It will be shown that the interval observer is very often exists under moderate conditions at… read more here.
Keywords: interval estimation; switched system; linear switched; estimation linear ... See more keywords
CBPS-based estimation for linear models with responses missing at random
Sign Up to like & getrecommendations! Published in 2018 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2017.1371752
Abstract: ABSTRACT In this article, based on the covariate balancing propensity score (CBPS), estimators for the regression coefficients and the population mean are obtained, when the responses of linear models are missing at random. It is… read more here.
Keywords: estimation linear; cbps based; based estimation; missing random ... See more keywords
Minimum distance estimation in linear regression with strong mixing errors
Sign Up to like & getrecommendations! Published in 2019 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2018.1563178
Abstract: Abstract Minimum distance estimation on the linear regression model with independent errors is known to yield an efficient and robust estimator. We extend the method to the model with strong mixing errors and obtain an… read more here.
Keywords: minimum distance; estimation linear; regression; linear regression ... See more keywords
Receding horizon estimation for linear discrete-time systems with multi-channel observation delays
Sign Up to like & getrecommendations! Published in 2019 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/cac.2017.8244050
Abstract: This paper investigates the receding horizon state estimation for the linear discrete-time system with multi-channel observation delays. The receding horizon estimation is designed by the reorganized observation technique and the linear unbiased estimation method. The… read more here.
Keywords: linear discrete; receding horizon; estimation; observation ... See more keywords
Robust Distributed Estimation for Linear Systems Under Intermittent Information
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2017.2737139
Abstract: We provide a comprehensive solution to the estimation problem of the state for a linear time-invariant system in a distributed fashion over networks that allow only intermittent information transmission. By attaching to each node an… read more here.
Keywords: estimation; information; estimation linear; distributed estimation ... See more keywords
Adaptive estimation in the linear random coefficients model when regressors have limited variation
Sign Up to like & getrecommendations! Published in 2022 at "Bernoulli"
DOI: 10.3150/21-bej1354
Abstract: We consider a linear model where the coefficients-intercept and slopes-are random and independent from regressors which support is a proper subset. When the density has finite weighted L 2 norm, for well chosen weights, the… read more here.
Keywords: estimation linear; model; random coefficients; linear random ... See more keywords
Parameter Estimation of Linear Stochastic Differential Equations with Sparse Observations
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14122500
Abstract: We consider parameter estimation for linear stochastic differential equations with independent experiments observed at infrequent and irregularly spaced follow-up times. The maximum likelihood method is used to obtain an asymptotically consistent estimator. A kernel-weighted score… read more here.
Keywords: stochastic differential; linear stochastic; parameter estimation; differential equations ... See more keywords