supported in part by National Key R&D Program of China under Grant No.2018YFA0703800;the National Natural Science Foundation of China under Grant No.U21B6001;the China Postdoctoral Science Foundation under Grant No.2021TQ0352。
This paper studies sampled-data proportional-integral(PI)control for a basic class of nonlinear uncertain systems.The authors claim that a process with the first-order dynamics can achieve zero steady-state error thro...
supported by the National Natural Science Foundation of China under Grants Nos.62173034,61925303,and 62088101。
This paper focuses on the disturbance suppression issue of hidden semi-Markov jump systems leveraging composite control.The system consists of a semi-Markov layer and an observed mode sequence layer,and it is subject ...
This research was supported by the National Natural Science Foundation of China under Grant Nos.11861074,11731011,11731015 and 12261051;Applied Basic Research Project of Yunnan Province under Grant No.2019FB138.
Existing methods for analyzing semi-functional linear models usually assumed that random errors are not serially correlated or serially correlated with the known order.However,in some applications,these assumptions on...
This research was supported by the Science Challenge Project under Grant No.TZ2018001.
Recently,uncertainty quantification is getting more and more attention,especially for computer model calibration.However,most of the existing papers assume the errors follow a Gaussian or sub-Gaussian distribution,whi...
This paper was supported by the Science Center Program of the National Natural Science Foundation of China under Grant No.62188101;the Joint Funds of the National Natural Science Foundation of China under Grant No.U2013203.
In this paper,the prescribed error trajectory control is proposed for second-order fully actuated systems.At first,by taking advantage of the full-actuation property,an intermediate control law is designed such that t...
supported by the National Natural Science Foundation of China under Grant Nos.11661003,11571073,11831008,11971235;the Natural Science Foundation of Jiangxi Province under Grant Nos.20161BAB201033,20192BAB201006;Science and Technology Project of Education Department of Jiangxi Province under Grant Nos.GJJ150582,GJJ160559
The performances of preliminary test estimators for error variance based on W,LR and LM tests in a normal linear model are considered in this paper.Firstly,the risks of the proposed estimators are derived and compared...
supported by the National Natural Science Foundation of China under Grants Nos.61633014;61573221;and 61803239;the Shandong Postdoctoral Innovation Project Special Funding Project under Grant No.201703021。
In this paper,the consensus problem is investigated for discrete-time multi-agent systems with additive process noises.Due to the presence of additive noises in the system dynamics,consensus cannot be achieved.The mai...
supported by the National Natural Science Foundation of China under Grant Nos.11171007/A011103,11171230,and 11471024
This paper proposes a Bayesian semiparametric accelerated failure time model for doubly censored data with errors-in-covariates. The authors model the distributions of the unobserved covariates and the regression erro...
supported by the National Natural Science Foundation of China under Grant Nos.11171011 and 11471036;the Natural Science Foundation of Beijing under Grant No.1132007;Beijing Municipal Science and Technology Project under Grant No.km201410005011
Linear mixed effect models with skew-normal errors and distribution-free random effects are considered. The ANOVA-type F-tests are proposed to test the significance of random effects and the hypothesis on fixed effect...
supported by the National Natural Science Foundation of China under Grant Nos.11271088and 11361011;the Natural Science Foundation of Guangxi under Grant Nos.2013GXNSFAA019004 and2013GXNSFAA019007
This paper proposes to use the blockwise empirical likelihood (EL) method to construct the confidence regions for the regression vector β in a partially linear model under negatively associated errors. It is shown ...