메뉴 건너뛰기




Volumn 46, Issue 7, 2001, Pages 998-1013

A framework for state-space estimation with uncertain models

Author keywords

Estimation; Guaranteed cost design; H filtering; Kalman filtering; Parametric uncertainty; Quadratic stability; Regularized least squares; Set valued estimation; Steady state filter

Indexed keywords

GUARANTEED-COST DESIGN; PARAMETRIC UNCERTAINTY; QUADRATIC STABILITY; SET-VALUED ESTIMATION; STATE-SPACE ESTIMATION; STEADY STATE FILTER;

EID: 0035391614     PISSN: 00189286     EISSN: None     Source Type: Journal    
DOI: 10.1109/9.935054     Document Type: Article
Times cited : (323)

References (47)
  • 38
    • 0004367823 scopus 로고    scopus 로고
    • A uniqueness result concerning a robust regularized least-squares solution
    • submitted for publication
    • Sayed, A.H.1    Chen, H.2
  • 46
    • 0032002873 scopus 로고    scopus 로고
    • Robust state estimation and model validation for discrete-time uncertain systems with a deterministic description of noise and uncertainty
    • (1998) Automatica , vol.34 , Issue.2 , pp. 271-274
    • Savkin, A.V.1    Petersen, I.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.