State estimation

A constrained recursive pseudo-linear regression scheme for on-line parameter estimation in adaptive control

Publication Type  Journal Article
Year of Publication  2010
Authors  Badwe, A.S.; Singh, A.; Patwardhan, S.C.; Gudi, R.D.
Journal Title  Journal of Process Control
Volume  20
Pages  559-572
Journal Date  2010
ISBN Number  0959-1524
Key Words  Recursive parameter estimation; Pseudo-linear regression; Constrained; state estimation; Adaptive model predictive control; MODEL-PREDICTIVE CONTROL; IDENTIFICATION; SYSTEMS
Notes  

ISI Document Delivery No.: 610QVTimes Cited: 0Cited Reference Count: 20Badwe, Abhijit S. Singh, Angadh Patwardhan, Sachin C. Gudi, Ravindra D.Board of Research in Nuclear Sciences, Government of India [2007/36/58-BRNS/465]The authors gratefully acknowledge research funding from the Board of Research in Nuclear Sciences (Project 2007/36/58-BRNS/465), Government of India.ELSEVIER SCI LTDOXFORD

URL  <Go to ISI>://000278750200001
DOI  10.1016/j.jprocont.2010.02.008
Citation Key  3905

A constrained recursive pseudo-linear regression scheme for on-line parameter estimation in adaptive control

Publication Type  Journal Article
Year of Publication  2010
Authors  Badwe, A.S.; Singh, A.; Patwardhan, S.C.; Gudi, R.D.
Journal Title  Journal of Process Control
Volume  20
Pages  559-572
Journal Date  2010
ISBN Number  0959-1524
Key Words  Recursive parameter estimation; Pseudo-linear regression; Constrained; state estimation; Adaptive model predictive control; MODEL-PREDICTIVE CONTROL; IDENTIFICATION; SYSTEMS
Notes  

ISI Document Delivery No.: 610QVTimes Cited: 0Cited Reference Count: 20Badwe, Abhijit S. Singh, Angadh Patwardhan, Sachin C. Gudi, Ravindra D.Board of Research in Nuclear Sciences, Government of India [2007/36/58-BRNS/465]The authors gratefully acknowledge research funding from the Board of Research in Nuclear Sciences (Project 2007/36/58-BRNS/465), Government of India.ELSEVIER SCI LTDOXFORD

URL  <Go to ISI>://000278750200001
DOI  10.1016/j.jprocont.2010.02.008
Citation Key  3254

Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter

Publication Type  Journal Article
Year of Publication  2011
Authors  Bavdekar, V.A.; Deshpande, A.P.; Patwardhan, S.C.
Journal Title  Journal of Process Control
Volume  21
Issue  4
Pages  585 - 601
Journal Date  2011///
Key Words  Covariance estimation; Expectation maximisation algorithm; Extended Kalman filter; Maximum likelihood estimates; Nonlinear state estimation; Bayesian; Characterisation; Covariance estimation; Decision variables; Derivative-free methods; EM algorithms; Exp
Notes  

Export Date: 5 July 2011Source: Scopus

URL  http://www.scopus.com/inward/record.url?eid=2-s2.0-79953818807&partnerID=40&md5=68347d1408af740607207f6ba586d689
DOI  10.1016/j.jprocont.2011.01.001
Citation Key  3207