Objective functions

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

Optimal synthesis of an industrial fluorspar beneficiation plant using a jumping gene adaptation of genetic algorithm

Publication Type  Journal Article
Year of Publication  2009
Authors  Guria, C.; Varma, M.; Gupta, S.K.; Mehrotra, S.P.
Journal Title  Minerals and Metallurgical Processing
Volume  26
Issue  4
Pages  187 - 202
Journal Date  2009///
Key Words  Circuit/network optimization; Feed identification; Froth flotation; Genetic algorithm; Global optimal; Industrial fluorspar beneficiation; Jumping gene; Mineral processing; Multi-objective optimization; Beneficiation plants; Circuit optimization; Circuit/
Notes  

Export Date: 23 March 2010Source: Scopus

URL  http://www.scopus.com/inward/record.url?eid=2-s2.0-70450211160&partnerID=40&md5=bed1e231ed6a9d2ebb25b96424f02688
Citation Key  2020