Title :
Optimal fitted observation of random Gaussian processes
Author :
Platonov, Anatoliy A.
Author_Institution :
Inst. of Electron. Syst., Warsaw Univ. of Technol., Warsaw, Poland
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
Optimal observation using nonlinear observers with saturation-type characteristic is discussed. The main attention is paid to the general principles of optimal fitting of the observers parameters to initially unknown or changing conditions of an experiment. Optimal laws for adaptive adjusting of the observer and examples of corresponding identification equations are presented.
Keywords :
Gaussian processes; adaptive control; nonlinear control systems; observers; random processes; adaptive observer adjustment; changing conditions; general principles; identification equations; nonlinear observers; optimal laws; optimal observer parameter fitting; random Gaussian processes; saturation-type characteristic; unknown conditions; filtering; identification; nonlinear fitted observation;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
