"2001-06-11+02:00"^^ . "0"^^ . "2"^^ . "0"^^ . . "Comparison of on-line identification methods used for decentralised control"@en . . . . . "80-227-1542-5" . . "on-line identification, adaptive control, decentralised control, least square method, directional forgetting, exponential forgetting, project algorithm"@en . "1"^^ . "Comparison of on-line identification methods used for decentralised control" . . "\u0160trbsk\u00E9 Pleso" . . "Chalupa, Petr" . "Comparison of on-line identification methods used for decentralised control"@en . . "RIV/70883521:28110/01:00000016" . . "Bob\u00E1l, Vladim\u00EDr" . . "1;5" . "Bratislava" . . "Comparison of on-line identification methods used for decentralised control" . . "[0932CBD27F74]" . . . "Slovensk\u00E1 technick\u00E1 univerzita v Bratislave" . "28110" . "5"^^ . . . . . "P(GA102/00/0526), P(GA102/99/1292), Z(MSM 281100001)" . . "676008" . "Proc. 13 th International Conference on Process Control" . . "The paper compares methods of the on-line identification of a controlled system: project algorithm, least square method with exponential forgetting and with adaptive directional forgetting. The paper focuses on the usage of these methods for decentralised adaptive control. The methods are compared from several points of view: the speed and the accuracy of parameter convergence are compared, the robustness of the methods are discussed with respect to the initial estimation of the controlled system parameters, and the algorithm requirements of a computer hardware are mentioned. The practical results are obtained from the process of adaptive control of two-input two-output (TITO) linear system. The identification methods are tested as a part of simulationof adaptive decentralised control. The controllers parameters are computed on base of the pole placement method."@en . "RIV/70883521:28110/01:00000016!RIV/2002/GA0/281102/N" . . "The paper compares methods of the on-line identification of a controlled system: project algorithm, least square method with exponential forgetting and with adaptive directional forgetting. The paper focuses on the usage of these methods for decentralised adaptive control. The methods are compared from several points of view: the speed and the accuracy of parameter convergence are compared, the robustness of the methods are discussed with respect to the initial estimation of the controlled system parameters, and the algorithm requirements of a computer hardware are mentioned. The practical results are obtained from the process of adaptive control of two-input two-output (TITO) linear system. The identification methods are tested as a part of simulationof adaptive decentralised control. The controllers parameters are computed on base of the pole placement method." . .