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Dynamic-Calibration
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Shamil Mamedov 7e7f3512c4 experiment design is changed as to have two options for optimization algorithms - pattern search and genetic algorithm. Generation of full regressor and well as load regressor are put into seperate file 2019-12-19 09:48:18 +03:00
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trajectory_optmzn experiment design is changed as to have two options for optimization algorithms - pattern search and genetic algorithm. Generation of full regressor and well as load regressor are put into seperate file 2019-12-19 09:48:18 +03:00
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ur_base_params_QRlgr.m experiment design is changed as to have two options for optimization algorithms - pattern search and genetic algorithm. Generation of full regressor and well as load regressor are put into seperate file 2019-12-19 09:48:18 +03:00
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ur_base_params_sym.m experiment design is changed as to have two options for optimization algorithms - pattern search and genetic algorithm. Generation of full regressor and well as load regressor are put into seperate file 2019-12-19 09:48:18 +03:00
ur_exprmt_dsgn.m experiment design is changed as to have two options for optimization algorithms - pattern search and genetic algorithm. Generation of full regressor and well as load regressor are put into seperate file 2019-12-19 09:48:18 +03:00
ur_exprmt_dsgn.m~ experiment design is changed as to have two options for optimization algorithms - pattern search and genetic algorithm. Generation of full regressor and well as load regressor are put into seperate file 2019-12-19 09:48:18 +03:00
ur_regressors_lgr.m experiment design is changed as to have two options for optimization algorithms - pattern search and genetic algorithm. Generation of full regressor and well as load regressor are put into seperate file 2019-12-19 09:48:18 +03:00

README.md

dynamic_calibration