Abstract: In master oscillator-power amplifier (MOPA) systems for generating laser light, a fluorine concentration in each of the master oscillator and power amplifier chambers is maintained. While sensors at the chambers can measure certain values of some variables, the sensors do not directly measure fluorine concentration. As a further complication, the values received from the sensors are known to be affected by various specified variables. To estimate the effect on the received values, an RLS algorithm and covariance matrix are used. To ensure that the RLS algorithm is responsive to recent changes in a specified variable, portions of the covariance matrix are reset to more quickly and more heavily weight the more recent values.

Abstract: In master oscillator-power amplifier (MOPA) systems for generating laser light, a fluorine concentration in each of the master oscillator and power amplifier chambers is maintained. While sensors at the chambers can measure certain values of some variables, the sensors do not directly measure fluorine concentration. As a further complication, the values received from the sensors are known to be affected by various specified variables. To estimate the effect on the received values, an RLS algorithm and covariance matrix are used. To ensure that the RLS algorithm is responsive to recent changes in a specified variable, portions of the covariance matrix are reset to more quickly and more heavily weight the more recent values.