A model reference adaptive system(MRAS) controller was designed for airborne variable pressure hydraulic power system based on augmented error stability theory,and the bad effect of inaccurate system parameter evaluation without parameter online measurement on system s steady or dynamics performance was reduced.

It doesn t need importing the augmented error signal,which has bring a very complex algorithm in the MRACS design,then to get the adaptive control law.

The bounds of change-one generalization error under united algorithmic;

Subspace information criterion is a new criterion for model selection,it gives an unbiased estimate for the generalization error under some assumptions.

In machine learning,subspace information criterion(SIC) gives an unbiased estimate of the generalization error.

Channel mismatches errors include offset error,gain error and time error.

To remove the offset error and the gain error in the data acquisition system (DAS) and satisfy the accuracy and real-time requirements of the system, a FPGA-based self-calibration method for data acquisition is presented.

Because mismatches,such as offset error,gain error as well as time-skew error,may degrade SINAD(signal-to-noise-and-distortion ratio) of the time-intetrleaved ADC(TIADC) system,an explicit analysis of such three channel mismatch effects in the time-interleaved ADC system based on the filter-bank method was presented.