Augmentation of adjustment algorithms for parameters in gradient self-adjusting model referenced systems

Way are suggested to reduce the dependence of processes in parameter adjustment on the control signals in gradient self-adjusting model referenced systems. The augmented algorithms are analyzed and compared with other algorithms. The findings are confirmed by results of digital modeling. The proposed algorithms are relatively simply implemented by analog or digital hardware.