Khyubental' F. Parameter optimization algorithms synthesis for digital control systems

In the dissertation a problem of adaptive control algorithms parameter optimization for stochastic nonstationary processes is considered. The process and disturbance parameters are assumed to be unknown. The complex of adaptive recursive procedures for parameter tuning of control algorithms with fixed structure, adaptive identification algorithms for processes with correlated disturbances and adaptive coordinated control and identification algorithm for stochastic nonstationary processes were developed. Simulation results confirmed efficiency of the developed algorithms. The proposed procedures are invariant to the controlled process type and allow to solve successfully different control problems in the presence of uncerntainties.