Joint identification and accelerated optimization of plants with lag (Q802521)

A search algorithm of accelerated optimization is designed for a plant that has a linear part and a nonlinear characteristic, with variable parameters of the linear part and random, as well as monotonic disturbances. The algorithm is designed by representing at each search step the unknown parameters by piecewise-constant functions and the monotonic disturbance by a polynomial function, with the measurements being processed by the modified Prony method. The stability of the computational process is examined, and simulation results are presented.