REPETITIVE ADAPTIVE CONTROL OF NONLINEAR UNCERTAIN PLANT WITH INPUT SATURATION
The article proposes solution to the problem of synthesizing adaptive control algorithm for dynamic T-periodic nonlinear plant operating under conditions of structural and parametric uncertainty, in the presence of input restrictions and constant bounded disturbances. The hyperstability criterion, L-dissipativity conditions, fast-acting filter-correctors, and an implicit reference model are used as the methods for synthesis of repetitive adaptive control system.
Keywords: structural and parametric uncertainty, generator for periodic signals, repetitive adaptive control, hyperstability criterion, correction filter, implicit reference model
