Algorithms for adaptive control and identification of nonlinear dynamic objects of a robotic technological complex with a reference model and signal adaptation

Abstract

 Integration of various multiply connected automatic control systems (MCACS) based on microcontrollers allows us to put the design processes and formation of robustly adaptive control algorithms in a fundamentally new way. This makes it possible to solve complex problems of multicriteria and optimization management in real time and quickly implement their full modernization. Design processes are implemented using a combination of procedures of optimal parameter estimation (identification) and the state of all controlled processes with optimization procedures of robustly adaptive control of interconnected drives using predictive and reference models.