Industrial Internet of Things: Design and Stabilization of Nonlinear Automation Systems

Abstract

A fuzzy model-based method for Internet-based control of nonlinear automation systems is presented, here. In this way, the nonlinear system is decomposed to a set of fuzzy-blended locally linearized subsystems, and further the previously proposed variable selective control methodology is applied to each subsystem. In order to deal with Internet effects, real-time control signals are constructed for every entry of pre-specified vector of time delays, which is chosen based on the presumed upper-bound of the network time delay. Using the idea of parallel distributed compensation strategy and by solving linear matrix inequalities, the closed-loop stability of the overall Internet-based control system is guaranteed. Simulation studies on two well-known benchmark problems demonstrate the effectiveness of the proposed method.