Analysis of control strategies for systems with input-induced nonlinearities

Abstract

In this paper we consider the design of a nonlinear predictive controller based on a nonlinear dynamic model of the system so as to achieve tracking control for systems with input-induced nonlinearities. The economic performance under nonlinear dynamic behavior and changing operating conditions is discussed. The closed-loop properties are analyzed under suitable assumptions on the model of the plant. Control strategies are discussed and compared to different implementations in the literature. Simulation examples show the effectiveness of the proposed approaches. The approach has been validated on the example of an industrial printing system with large variations in the input print queue.