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The research focuses on a state estimation problem for the paper path and heat flow control of industrial printers. The dynamics of industrial printers can be modeled with a system with input-induced nonlinearities. This model of the system switches in time with a parameter vector which is externally triggered. An important issue in the design of the state estimator involves the question as to what...
The research in this paper focuses on a state estimation problem for paper path and heat flow control of industrial printers. The nonlinear dynamics can be approximated, up to an arbitrary accuracy, with a piecewise linear system, and an arbitrary time driven switching law. The stability and performance of the estimators are analyzed and proven based on Lyapunov theory. Simulation examples show the...
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...
The paper focuses on maximizing the economic performance (throughput) of industrial printers under changing operating conditions. An interesting problem for these printers is the cold start, when printing components have to be heated up as soon as possible to have minimum delay for the first print. To maximize the throughput of these machines, it is important to determine an optimal heating strategy,...
The paper discusses economic performance design under nonlinear dynamic behavior and changing operating conditions. Two methods to control plants with input-induced nonlinearities in the presence of hard constraints are presented. A nonlinear predictive controller is designed based on a nonlinear dynamic parameter-dependent model of the system for tracking control. Next a decomposition of the model...
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