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Open AccessJournal ArticleDOI

Synthesis of multivariable nonlinear controllers by input/output linearization

Costas Kravaris, +1 more
- 01 Feb 1990 - 
- Vol. 36, Iss: 2, pp 249-264
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TLDR
In this article, the synthesis of nonlinear controllers for multivariable nonlinear processes that make the closed-loop system linear in an input/output sense is discussed, and necessary and sufficient conditions for linearizability via static state feedback are derived.
Abstract
This work concerns the synthesis of nonlinear controllers for multivariable nonlinear processes that make the closed-loop system linear in an input/output sense. Necessary and sufficient conditions for input/output linearizability via static state feedback are derived as well as formulas for the feedback law. Once such a static state feedback is applied to the process, an external multivariable linear controller with integral action can control it to set point. The proposed control methodology is tested through simulations in a semibatch copolymerization reactor example.

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Feedforward/feedback control of multivariable nonlinear processes

TL;DR: In this paper, the concept of relative order of an output with respect to an input, extended to include disturbance as well as manipulated inputs, is used to obtain a characterization of the dynamic interactions among the input and the output variables.
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Critique of exact linearization strategies for process control

TL;DR: It is shown that many design techniques recently developed for non-linear process control are based, either implicitly or explicitly, on exact linearization of the input-output map, and Extensions of basic techniques that are especially pertinent for process control problems are reviewed and evaluated.
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Control of batch product quality by trajectory manipulation using latent variable models

TL;DR: In this article, a novel inferential strategy for controlling end-product quality properties by adjusting the complete trajectories of the manipulated variables is presented, which is illustrated with a condensation polymerisation example for the production of nylon and with data gathered from an industrial emulsion polymerisation process.
Journal ArticleDOI

Structural evaluation of control configurations for multivariable nonlinear processes

TL;DR: In this paper, the structural characteristics of the process are analyzed using relative order as a structural measure of the initial sluggishness of the response and a structural analog of dead time, which expresses fundamental structural limitations in the control quality.