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Zeroing Dynamics‐Based Stabilizing Controller Design of Diffusion‐Reaction Systems

Authors: Ahmed Maidi; Radoslav Paulen; Jean‐Pierre Corriou;

Zeroing Dynamics‐Based Stabilizing Controller Design of Diffusion‐Reaction Systems

Abstract

ABSTRACT Stabilizing nonlinear distributed parameter systems within the framework of the late lumping approach is a challenging problem. Diffusion‐reaction systems, described by semilinear partial differential equations, represent a common class of distributed parameter systems encountered in real applications. In this work, the zeroing dynamics method is used to design a stabilizing infinite‐dimensional controller for this important class of systems. Both distributed and boundary actuations are investigated. The design of the controller relies on the concept of the characteristic index. In the case of distributed control, as the characteristic index is finite, the design is straightforward. However, in the case of boundary control, the characteristic index is infinite, thus an equivalent pointwise control form is derived to reduce it to a special case of distributed control, which enables the controller design. In the disturbance‐free case, the developed controllers ensure exponential stability. In the presence of disturbances, the closed‐loop system remains stable, and the steady‐state error can be made arbitrarily small by tuning the controller parameters. Four common application examples from the literature are provided to demonstrate the effectiveness of the developed controllers: catalytic rod, monoenzyme system, heated rod, and FitzHugh‐Nagumo equation.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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