Low-Gain Compensation for PDE-ODE Cascade Systems with Distributed Diffusion and Counter-Convection
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Number of pages | 8 |
Journal / Publication | IEEE Transactions on Automatic Control |
Publication status | Online published - 26 Apr 2022 |
Link(s)
DOI | DOI |
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Document Link | |
Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85129622654&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(db46ad42-06e0-412b-b725-3ea17b44e7ca).html |
Abstract
This note proposes two low-gain controllers for systems with distributed input dynamics, governed by diffusion equations with counter convection. It is shown that the considered PDE-ODE cascade system can be exponentially stabilized with the proposed low-gain controllers as long as the open-loop plant is not exponentially unstable. A key advantage of the proposed controllers is their much simplified form in comparison with the existing backstepping-designed controllers developed for the same systems. However at the same time, additional restrictions on the eigenvalues of the open-loop plant have to be imposed for low-gain controllers, which are not required in the backstepping design. Moreover, the Robin boundary condition, which is more general and also more difficult to deal with, is considered in this work. Several simulation examples are provided to illustrate effectiveness of our controllers.
Research Area(s)
- Actuators, Backstepping, Boundary conditions, Counter convection, Delays, Distributed diffusion, Eigenvalues and eigenfunctions, Linear systems, Low-gain compensation, Mathematical models, PDE-ODE cascade system
Citation Format(s)
Low-Gain Compensation for PDE-ODE Cascade Systems with Distributed Diffusion and Counter-Convection. / Xu, Xiang; Liu, Lu; Krstic, Miroslav et al.
In: IEEE Transactions on Automatic Control, 26.04.2022.
In: IEEE Transactions on Automatic Control, 26.04.2022.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review