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https://hdl.handle.net/2440/132172
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Type: | Journal article |
Title: | Robust sampled-data model predictive control for networked systems with time-varying delay |
Author: | Shi, T. Shi, P. Wang, S. |
Citation: | International Journal of Robust and Nonlinear Control, 2019; 29(6):1758-1768 |
Publisher: | Wiley |
Issue Date: | 2019 |
ISSN: | 1049-8923 1099-1239 |
Statement of Responsibility: | Ting Shi, Peng Shi, Shuoyu Wang |
Abstract: | In this paper, the problem of sampled-data model predictive control (MPC) is investigated for linear networked control systems with both input delay and input saturation. The delay-induced nonlinearity is overapproximatively modeled as a polytopic inclusion. The nonlinear behavior of input saturation is expressed as a convex polytope. The resulting closed-loop systems are represented as linear systems with polytopic and additive norm-bounded uncertainties. The aim is to determine a robust MPC controller that asymptotically stabilizes the uncertain system at the origin with a certain level of quadratic performance. The effectiveness of the proposed algorithm is demonstrated by a numerical example. |
Keywords: | Input delay; input saturation; robust model predictive control; sampled-data control |
Rights: | © 2019 John Wiley & Sons, Ltd. |
DOI: | 10.1002/rnc.4483 |
Grant ID: | http://purl.org/au-research/grants/arc/DP170102644 |
Published version: | http://dx.doi.org/10.1002/rnc.4483 |
Appears in Collections: | Electrical and Electronic Engineering publications |
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