Stabilization of the GLV System with Asymptotically Unbounded External Disturbances

Author:

Liu Zhi1,Guo Rongwei2ORCID

Affiliation:

1. School of Information Engineering, Shandong Management University, Jinan 250357, China

2. School of Mathematics and Statistics, Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China

Abstract

This paper investigates the stabilization of the generalized Lotka–Volterra (GLV) biological model, which is affected by the asymptotically unbounded external disturbances, and presents some new results. Firstly, two stabilizers are proposed for the nominal GLV system. Then, some appropriate filters are designed and applied to asymptotically track the corresponding disturbances. Based on these filters, two disturbance-estimator (DE)-based controllers are presented to cancel the corresponding disturbances. Compared to the existing results, the advantage of this paper is in handling the asymptotically unbounded external disturbances effectively. Finally, the correctness and effectiveness of the proposed results are verified by computer simulation.

Funder

Scientific Research Plan of Shandong Management University

National Social Science Foundation of China

Natural Science Foundation of Shandong Province

Key R& D Program of Shandong Province

Publisher

MDPI AG

Subject

General Mathematics,Engineering (miscellaneous),Computer Science (miscellaneous)

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