Adaptive quantized controller design for synchronization of uncertain fractional-order nonlinear systems satisfying incremental quadratic constraints

Author:

Liu Leipo1ORCID,Shang Yilin1ORCID,Di Yifan1,Fu Zhumu1,Cai Xiushan2

Affiliation:

1. School of Information Engineering, Henan University of Science and Technology, Peoples Republic of China

2. College of Physics and Electronic Information Engineering, Zhejiang Normal University, Peoples Republic of China

Abstract

This paper proposes the adaptive quantized controller design for the synchronization of a class of fractional-order nonlinear systems satisfying incremental quadratic constraints governed by an incremental multiplier matrix. The incremental quadratic constraints can describe many commonly encountered nonlinearities in existing literature. The adaptive quantized controller are designed and formulated in terms of matrix inequalities to make the error system asymptotically stable. Meanwhile, the sufficient conditions can be obtained via solving linear matrix inequalities. Moreover, an algorithm is presented to illustrate the steps of designing adaptive quantized controllers. Finally, examples about fractional-order Lorenz chaotic system and fractional-order Bloch system are provided to illustrate the effectiveness of the designed controller.

Funder

National Natural Science Foundation of China

Scientific and Technological Innovation Leaders in Central Plains

Science and Technology Innovative Teams at the University of Henan Province

Publisher

SAGE Publications

Subject

Instrumentation

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