Linear-Type Discontinuous Control of Fixed-Deviation Stabilization and Synchronization for Fractional-Order Neurodynamic Systems With Communication Delays | Zendy

Jin-E Zhang | Zendy

Open Access

Linear-Type Discontinuous Control of Fixed-Deviation Stabilization and Synchronization for Fractional-Order Neurodynamic Systems With Communication Delays

Author(s) -

Jin-E Zhang

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2870979

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper aims to feature new results on fixed-deviation stabilization and synchronization in neurodynamic systems of fractional order. This paper attempts to propose novel control algorithms that are based on linear-type discontinuous control, on the approach of auxiliary functions, and on fractional calculus to solve the problems of fixed-deviation stabilization and synchronization. This paper remains the focus of attention for stabilization and synchronization from the discontinuous control point of view; namely, the system under consideration is subject to discontinuous control. This paper shows that as long as some system-parameter-dependent conditions hold, the fixed-deviation stabilization and synchronization in fractional-order neurodynamic systems with communication delays can still be guaranteed, while good performance can be achieved even with heavy interference. Moreover, the fixed-deviation degree can be directly derived and estimated. Examples, together with their respective numerical simulations, show that the developing results are verifiable.

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