Adaptive Synchronization of 4-Dimensional Energy Resource Unknown Time-Varying Delay Systems
Author(s) -
Duo Meng,
Yongming Li
Publication year - 2017
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.2017.2758384
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 proposed a fuzzy adaptive chaos synchronization method for a 4-D energy resource system with time-varying delays. The unknown time-varying delays are compensated based on Lyapunov-Krasovskii functional. Fuzzy logic systems are adopted to approximate the unknown nonlinear functions. Under the condition that all the system parameters are useless, an adaptive synchronization scheme is presented based on robust adaptive theory and Lyapunov stability to ensure that the two chaotic systems asymptotically synchronized. It is shown that all the signals in the closed-loop system are proved to be bounded, and the system output could track the given reference signal. The simulation example is given to illustrate the effectiveness of the design proposed schemes.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom