期刊
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
卷 49, 期 11, 页码 2278-2287出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2017.2776940
关键词
Linear matrix inequalities (LMIs); quaternion-valued neural networks (QVNNs); state estimation; time delays
资金
- National Natural Science Foundation of China [61773004]
- Program of Chongqing Innovation Team Project in University [CXTDX201601022]
- Natural Science Foundation of Chongqing Municipal Education Commission [KJ1705138]
- Natural Science Foundation of Chongqing [cstc2017jcyjAX0082]
This paper addresses the issue of state estimation for the quaternion-valued neural networks (QVNNs) with leakage, discrete, and distributed delays by employing the Lyapunov stability theory and the quaternion matrix theory. The criteria are developed in two forms of quaternion-valued linear matrix inequalities (LMIs) and complex-valued LMIs for guaranteeing the existence and stability of state estimators of the delayed QVNNs. Two numerical examples are provided to illustrate the effectiveness of the obtained results.
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