期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 62, 期 2, 页码 992-997出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2016.2566880
关键词
Control-theoretic approach; noise-tolerant zeroing neural network (NTZNN); numerical methods; time-varying problem solving; zero-finding methods
资金
- National Natural Science Foundation of China [61473323, 61401385]
- Science and Technology Program of Guangzhou, China [2014J4100057]
- Hong Kong Research Grants Council Early Career Scheme [25214015]
- Departmental General Research Fund of Hong Kong Polytechnic University [G.61.37.UA7L]
This technical note proposes a noise-tolerant zeroing neural network (NTZNN) design formula, and shows how recurrent (and recursive) methods for solving time-varying problems can be designed from the viewpoint of control. The NTZNN design formula provides a control-theoretic framework to deal with the convergence, stability and robustness issues of continuous-time (and discrete-time) models. NTZNN models derived from the proposed design formula demonstrate their advantages when applied to solving time-varying zero-finding problems in the presence of noises.
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