TY - JOUR
T1 - Evolving intelligent system for the modelling of nonlinear systems with dead-zone input
AU - De Jesús Rubio, José
AU - Pérez-Cruz, J. Humberto
N1 - Funding Information:
The authors are grateful with the editors and reviewers for their valuable comments. The authors thank the Secretaría de Investigación y Posgrado, Comisión de Operación y Fomento de Actividades Académicas del IPN, and Consejo Nacional de Ciencia y Tecnología for their help in this research. Second author would like to thank the financial support through a postdoctoral fellowship from Mexican National Council for Science and Technology (CONACYT) .
PY - 2014
Y1 - 2014
N2 - In this paper, the modelling problem of nonlinear systems with dead-zone input is considered. To solve this problem, an evolving intelligent system is proposed. The uniform stability of the modelling error for the aforementioned system is guaranteed by means of a Lyapunov-like analysis. The effectiveness of the proposed technique is verified by simulations.
AB - In this paper, the modelling problem of nonlinear systems with dead-zone input is considered. To solve this problem, an evolving intelligent system is proposed. The uniform stability of the modelling error for the aforementioned system is guaranteed by means of a Lyapunov-like analysis. The effectiveness of the proposed technique is verified by simulations.
KW - Evolving systems
KW - Fuzzy systems
KW - Neural networks
KW - Nonlinear systems with dead-zone input
KW - Uniform stability
UR - http://www.scopus.com/inward/record.url?scp=84888303803&partnerID=8YFLogxK
U2 - 10.1016/j.asoc.2013.03.018
DO - 10.1016/j.asoc.2013.03.018
M3 - Artículo
SN - 1568-4946
VL - 14
SP - 289
EP - 304
JO - Applied Soft Computing Journal
JF - Applied Soft Computing Journal
IS - PART B
ER -