Passivity and Passification for a Class of Singularly Perturbed Nonlinear Systems via Neural Networks Conference Paper

abstract

• This paper is concerned with the problem of passivity and passification for a class of singularly perturbed nonlinear systems (SPNS) via neural network. By constructing a proper functional as well as the linear matrix inequalities (LMIs) technique, some novel sufficient conditions are derived to make SPNS passive. The allowable perturbation bound * can be determined via certain algebra inequalities, the proposed controller based on neural network will make SPNS passive for all (0, *). Finally, a numerical example is given to illustrate the theoretical results. 2012 IEEE.

name of conference

• The 2012 International Joint Conference on Neural Networks (IJCNN)

authors

• Huang, Tingwen

published proceedings

• The 2012 International Joint Conference on Neural Networks (IJCNN)

author list (cited authors)

• Wen, S., Zeng, Z., & Huang, T.

citation count

• 0

complete list of authors

• Wen, Shiping||Zeng, Zhigang||Huang, Tingwen

publication date

• June 2012

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/ijcnn.2012.6252808

International Standard Book Number (ISBN) 13

• 9781467314909

start page

• 1

end page

• 6

URL

• http%3A%2F%2Fdx.doi.org%2F10.1109%2Fijcnn.2012.6252808