@inproceedings{bd49fc3f6f40455093cfccf7357b9d64,
title = "Adaptive control with prescribed performance for nonlinear two-inertia system",
abstract = "In this paper, a new adaptive neural dynamic surface control technique with an improved prescribed performance function is proposed for the nonlinear two-inertia system. An improved error transformation function is used to ensure the prescribed output tracking performance, and the neural network (NN) is utilized to estimate the unknown disturbance. The dynamic surface technique simplifies the controller by introducing first-order filters to eliminate “explosion of complexity” inherent in backstepping approach. Simulation results demonstrate the control scheme is effective.",
keywords = "Dynamic surface control (DSC), Neural network, Prescribed performance, Two-inertia system",
author = "Shubo Wang and Xuemei Ren",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2016.; Chinese Intelligent Systems Conference, 2015 ; Conference date: 01-01-2015",
year = "2016",
doi = "10.1007/978-3-662-48365-7\_45",
language = "English",
isbn = "9783662483633",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "443--451",
editor = "Yingmin Jia and Hongbo Li and Junping Du and Weicun Zhang",
booktitle = "Proceedings of the 2015 Chinese Intelligent Systems Conference",
address = "Germany",
}