TY - CHAP
T1 - Adaptive control of switched nonlinear systems
AU - Zhao, Xudong
AU - Kao, Yonggui
AU - Niu, Ben
AU - Wu, Tingting
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2017.
PY - 2017
Y1 - 2017
N2 - It has been shown in Ye, Neurocomputing 71:3373–3378 (2008), Yu, et al., Neurocomputing 156:245–251 (2015), Peng, et al., Neurocomputing 149:132–141 (2015), Miao, Neurocomputing 111:184–189 (2013), Xu, Neurocomputing 154:337–346 (2015), [1–5] that the adaptive backstepping technique is a powerful tool which has been widely used to solve some complex optimization problems and applied in the fields of industry and engineering.
AB - It has been shown in Ye, Neurocomputing 71:3373–3378 (2008), Yu, et al., Neurocomputing 156:245–251 (2015), Peng, et al., Neurocomputing 149:132–141 (2015), Miao, Neurocomputing 111:184–189 (2013), Xu, Neurocomputing 154:337–346 (2015), [1–5] that the adaptive backstepping technique is a powerful tool which has been widely used to solve some complex optimization problems and applied in the fields of industry and engineering.
UR - https://www.scopus.com/pages/publications/85029005652
U2 - 10.1007/978-3-319-44830-5_4
DO - 10.1007/978-3-319-44830-5_4
M3 - 章节
AN - SCOPUS:85029005652
T3 - Studies in Systems, Decision and Control
SP - 65
EP - 94
BT - Studies in Systems, Decision and Control
PB - Springer International Publishing
ER -