An adaptive neural network (NN)-based output feedback controller is proposed to deliver a desired tracking performance for a class of discrete-time nonlinear systems, which are represented in non-strict feedback form. The NN backstepping approach is utilized to design the adaptive output feedback co
β¦ LIBER β¦
Output feedback strict passivity of discrete-time nonlinear systems and adaptive control system design with a PFC
β Scribed by Ikuro Mizumoto; Satoshi Ohdaira; Zenta Iwai
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 504 KB
- Volume
- 46
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
β¦ Synopsis
In this paper, a passivity-based adaptive output feedback control for discrete-time nonlinear systems is considered. Output Feedback Strictly Passive (OFSP) conditions in order to design a stable adaptive output control system will be established. Further, a design scheme of a parallel feedforward compensator (PFC), which is introduced in order to realize an OFSP controlled system, will be provided and an adaptive output feedback control system design scheme with a PFC will be proposed.
π SIMILAR VOLUMES
Discrete-time neural network output feed
β
J. Vance; S. Jagannathan
π
Article
π
2008
π
Elsevier Science
π
English
β 212 KB
Feedback passivity of nonlinear discrete
β
Eva M. Navarro-LΓ³pez; Enric Fossas-Colet
π
Article
π
2004
π
Elsevier Science
π
English
β 239 KB
Correction to βAdaptive NN control for a
β
S.S. Ge; G.Y. Li; T.H. Lee
π
Article
π
2008
π
Elsevier Science
π
English
β 163 KB
Robust adaptive output-feedback control
β
Zhengqiang Zhang; Shengyuan Xu; Yu Guo; Yuming Chu
π
Article
π
2010
π
John Wiley and Sons
π
English
β 208 KB
π 2 views
Adaptive neural control for uncertain st
β
Zhaoxu Yu; Hongbin Du
π
Article
π
2011
π
Elsevier Science
π
English
β 667 KB
Static output feedback and guaranteed co
β
Salim Ibrir
π
Article
π
2008
π
Elsevier Science
π
English
β 232 KB