Advances in Neural Networks - ISNN 2006, 2006, p.842-848
2006
Details
- Autor(en) / Beteiligte
- Titel
- Adaptive Neural Network Control for Switched System with Unknown Nonlinear Part by Using Backstepping Approach: SISO Case
- Ist Teil von
- Advances in Neural Networks - ISNN 2006, 2006, p.842-848
- Ort / Verlag
- Berlin, Heidelberg: Springer Berlin Heidelberg
- Erscheinungsjahr
- 2006
- Link zum Volltext
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- In this paper, we address, in a backstepping way, stabilization problem for a class of switched nonlinear systems whose subsystem with trigonal structure by using neural network. An adaptive neural network switching control design is given. Backsteppping, domination and adaptive bounding design technique are combined to construct adaptive neural network stabilizer and switching law. Based on common Lyapunov function approach, the stabilization of the resulting closed-loop systems is proved.
- Sprache
- Englisch
- Identifikatoren
- ISBN: 9783540344377, 3540344373, 354034439X, 9783540344391ISSN: 0302-9743eISSN: 1611-3349DOI: 10.1007/11760023_125Titel-ID: cdi_pascalfrancis_primary_19952907
- Format
- –
- Schlagworte
- Adaptive Neural Network, Adaptive Neural Network Control, Adaptive Neural Network Controller, Applied sciences, Artificial intelligence, Backstepping Approach, Computer science, control theory, systems, Connectionism. Neural networks, Exact sciences and technology, Trigonal Structure