Vetenskap & teknik
Pocket
Predictive Control of Nonlinear System Based on Neural Networks
Jiamei Deng
1229:-
Uppskattad leveranstid 7-11 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
Model predictive control (MPC) is an important industrial control technique. Most conventional MPC schemes use linear models. However, the use of linear models can result in a serious deterioration of control performance with many types of nonlinear plants. Feedback linearisation is an important nonlinear control technique which can transform a nonlinear system into a linear system. Dynamic neural networks have the ability to approximate multi-input multi-output general nonlinear systems and have the differential equation structure. This book presents a hybrid control strategy integrating dynamic neural networks and feedback linearisation into a predictive control scheme. This book can be used as a course textbook, a source for practising control engineers with an interest in nonlinear control techniques and also a reference material for academic researchers in nonlinear control theory.
- Format: Pocket/Paperback
- ISBN: 9783844300093
- Språk: Engelska
- Antal sidor: 200
- Utgivningsdatum: 2011-02-14
- Förlag: LAP Lambert Academic Publishing