Nonlinear system identification using additive dynamic neural networks-two on-line approaches
نویسندگان
چکیده
منابع مشابه
Nonlinear System Identification Using Additive Dynamic Neural Networks—Two On-Line Approaches
This paper proposes a class of additive dynamic connectionist (ADC) models for identification of unknown dynamic systems. These models work in continuous time and are linear in their parameters. Also, for this kind of model two on-line learning or parameter adaptation algorithms are developed: one based on gradient techniques and sensitivity analysis of the model output trajectories versus the ...
متن کاملDynamic Sliding Mode Control of Nonlinear Systems Using Neural Networks
Dynamic sliding mode control (DSMC) of nonlinear systems using neural networks is proposed. In DSMC the chattering is removed due to the integrator which is placed before the input control signal of the plant. However, in DSMC the augmented system is one dimension bigger than the actual system i.e. the states number of augmented system is more than the actual system and then to control of such ...
متن کاملNonlinear System Identification Using Spatiotemporal Neural Networks
The so-called spatiotemporal neural network is considered. This is a neural network where the conventional weight multiplication operation is replaced by a linear filtering operation [l]. A training algorithm is derived for such networks. The problem of nonlinear system identification is considered as an application for spatiotemporal networks. Nonlinear system identification is one of the chal...
متن کاملOn-line System Identification Using Chebyshev Neural Networks
Abslract-This paper proposes a computationally efficient artificial neural network (ANN) model for system identification of unknown dynamic nonlinear continuous and discrete time systems. A single layer functional link ANN is used for the model where the need of hidden layer is eliminated by expanding the input pattern by Chebyshev •polynomials. These models are linear in their parameters. The ...
متن کاملNeural networks for nonlinear dynamic system modelling and identification
International Journal of Control Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713393989 Neural networks for nonlinear dynamic system modelling and identification S. Chen a; S. A. Billings b a Department of Electrical Engineering, University of Edinburgh, Edinburgh, EH9 3JL, U.K. b Department of Automatic Co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications
سال: 2000
ISSN: 1057-7122
DOI: 10.1109/81.828569