Tài liệu Kalman Filtering and Neural Networks P4 doc

... increment, the deviation in 83 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon ... D.A. Rand and L.S. Young, Eds. Dynamical Systems and Turbulence, Warwick 1980, Lecture Notes in Mathematics Vol. 898. 1981, p. 230. Berlin: Springer-Verlag. [6] A.M. Fra...

Ngày tải lên: 14/12/2013, 13:15

... representation of these five neural network applications and how they potentially interact with one another. We observe that the neural network controllers for engine idle speed and air=fuel (A=F) ratio ... squared error signals. We have used recurrent neural networks, trained by on-line EKF methods, to develop effective idle speed control strategies, and have documented this work...

Ngày tải lên: 14/12/2013, 13:15

... cluttered with back- 69 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon ... types and connections’’, in M.A. Arbib, Ed., Handbook of Brain Theory and Neural Networks, Cambridge, MA: MIT Press, 1995. [3] J.M. Hupe ´ , A.C. James, B.R. Payne, S.G. Lo...

Ngày tải lên: 14/12/2013, 13:15

... of Kalman filters to pave the way for their application in subsequent chapters of the book. We have chosen to follow the original paper by Kalman [1] for the 1 Kalman Filtering and Neural Networks, ... & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon Haykin Copyright # 2001 John Wiley & Sons, Inc. ISBNs: 0-471-36998-5 (Hardback); 0-471-22154-6 (E...

Ngày tải lên: 13/12/2013, 13:15

... Atlas, ‘‘Recurrent neural networks and robust time series prediction,’’ IEEE Transactions on Neural Networks, 5(2), 240–254 (1994). [15] S.C. Stubberud and M. Owen, ‘‘Artificial neural network feedback ... and L.A. Feldkamp, ‘ Neural control of nonlinear dynamic systems with Kalman filter trained recurrent networks, ’’ IEEE Transactions on Neural Networks, 5 (1994). [32] E...

Ngày tải lên: 14/12/2013, 13:15

... the dual extended Kalman filter (discussed in Chapter 5). Indeed, we have two Kalman filters – one extended and one ordinary – running in parallel, estimating the hidden states and parameters, respectively. We ... statistics – form the basis of modern techniques in state estimation and model learning. The Kalman filter, introduced by Kalman and Bucy in 1961 [1], was developed in...

Ngày tải lên: 14/12/2013, 13:15

... state distribution is 221 Kalman Filtering and Neural Networks, Edited by Simon Haykin ISBN 0-471-36998-5 # 2001 John Wiley & Sons, Inc. Kalman Filtering and Neural Networks, Edited by Simon ... separately by Ito and Xiong [12] and Nørgaard, Poulsen, and Ravn [13]. In [7] van der Merwe and Wan show how the UKF and CDF can be unified in a general family of deriva...

Ngày tải lên: 14/12/2013, 13:15