论文信息 - Identification and supervision of the lateral vehicle motion based on neural networks with distributed dynamics

Identification and supervision of the lateral vehicle motion based on neural networks with distributed dynamics

This paper describes a technique for identifying and supervising lateral vehicle motion. Two different neural network structures working with nonlinear identification and distributed dynamics, are used in the process. A fault monitoring system that consists of the neural networks is presented. It was found to be successful in a test using real measurements from a vehicle under lateral motion supervision.

Mihiar Ayoubi | Michael Würtenberger

[1] Ken-ichi Funahashi,et al. On the approximate realization of continuous mappings by neural networks , 1989, Neural Networks.

[2] Madan M. Gupta,et al. Neuro-controller with dynamic learning and adaptation , 1993, J. Intell. Robotic Syst..

[3] R. Isermann. Integration of Fault Detection and Diagnosis Methods , 1994 .

[4] Peter J. Gawthrop,et al. Neural networks for control systems - A survey , 1992, Autom..

[5] M. Ayoubi. Nonlinear dynamic systems identification with dynamic neural networks for fault diagnosis in technical processes , 1994, Proceedings of IEEE International Conference on Systems, Man and Cybernetics.

[6] Stephen A. Billings,et al. Non-linear system identification using neural networks , 1990 .

[7] Tomaso A. Poggio,et al. Extensions of a Theory of Networks for Approximation and Learning , 1990, NIPS.

[8] R. Isermann,et al. Model based supervision of lateral vehicle dynamics , 1994, Proceedings of 1994 American Control Conference - ACC '94.

[9] Duc Truong Pham,et al. Adaptive control of dynamic systems using neural networks , 1993, Proceedings of IEEE Systems Man and Cybernetics Conference - SMC.

[10] M. Thoma,et al. Neurocontrol: Learning Control Systems Inspired by Neuronal Architectures and Human Problem Solving Strategies , 1992 .