Identification of Nonlinear Systems Using Neural Networks and Polynomial Models A Block-Oriented Approach /

• Main Author: Janczak, Andrzej (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Series: Lecture Notes in Control and Information Science, 310
• Subjects: Engineering.; System theory.; Statistical physics.; Dynamical systems.; Vibration.; Dynamics.; Control engineering.; Robotics.; Mechatronics.; Control, Robotics, Mechatronics.; Vibration, Dynamical Systems, Control.; Systems Theory, Control.; Statistical Physics, Dynamical Systems and Complexity.
• Physical Description: XIV, 199 p. online resource.
• ISBN: 9783540315964
• ISSN: 0170-8643 ;

This monograph systematically presents the existing identification methods of nonlinear systems using the block-oriented approach It surveys various known approaches to the identification of Wiener and Hammerstein systems which are applicable to both neural network and polynomial models. The book gives a comparative study of their gradient approximation accuracy, computational complexity, and convergence rates and furthermore presents some new and original methods concerning the model parameter adjusting with gradient-based techniques. "Identification of Nonlinear Systems Using Neural Networks and Polynomal Models" is useful for researchers, engineers and graduate students in nonlinear systems and neural network theory.