Average Reviews:
(More customer reviews)The book covers all the fundamental practices of nonlinear system identification. Less emphasis is made on theory and proofs and much more on actual implementation aspects. Thus this book can be very informative and useful for those that want to have a sharp overview and do not want to figure out the mathematical details by themselves. Lots of examples help to quickly understand the concepts. After reading the book you will much easily understand recent publications in this field.
Click Here to see more reviews about: Nonlinear System Identification: Input-Output Modeling Approach, Vol. 2: Nonlinear System Structure Identification
This is the second part of a two-volume handbook presenting a comprehensive overview of nonlinear dynamic system identification. The books include many aspects of nonlinear processes: modelling, parameter estimation, structure search, nonlinearity and model validity tests. The book includes not only nonparametric models but also parametric models which include a limited number of parameters. Time domain parameter estimation is dealt with in detail; frequency domain and power spectrum procedures are also included. This work is intended for postgraduate students, researchers and engineers whose work involves nonlinear systems. Many examples, case studies and experimental identifications of real processes have been included.
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