Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date. Enables the reader to use a wide variety of nonlinear system identification techniques. Offers a thorough treatment of the underlying theory. Provides a MATLAB toolbox containing implementation of the latest identification methods together with an extensive set of problems using realistic data sets.