**Description: **This book not only provides a comprehensive introduction to
neural-based PCA methods in control science, but also presents many
novel PCA algorithms and their extensions and generalizations,
e.g., dual purpose, coupled PCA, GED, neural based SVD algorithms,
etc. It also discusses in detail various analysis methods for the
convergence, stabilizing, self-stabilizing property of algorithms,
and introduces the deterministic discrete-time systems method to
analyze the convergence of PCA/MCA algorithms. Readers should be
familiar with numerical analysis and the fundamentals of
statistics, such as the basics of least squares and stochastic
algorithms....

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