Signal Processing for Control [Paperback]

Signal analysis I.- Systems analysis I.- Matrix techniques.- Relevant probability theory.- Relevant statistical theory.- Systems analysis II.- Signal analysis II.- Design and implementation of digital filters.- Parameter estimation.- Recursive methods in identification.- Spectral analysis and applications.- Observers, state estimation and prediction.- SERC vacation school signal processing for control university of Warwick 1520 September 1985.- An introduction to discrete-time self-tuning control.- Exploring biological signals.- Stochastic methods and engineering surfaces.- Practical problems in identification.- Lqg design of ship steering control systems.Springer Book Archives