Signal Processing for Control 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 15–20 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.