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Suggestions for further reading
For a condensed, but clear development of matrix concepts applied to linear system theory, see Chapter 2 of the book: 'stochastic Optimal Linear Estimation and Control’ by J.S. Meditch, McGraw-Hill, 1969.
For a fundamental text on matrix concepts applied to functions of several variables,: ‘Calculus of Several Variables’ by Serge Lang, Addison Wesley, 1973.
For a very condensed but authoritative development of matrix theory relevant to stochastic modelling: "Dynamic Stochastic Models from Empirical Data" by R.L. Kashyap and A.R. Rao, Academic Press, 1976.
For a useful self-instruction text on state-space concepts and techniques, 'schaum's Outline on State Space and Linear Systems', by D.M. Wiberg, McGraw-Hill.
For a fundamental mathematical text on matrix theory, ‘Theory of Matrices', by P. Lancaster, Academic Press, 1969.
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© 1986 Springer-Verlag
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Hughes, M.T.G. (1986). Matrix techniques. In: Godfrey, K., Jones, P. (eds) Signal Processing for Control. Lecture Notes in Control and Information Sciences, vol 79. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0008185
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DOI: https://doi.org/10.1007/BFb0008185
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