Abstract
The chapter provides the relevant language and techniques needed for the use of linear, continuous and discrete time state space models in later chapters. It includes both time and frequency domain modelling tools, some properties of inverse systems and the elements of linear quadratic optimal tracking control.
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© 2016 Springer-Verlag London
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Owens, D.H. (2016). State Space Models. In: Iterative Learning Control. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-6772-3_3
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DOI: https://doi.org/10.1007/978-1-4471-6772-3_3
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Publisher Name: Springer, London
Print ISBN: 978-1-4471-6770-9
Online ISBN: 978-1-4471-6772-3
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