Abstract
Basic numerical methods for the analysis and design of dynamical systems are at the heart of most techniques in systems and control theory that are used to describe, control, or optimize industrial and economical processes. There are many methods available for all the different tasks in systems and control, but even though most of these methods are based on sound theoretical principles, many of them still fail when applied to real-life problems. The reasons for this may be quite diverse, such as the fact that the system dimensions are very large, that the underlying problem is very sensitive to small changes in the data, or that the method lacks numerical robustness when implemented in a finite precision environment.
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Mehrmann, V., Dooren, P.V. (2013). Basic Numerical Methods and Software for Computer-aided Control Systems Design. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_143-1
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DOI: https://doi.org/10.1007/978-1-4471-5102-9_143-1
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