Titlebook: Digital Controller Implementation and Fragility; A Modern Perspective Robert S. H. Istepanian,James F. Whidborne Book 2001 Springer-Verlag

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Book 2001e, since clearly, the plant uncertainty is the most significant source of uncertainty in the control system, while controllers are implemented with high-precision hardware. However, inevitably, there will be some amount of uncertainty in the controller, a fact that is largely ignored in existing mod

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https://doi.org/10.1007/978-3-531-18697-9s this finite-precision issue by proposing a convex formulation of the robust diagonal stability problem. This approach guarantees robust stability for a wide class of quantised systems, with direct application to the design of robust digital filters.

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Realizing the Complexity of Data Protection a set of matrix inequalities. The resulting design is such that the closed-loop system is robustly stable and has an ℌ. cost bound against plant uncertainty and controller gain variations. Iterative linear matrix inequalities (LMI) based algorithms are developed. Numerical examples are given to illustrate the design methods.

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Dorota Głowacka,Beata Koniecznaer that behaves as close as possible to its predicted performance in such a finite precision environment. Some classical results are revisited and procedures for the simultaneous design of the controller transfer function and its optimal realisation with respect to roundoff noise are investigated.

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