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Titlebook: Randomized Algorithms for Analysis and Control of Uncertain Systems; With Applications Roberto Tempo,Giuseppe Calafiore,Fabrizio Dabbene Bo

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Randomized Algorithms in Systems and Control, an appropriate sample size and the construction of efficient algorithms for random sampling the uncertainty. The chapter ends with a discussion of the computational complexity of randomized algorithms.
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Limits of the Robustness Paradigm,d design. In particular, it introduces the notions of complexity, decidability, conservatism and discontinuity problems, with specific emphasis on NP-hard problems arising in the context of control systems, illustrated by several examples.
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Probabilistic Methods for Uncertain Systems, the good and the bad sets, and the probabilistic degradation function. As pointed out in Chap. ., many pessimistic results on the complexity-theoretic barriers of classical robust control have stimulated research in the direction of finding alternative approaches. One of these approaches, which con
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