Comparison of Riemann and Lebesque sampling for first order stochastic systems
Citations
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Cites background from "Comparison of Riemann and Lebesque ..."
...[13] Karl Johan Åström and Bo Bernhardsson....
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...[121]) y muestreo de Lebesgue (Åström and Bernhardsson [13])....
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...En este nuevo contexto de los sistemas de control, las técnicas de control basadas en eventos (Event-Based Control EBC) pueden resolver multitud de problemas en sistemas de control en red (NCS) (Åström and Bernhardsson [13], Åström [12])....
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6 citations
Cites background from "Comparison of Riemann and Lebesque ..."
...6: System evolution and event intervals when w = 2sin(πt ), t ∈ [3,8]: state evaluation and perturbance, event intervals with the bounds....
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...There are many results already available studying ETC, see [8], [31], [32], [48], [70], [72], [95], [110], [111], and references therein....
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...In [8], Åström and Bernhardsson present the comparison between periodical sampling (Riemann sampling) and event-based sampling (Lebesgue sampling)....
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5 citations
Cites methods from "Comparison of Riemann and Lebesque ..."
...For dealing with abrupt changes in the output signal due to perturbations, the integral of the innovation signal can be used for event generation [4], this technique is named « integral sampling »....
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...To deal with random and unknown network-induced delay, [4] formulates the design of observer based robust fault detection filters for NCS as an H∞ filtering problem by introducing a new optimization performance index, and [5] proposes a parity space fault detection system robust to the random delay....
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...Compared with the approaches in [4] and [5], the new approach is not restricted to the condition that the delay has to be less than one sampling period....
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References
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"Comparison of Riemann and Lebesque ..." refers background or methods in this paper
...The traditional way to design digital control systems is to sample the signals equidistant in time, see Åström and Wittenmark (1997). A nice feature of this approach is that analysis and design becomes very simple....
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...The output variance is then minimized by the minimum variance controller, see Åström (1970). The sampled system becomes x(t+ h) = x(t) + u(t) + e(t)...
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