gospel
发表于 2025-3-25 03:40:23
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导师
发表于 2025-3-25 09:42:21
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肿块
发表于 2025-3-25 15:37:28
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Inordinate
发表于 2025-3-25 17:38:15
Distributed ,,-Consensus Filtering in Sensor Networks,onsensus performance constraint is guaranteed. Then, the filter parameters are explicitly parameterized by means of the solutions to a certain set of DLMIs that can be computed recursively. Subsequently, two kinds of robust distributed ..−consensus filters are designed for the systems with norm-bounded uncertainties and polytopic uncertainties.
强制令
发表于 2025-3-25 21:36:37
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institute
发表于 2025-3-26 01:15:23
Book 2013ude: missing measurements; sensor delays and saturation; quantization effects; and signal sampling. .Divided into three parts, the text begins with a focus on H∞ filtering and control problems associated with general classes of nonlinear stochastic discrete-time systems. Filtering problems are consi
让你明白
发表于 2025-3-26 06:42:41
Quantized ,, Control for Time-Delay Systems with Missing Measurements,constraint for all nonzero exogenous disturbances under zero initial condition. Then, we specialize the sufficient condition to some special cases with the hope that the simplified inequalities can be numerically checked more easily.
AMEND
发表于 2025-3-26 10:23:53
Sampled-Data Approach to Distributed ,, Filtering in Sensor Networks,formance and the exponential mean-square stability of the resulting filtering error dynamics. Subsequently, the desired sampled-data-based distributed .. filters are designed in terms of the solution to certain matrix inequalities.
BOOST
发表于 2025-3-26 14:57:58
research problems with simulation examples given in each chaNonlinear Stochastic Processes addresses the frequently-encountered problem of incomplete information. The causes of this problem considered here include: missing measurements; sensor delays and saturation; quantization effects; and signal
阻塞
发表于 2025-3-26 19:41:29
Introduction,oduced. The incomplete information under consideration mainly includes missing measurements, randomly varying sensor delays, signal quantization, sensor saturations, and signal sampling. With such incomplete information, the developments on various filtering and control issues are reviewed in great