Abstract | ||
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The paper concerns the Linear Quadratic nonGaussian (LQnG) sub-optimal control problem when the input and output signals travel through an unreliable network, namely Gilbert-Elliot channels. In particular, the input/output packet losses are modeled by Bernoulli sequences, and we assume that the moments of the non-Gaussian noises up to the fourth order are known. By mean of a suitable rewriting of the system through an intermittent output injection term, and by considering an augmented system with the second-order Kronecker power of the measurements, a simple solution is provided by substituting the Kalman predictor with intermittent observations of the LQG control law with a quadratic optimal predictor. Numerical simulations show the effectiveness of the proposed method. |
Year | DOI | Venue |
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2020 | 10.23919/ACC45564.2020.9147371 | 2020 AMERICAN CONTROL CONFERENCE (ACC) |
DocType | ISSN | Citations |
Conference | 0743-1619 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Stefano Battilotti | 1 | 136 | 42.34 |
F. Cacace | 2 | 443 | 106.96 |
Massimiliano D'Angelo | 3 | 0 | 0.34 |
A. Germani | 4 | 401 | 52.47 |
Bruno Sinopoli | 5 | 2837 | 188.08 |