LQ non-Gaussian Control with I/O packet losses

被引：0
作者：
Battilotti, Stefano [1 ]
Cacace, Filippo [2 ]
d'Angelo, Massimiliano [1 ]
Germani, Alfredo [3 ]
Sinopoli, Bruno [4 ]
机构：
[1] Sapienza Univ Roma, Dipartimento Ingn Informat Automat & Gest Antonio, Rome, Italy
[2] Univ Campus Biomed Roma, Rome, Italy
[3] Univ Aquila, Dipartimento Ingn & Sci Informaz & Matemat, Laquila, Italy
[4] Washington Univ, Elect & Syst Engn Dept, St Louis, MO USA
来源：
2020 AMERICAN CONTROL CONFERENCE (ACC) | 2020年
关键词：
KALMAN; SYSTEMS; ALGORITHMS; REGULATOR; NETWORKS; FILTERS;
D O I：
10.23919/acc45564.2020.9147371
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：2802 / 2807
页数：6
相关论文
共 34 条
  • [1] Discrete-time nonlinear filtering algorithms using Gauss-Hermite quadrature
    Arasaratnam, Ienkaran
    Haykin, Simon
    Elliott, Robert J.
    [J]. PROCEEDINGS OF THE IEEE, 2007, 95 (05) : 953 - 977
  • [2] A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking
    Arulampalam, MS
    Maskell, S
    Gordon, N
    Clapp, T
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) : 174 - 188
  • [3] Battilotti S, 2018, IEEE DECIS CONTR P, P7182, DOI 10.1109/CDC.2018.8619323
  • [4] An Improved Approach to the LQ non-Gaussian Regulator Problem
    Battilotti, S.
    Cacace, F.
    d'Angelo, M.
    Germani, A.
    [J]. IFAC PAPERSONLINE, 2017, 50 (01): : 11808 - 11813
  • [5] Kalman-like filtering with intermittent observations and non-Gaussian noise
    Battilotti, Stefano
    Cacace, Filippo
    d'Angelo, Massimiliano
    Germani, Alfredo
    Sinopoli, Bruno
    [J]. IFAC PAPERSONLINE, 2019, 52 (20): : 61 - 66
  • [6] Stochastic output delay identification of discrete-time Gaussian systems
    Battilotti, Stefano
    d'Angelo, Massimiliano
    [J]. AUTOMATICA, 2019, 109
  • [7] LQ Non-Gaussian Regulator With Markovian Control
    Battilotti, Stefano
    Cacace, Filippo
    d'Angelo, Massimiliano
    Germani, Alfredo
    Sinopoli, Bruno
    [J]. IEEE CONTROL SYSTEMS LETTERS, 2019, 3 (03): : 679 - 684
  • [8] The Polynomial Approach to the LQ Non-Gaussian Regulator Problem Through Output Injection
    Battilotti, Stefano
    Cacace, Filippo
    d'Angelo, Massimiliano
    Germani, Alfredo
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (02) : 538 - 552
  • [9] Distributed Kalman Filtering Over Sensor Networks With Unknown Random Link Failures
    Battilotti, Stefano
    Cacace, Filippo
    d'Angelo, Massimiliano
    Germani, Alfredo
    [J]. IEEE CONTROL SYSTEMS LETTERS, 2018, 2 (04): : 587 - 592
  • [10] Target tracking in glint noise environment using nonlinear non-Gaussian Kalman filter
    Bilik, I.
    Tabrikian, J.
    [J]. 2006 IEEE RADAR CONFERENCE, VOLS 1 AND 2, 2006, : 282 - +
1234