Minimum Variance Control Over a Gaussian Communication Channel

被引:49
|
作者
Freudenberg, James S. [1 ]
Middleton, Richard H. [2 ]
Braslavsky, Julio H. [3 ]
机构
[1] Univ Michigan, Dept Elect Engn & Comp Sci, Ann Arbor, MI 48109 USA
[2] Natl Univ Ireland, Hamilton Inst, Maynooth, Kildare, Ireland
[3] Univ Newcastle, Ctr Complex Dynam Syst & Control, Callaghan, NSW 2308, Australia
关键词
Communication channels; control systems; feedback communication; information rates; linear-quadratic-Gaussian control; signal-to-noise ratio (SNR); STOCHASTIC-SYSTEMS; FEEDBACK-CONTROL; LINEAR-SYSTEMS; STABILIZABILITY; RECOVERY; BODE;
D O I
10.1109/TAC.2010.2097831
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We consider the problem of minimizing the response of a plant output to a stochastic disturbance using a control law that relies on the output of a noisy communication channel. We discuss a lower bound on the performance achievable at a specified terminal time using nonlinear time-varying communication and control strategies and show that this bound may be achieved using strategies that are linear. We also consider strategies that are defined over an infinite horizon that may achieve better transient response that those that are optimal for the terminal time problem.
引用
收藏
页码:1751 / 1765
页数:15
相关论文
共 50 条
  • [41] Control Over Gaussian Channels With and Without Source-Channel Separation
    Khina, Anatoly
    Garding, Elias Riedel
    Pettersson, Gustav M.
    Kostina, Victoria
    Hassibi, Babak
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2019, 64 (09) : 3690 - 3705
  • [42] Minimum entropy control of nonlinear ARMA systems over a communication network
    Jianhua Zhang
    Hong Wang
    Neural Computing and Applications, 2008, 17 : 385 - 390
  • [43] Minimum entropy control of nonlinear ARMA systems over a communication network
    Zhang, Jianhua
    Wang, Hong
    NEURAL COMPUTING & APPLICATIONS, 2008, 17 (04): : 385 - 390
  • [44] EFFECTIVENESS OF DISCRETE CONTROL OF ENCODER OF A GAUSSIAN COMMUNICATION CHANNEL SUBJECT TO RAYLEIGH FADING
    KONEV, VV
    TARASENK.FP
    TELECOMMUNICATIONS AND RADIO ENGINEER-USSR, 1970, (09): : 77 - &
  • [45] Joint Communication and State Estimation Over a State-Dependent Fading Gaussian Channel
    Ramachandran, Viswanathan
    IEEE WIRELESS COMMUNICATIONS LETTERS, 2022, 11 (02) : 367 - 370
  • [46] Recursive identification of parameters in the minimum variance control
    Yao, Jie
    Wang, Jiang-Hong
    PROCEEDINGS OF THE 10TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA 2012), 2012, : 2870 - 2877
  • [47] Parametric Robust Generalized Minimum Variance Control
    Cunha, Leiliane Borges
    Silveira, Antonio da Silva
    Barra Jr, Walter
    IEEE ACCESS, 2022, 10 : 75884 - 75897
  • [48] GENERALIZED MINIMUM VARIANCE CONTROL LAW REVISITED
    GRIMBLE, MJ
    OPTIMAL CONTROL APPLICATIONS & METHODS, 1988, 9 (01): : 63 - 77
  • [49] ADAPTIVE MINIMUM VARIANCE CONTROL OF EXTREMAL PLANTS
    KAMINSKAS, VA
    TALLATKELPSA, CK
    SIDLAUSKAS, KA
    AUTOMATION AND REMOTE CONTROL, 1987, 48 (09) : 1188 - 1195
  • [50] Minimum variance prediction and control for adaptive optics
    Kulcsar, Caroline
    Raynaud, Henri-Francois
    Petit, Cyril
    Conan, Jean-Marc
    AUTOMATICA, 2012, 48 (09) : 1939 - 1954