Coherent strong observers for a class of linear quantum stochastic systems with unknown inputs

Miao，Zibo1; He，Dong1; Kong，He2,3; Wu，Ai Guo1; James，Matthew R.4

2022-12-01

10.1016/j.automatica.2022.110625

AUTOMATICA   影响因子和分区

0005-1098

1873-2836

In this paper, we extend our previous research on design of coherent observers for open quantum systems (as quantum plants) to the case where there exist unknown inputs in the quantum plants. The unknown inputs represent unmodeled dynamics or disturbances which are prevalent in reality in quantum systems. Since no prior knowledge for the unknown inputs is assumed, the quantum version of Luenberger observers or Kalman filters are not adequate in such a scenario. We thus employ linear quantum stochastic systems and an inner model to tackle this problem. In addition, in order to preserve the coherence in the information flow due to quantum mechanics, any measurement of the quantum system is ruled out, which brings in new challenges compared to the classical counterpart. To be more specific, we develop coherent strong observers for open quantum harmonic oscillators with unknown inputs involved, showing a detailed procedure regarding synthesis of coherent strong observers for such systems that accomplish the task of simultaneously estimating system variables together with the unknown inputs, which is also illustrated by a simulation example. The results in this paper enrich our exploration on observer design for quantum systems under various circumstances, and thus pave the way towards more systematic and comprehensive analysis concerning coherent estimation.

Coherent strong observers Linear quantum stochastic systems Unknown inputs

SCI

英语

通讯

National Natural Science Foundation of China[62003113];

Automation & Control Systems ; Engineering

Automation & Control Systems ; Engineering, Electrical & Electronic

WOS:000933449200007

PERGAMON-ELSEVIER SCIENCE LTD

ENGINEERING

2-s2.0-85140136323

Scopus

1.School of Mechanical Engineering and Automation,Harbin Institute of Technology,Shenzhen,518055,China
2.Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems,Department of Mechanical and Energy Engineering,Southern University of Science and Technology,Shenzhen,518055,China
3.Guangdong Provincial Key Laboratory of Human-Augmentation and Rehabilitation Robotics in Universities,Southern University of Science and Technology,Shenzhen,518055,China
4.Research School of Electrical,Energy and Materials Engineering,Australian National University,Canberra,ACT 0200,Australia

Miao，Zibo,He，Dong,Kong，He,et al. Coherent strong observers for a class of linear quantum stochastic systems with unknown inputs[J]. AUTOMATICA,2022,146.

Miao，Zibo,He，Dong,Kong，He,Wu，Ai Guo,&James，Matthew R..(2022).Coherent strong observers for a class of linear quantum stochastic systems with unknown inputs.AUTOMATICA,146.

Miao，Zibo,et al."Coherent strong observers for a class of linear quantum stochastic systems with unknown inputs".AUTOMATICA 146(2022).