二能级开放非马尔可夫随机量子系统的非线性最优反馈控制

IF 1.3 4区 物理与天体物理 Q3 PHYSICS, MATHEMATICAL Open Systems & Information Dynamics Pub Date : 2021-09-01 DOI:10.1142/s123016122150013x
S. Qamar, S. Cong, Kezhi Li, Zhixiang Dong, F. Shuang
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引用次数: 0

摘要

提出了一种基于非线性状态估计的两能级开放非马尔可夫随机量子系统非线性最优反馈控制方法。利用状态相关的微分Riccati方程设计了非线性状态估计器,并构造了最优状态估计器。利用被控量子系统连续弱测量的输出数据更新估计状态,并设计非线性状态反馈控制器跟踪参考模型的输出。选择参考模型的输出状态作为期望的性能。数值仿真结果验证了所提出的状态反馈控制策略的可实现性,并且能够以较高的状态转移成功率将系统状态从任意初始状态引导到最终参考目标状态。
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Nonlinear Optimal Feedback Control of the Two-Level Open Non-Markovian Stochastic Quantum System
In this paper, a nonlinear optimal feedback control based on the nonlinear state estimator for a two-level open non-Markovian stochastic quantum system is proposed. The proposed nonlinear state estimator is designed by using the state-dependent differential Riccati equation and constructed to optimally estimate the state. The estimated state is updated by the output data of continuous weak measurement of the controlled quantum system and used to design the nonlinear state feedback controller to track the output of the reference model. The output state of reference model is chosen as the desired performance. The numerical simulation results verify the achievability of the proposed state feedback control strategy, and the capability to steer the state of system from any arbitrary initial state to the final reference target state with high state transfer success rate.
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来源期刊
Open Systems & Information Dynamics
Open Systems & Information Dynamics 工程技术-计算机:信息系统
CiteScore
1.40
自引率
12.50%
发文量
4
审稿时长
>12 weeks
期刊介绍: The aim of the Journal is to promote interdisciplinary research in mathematics, physics, engineering and life sciences centered around the issues of broadly understood information processing, storage and transmission, in both quantum and classical settings. Our special interest lies in the information-theoretic approach to phenomena dealing with dynamics and thermodynamics, control, communication, filtering, memory and cooperative behaviour, etc., in open complex systems.
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