Copertina

Fast State Stabilization using Deep Reinforcement Learning for Measurement-based Quantum Feedback Control

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Song, Chunxiang, Liu, Yanan, Dong, Daoyi, Yonezawa, Hidehiro
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Systems and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Learning-Based Design of LQG Controllers in Quantum Coherent Feedback
di: Song, Chunxiang, et al.
Pubblicazione: (2025)

A two-stage solution to quantum process tomography: error analysis and optimal design
di: Xiao, Shuixin, et al.
Pubblicazione: (2024)

Subspace Stabilization Analysis for Non-Markovian Open Quantum Systems
di: Zhang, Shikun, et al.
Pubblicazione: (2019)

Tomography of Quantum States from Structured Measurements via quantum-aware transformer
di: Ma, Hailan, et al.
Pubblicazione: (2023)

Quantum-Embedded Dynamic Security Control using Hybrid Deep Reinforcement Learning
di: Masoumi, Amin, et al.
Pubblicazione: (2025)

Deep-Reinforcement-Learning-Based Adaptive State-Feedback Control for Inter-Area Oscillation Damping with Continuous Eigenvalue Configurations
di: Liang, Siyuan, et al.
Pubblicazione: (2023)

Simple controller design to achieve iso-damping robustness: Non-iterative data-driven approach based on fractional-order reference model
di: Yonezawa, Ansei, et al.
Pubblicazione: (2024)

Residual Deep Reinforcement Learning for Inverter-based Volt-Var Control
di: Liu, Qiong, et al.
Pubblicazione: (2024)

Simple inverse kinematics computation considering joint motion efficiency
di: Yonezawa, Ansei, et al.
Pubblicazione: (2024)

Adaptive Model-Based Reinforcement Learning for Orbit Feedback Control in NSLS-II Storage Ring
di: Dong, Zeyu, et al.
Pubblicazione: (2026)

Deep Reinforcement Learning-based Quadcopter Controller: A Practical Approach and Experiments
di: Do, Truong-Dong, et al.
Pubblicazione: (2024)

Integrated Energy Management for Operational Cost Optimization in Community Microgrids
di: Uddin, Moslem, et al.
Pubblicazione: (2025)

A review on modelling, evaluation, and optimization of cyber-physical system reliability
di: Uddin, Moslem, et al.
Pubblicazione: (2025)

Real-Time Energy Management Strategies for Community Microgrids
di: Uddin, Moslem, et al.
Pubblicazione: (2025)

Cost-Effective Design of Grid-tied Community Microgrid
di: Uddin, Moslem, et al.
Pubblicazione: (2025)

Arbitrary State Transition of Open Qubit System Based on Switching Control
di: Wu, Guangpu, et al.
Pubblicazione: (2024)

Sparse Identification of Nonlinear Dynamics Enhanced by Ensemble Learning, Multi-Step Prediction Evaluation, Elite Strategy, and Classification Techniques for Applications to Industrial Systems
di: Yahagi, Shuichi, et al.
Pubblicazione: (2025)

Dynamic State-Feedback Control for LPV Systems: Ensuring Stability and LQR Performance
di: Gießler, Armin, et al.
Pubblicazione: (2025)

Finite-time stabilization of ladder multi-level quantum systems
di: Su, Zeping, et al.
Pubblicazione: (2025)

DVS-RG: Differential Variable Speed Limits Control using Deep Reinforcement Learning with Graph State Representation
di: Yang, Jingwen, et al.
Pubblicazione: (2024)

Feedforward-Feedback Integration in Flight Control: Reinforcement Learning with Sliding Mode Control
di: Sayyed, Imran, et al.
Pubblicazione: (2026)

Model-based controller assisted domain randomization for transient vibration suppression of nonlinear powertrain system with parametric uncertainty
di: Yonezawa, Heisei, et al.
Pubblicazione: (2025)

State Feedback Control of State-Delayed LPV Systems using Dynamic IQCs
di: Wu, Fen
Pubblicazione: (2026)

Output-Feedback Stabilizing Policy Iteration for Convergence Assurance of Unknown Discrete-Time Systems with Unmeasurable States
di: Li, Dongdong, et al.
Pubblicazione: (2025)

Comparative Study of Q-Learning for State-Feedback LQG Control with an Unknown Model
di: Liu, Mingxiang, et al.
Pubblicazione: (2025)

Physics-informed Modularized Neural Network for Advanced Building Control by Deep Reinforcement Learning
di: Jiang, Zixin, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning based Control Design for Aircraft Recovery from Loss-of-Control Scenario
di: Sayyed, Imran, et al.
Pubblicazione: (2026)

Fast Stochastic MPC using Affine Disturbance Feedback Gains Learned Offline
di: Lee, Hotae, et al.
Pubblicazione: (2024)

A Holistic Power Optimization Approach for Microgrid Control Based on Deep Reinforcement Learning
di: Yao, Fulong, et al.
Pubblicazione: (2024)

Adaptive BESS and Grid Setpoints Optimization: A Model-Free Framework for Efficient Battery Management under Dynamic Tariff Pricing
di: Selim, Alaa, et al.
Pubblicazione: (2024)

Reinforcement Learning for Distributed Transient Frequency Control with Stability and Safety Guarantees
di: Yuan, Zhenyi, et al.
Pubblicazione: (2022)

Generalized bilinear Koopman realization from input-output data for multi-step prediction with metaheuristic optimization of lifting function and its application to real-world industrial system
di: Yahagi, Shuichi, et al.
Pubblicazione: (2026)

Fractional-order controller tuning via minimization of integral of time-weighted absolute error without multiple closed-loop tests
di: Yonezawa, Ansei, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning for Optimizing Inverter Control: Fixed and Adaptive Gain Tuning Strategies for Power System Stability
di: Das, Shuvangkar Chandra, et al.
Pubblicazione: (2024)

State Feedback Controllers with Operational Constraints
di: Lavretsky, Eugene
Pubblicazione: (2025)

Optimizing Traffic Signal Control using High-Dimensional State Representation and Efficient Deep Reinforcement Learning
di: Francis, Lawrence, et al.
Pubblicazione: (2024)

A Mathematical Model of Hybrid Microgrid With Pole Placement Controller Using State Feedback For Stability Improvement
di: Tripathy, Yangyadatta, et al.
Pubblicazione: (2025)

Dynamical State Feedback Control for Linear Input Delay Systems, Part I: Dissipative Stabilization via Semidefinite Programming
di: Feng, Qian, et al.
Pubblicazione: (2023)

Stochastic Reinforcement Learning with Stability Guarantees for Control of Unknown Nonlinear Systems
di: Quartz, Thanin, et al.
Pubblicazione: (2024)

Dynamics-Invariant Quadrotor Control using Scale-Aware Deep Reinforcement Learning
di: Vaidya, Varad, et al.
Pubblicazione: (2025)