By Professor Daoyi Dong

Books

Dong D; Petersen IR, 2023, Learning and Robust Control in Quantum Technology, Springer Nature, http://dx.doi.org/10.1007/978-3-031-20245-2

Book Chapters

Dong D; Petersen IR, 2023, 'Sampling-Based Learning Control of Quantum Systems with Uncertainties', in Learning and Robust Control in Quantum Technology, Springer Nature, pp. 65 - 92, http://dx.doi.org/10.1007/978-3-031-20245-2_4

Dong D; Petersen IR, 2023, 'Concluding Remarks', in Communications and Control Engineering, pp. 247 - 249, http://dx.doi.org/10.1007/978-3-031-20245-2_9

Dong D; Petersen IR, 2023, 'Control and Classification of Inhomogeneous Quantum Ensembles', in Communications and Control Engineering, pp. 35 - 64, http://dx.doi.org/10.1007/978-3-031-20245-2_3

Dong D; Petersen IR, 2023, 'H^∞ Control and Fault-Tolerant Control of Quantum Systems', in Communications and Control Engineering, pp. 219 - 246, http://dx.doi.org/10.1007/978-3-031-20245-2_8

Dong D; Petersen IR, 2023, 'Introduction', in Learning and Robust Control in Quantum Technology, Springer Nature, pp. 1 - 6, http://dx.doi.org/10.1007/978-3-031-20245-2_1

Dong D; Petersen IR, 2023, 'Introduction to Quantum Mechanics and Quantum Control', in Communications and Control Engineering, pp. 7 - 33, http://dx.doi.org/10.1007/978-3-031-20245-2_2

Dong D; Petersen IR, 2023, 'Machine Learning for Quantum Control', in Communications and Control Engineering, pp. 93 - 140, http://dx.doi.org/10.1007/978-3-031-20245-2_5

Dong D; Petersen IR, 2023, 'Robust Stability and Performance Analysis of Quantum Systems', in Communications and Control Engineering, pp. 177 - 218, http://dx.doi.org/10.1007/978-3-031-20245-2_7

Dong D; Petersen IR, 2023, 'Sliding Mode Control of Quantum Systems', in Communications and Control Engineering, pp. 141 - 175, http://dx.doi.org/10.1007/978-3-031-20245-2_6

Dong D, 2021, 'Learning Control of Quantum Systems', in Encyclopedia of Systems and Control, Springer International Publishing, pp. 1090 - 1096, http://dx.doi.org/10.1007/978-3-030-44184-5_100161

Dong D, 2020, 'Learning Control of Quantum Systems', in Encyclopedia of Systems and Control, Springer London, pp. 1 - 7, http://dx.doi.org/10.1007/978-1-4471-5102-9_100161-1

Journal articles

Ma H; Mooney GJ; Petersen IR; Hollenberg LCL; Dong D, 2024, 'Quantum autoencoders using mixed reference states', npj Quantum Information, 10, http://dx.doi.org/10.1038/s41534-024-00872-3

Wang Y; Qi B; Ferrie C; Dong D, 2024, 'Trainability enhancement of parameterized quantum circuits via reduced-domain parameter initialization', Physical Review Applied, 22, http://dx.doi.org/10.1103/physrevapplied.22.054005

Wang Y; Wang X; Qi B; Dong D, 2024, 'Supervised-learning guarantee for quantum AdaBoost', Physical Review Applied, 22, http://dx.doi.org/10.1103/physrevapplied.22.054001

Sanni MT; Pota HR; Dong D; Mo H, 2024, 'Pilot point selection for secondary voltage control in active distribution networks with applications to an Australian feeder', Ain Shams Engineering Journal, 15, http://dx.doi.org/10.1016/j.asej.2024.102972

Ma H; Dong D; Petersen IR; Huang CJ; Xiang GY, 2024, 'Neural networks for quantum state tomography with constrained measurements', Quantum Information Processing, 23, http://dx.doi.org/10.1007/s11128-024-04522-7

Xie D; Wang Z; Chen C; Dong D, 2024, 'Depthwise Convolution for Multi-Agent Communication With Enhanced Mean-Field Approximation', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 8557 - 8569, http://dx.doi.org/10.1109/TNNLS.2022.3230701

Liu YH; Zeng Y; Tan QS; Dong D; Nori F; Liao JQ, 2024, 'Optimal control of linear Gaussian quantum systems via quantum learning control', Physical Review A, 109, http://dx.doi.org/10.1103/PhysRevA.109.063508

Tian Y; Lu X; Kuang S; Dong D, 2024, 'Real-time parameter estimation for two-qubit systems based on hybrid control', Physical Review A, 109, http://dx.doi.org/10.1103/PhysRevA.109.062222

Bao L; Qi B; Dong D, 2024, 'Stabilizing preparation of quantum Gaussian states via continuous measurement', Automatica, 164, http://dx.doi.org/10.1016/j.automatica.2024.111622

Ahmad A; Xiao X; Mo H; Dong D, 2024, 'Tuning data preprocessing techniques for improved wind speed prediction', Energy Reports, 11, pp. 287 - 303, http://dx.doi.org/10.1016/j.egyr.2023.11.056

Xiao S; Wang Y; Yu Q; Zhang J; Dong D; Petersen IR, 2024, 'Quantum state tomography from observable time traces in closed quantum systems', Control Theory and Technology, 22, pp. 222 - 234, http://dx.doi.org/10.1007/s11768-024-00215-9

Bao L; Qi B; Nori F; Dong D, 2024, 'Exponential sensitivity revival of noisy non-Hermitian quantum sensing with two-photon drives', Physical Review Research, 6, http://dx.doi.org/10.1103/PhysRevResearch.6.023216

Jiang C; Pan Y; Yang Y; Dong D, 2024, 'Interpolation of positive matrices by quantum-inspired optimal control', IET Control Theory and Applications, 18, pp. 877 - 886, http://dx.doi.org/10.1049/cth2.12625

Wang X; Qi B; Wang Y; Dong D, 2024, 'Entanglement-variational hardware-efficient ansatz for eigensolvers', Physical Review Applied, 21, http://dx.doi.org/10.1103/PhysRevApplied.21.034059

Qin JC; Jiang R; Mo H; Dong D, 2024, 'A data-driven mixed integer programming approach for joint chance-constrained optimal power flow under uncertainty', International Journal of Machine Learning and Cybernetics, http://dx.doi.org/10.1007/s13042-024-02325-x

Liu J; Wang Z; Chen C; Dong D, 2024, 'Efficient Bayesian Policy Reuse With a Scalable Observation Model in Deep Reinforcement Learning', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 14797 - 14809, http://dx.doi.org/10.1109/TNNLS.2023.3281604

Yu H; Zhao X; Dong D; Chen C, 2024, 'Hamiltonian Identification via Quantum Ensemble Classification', IEEE Transactions on Neural Networks and Learning Systems, 35, pp. 11261 - 11275, http://dx.doi.org/10.1109/TNNLS.2023.3258622

Shindi O; Yu Q; Girdhar P; Dong D, 2024, 'Model-Free Quantum Gate Design and Calibration Using Deep Reinforcement Learning', IEEE Transactions on Artificial Intelligence, 5, pp. 346 - 357, http://dx.doi.org/10.1109/TAI.2023.3243187

Cho B; Xiao Y; Hui P; Dong D, 2024, 'Quantum Bandit With Amplitude Amplification Exploration in an Adversarial Environment', IEEE Transactions on Knowledge and Data Engineering, 36, pp. 311 - 317, http://dx.doi.org/10.1109/TKDE.2023.3279207

Wang Z; Chen C; Dong D, 2023, 'A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning', IEEE Transactions on Cybernetics, 53, pp. 7509 - 7520, http://dx.doi.org/10.1109/TCYB.2022.3170485

Wang Z; Chen C; Dong D, 2023, 'Instance Weighted Incremental Evolution Strategies for Reinforcement Learning in Dynamic Environments', IEEE Transactions on Neural Networks and Learning Systems, 34, pp. 9742 - 9756, http://dx.doi.org/10.1109/TNNLS.2022.3160173

Uddin M; Mo H; Dong D; Elsawah S, 2023, 'Techno-economic potential of multi-energy community microgrid: The perspective of Australia', Renewable Energy, 219, http://dx.doi.org/10.1016/j.renene.2023.119544

Xiang C; Petersen IR; Dong D, 2023, 'Coherent robust H^∞ control of uncertain linear quantum systems with direct and indirect couplings', Journal of the Franklin Institute, 360, pp. 13845 - 13869, http://dx.doi.org/10.1016/j.jfranklin.2022.08.022

Ma H; Dong D; Ding SX; Chen C, 2023, 'Curriculum-Based Deep Reinforcement Learning for Quantum Control', IEEE Transactions on Neural Networks and Learning Systems, 34, pp. 8852 - 8865, http://dx.doi.org/10.1109/TNNLS.2022.3153502

Hu S; Ma H; Dong D; Chen C, 2023, 'Two-step robust control design of quantum gates via differential evolution', Journal of the Franklin Institute, 360, pp. 13972 - 13993, http://dx.doi.org/10.1016/j.jfranklin.2022.06.014

Chen Y; Pan Y; Dong D, 2023, 'Residual Tensor Train: A Quantum-Inspired Approach for Learning Multiple Multilinear Correlations', IEEE Transactions on Artificial Intelligence, 4, pp. 1101 - 1113, http://dx.doi.org/10.1109/TAI.2022.3194132

Uddin M; Mo H; Dong D; Elsawah S; Zhu J; Guerrero JM, 2023, 'Microgrids: A review, outstanding issues and future trends', Energy Strategy Reviews, 49, http://dx.doi.org/10.1016/j.esr.2023.101127

Xiao S; Wang Y; Zhang J; Dong D; Yokoyama S; Petersen IR; Yonezawa H, 2023, 'On the regularization and optimization in quantum detector tomography', Automatica, 155, http://dx.doi.org/10.1016/j.automatica.2023.111124

Li J; Li T; Dong D, 2023, 'Demand response management of smart grid based on Stackelberg-evolutionary joint game', Science China Information Sciences, 66, http://dx.doi.org/10.1007/s11432-022-3674-6

Liu Y; Zhao W; Dong D, 2023, 'Gradient-free algorithms for distributed online convex optimization', Asian Journal of Control, 25, pp. 2451 - 2468, http://dx.doi.org/10.1002/asjc.2996

Selim A; Mo H; Pota H; Dong D, 2023, 'Optimal Scheduling of Battery Energy Storage Systems Using a Reinforcement Learning-based Approach', IFAC-PapersOnLine, 56, pp. 11741 - 11747, http://dx.doi.org/10.1016/j.ifacol.2023.10.546

Xiao S; Wang Y; Zhang J; Dong D; Yonezawa H, 2023, 'Quantum state and detector tomography with known rank', IFAC-PapersOnLine, 56, pp. 5881 - 5887, http://dx.doi.org/10.1016/j.ifacol.2023.10.092

Ma H; Xiao S; Dong D; Petersen IR, 2023, 'Tomography of quantum detectors using neural networks', IFAC-PapersOnLine, 56, pp. 5875 - 5880, http://dx.doi.org/10.1016/j.ifacol.2023.10.088

Chen Y; Pan Y; Dong D, 2023, 'Quantum Language Model With Entanglement Embedding for Question Answering', IEEE Transactions on Cybernetics, 53, pp. 3467 - 3478, http://dx.doi.org/10.1109/TCYB.2021.3131252

Zhao W; Weyer E; Yin G; Dong D; Zhang Y; Shen T, 2023, 'Adaptive Regulation of Block-Oriented Nonlinear Systems Using Binary Sensors With Applications to Automotive Engine Control', IEEE Transactions on Automatic Control, 68, pp. 1369 - 1382, http://dx.doi.org/10.1109/TAC.2022.3151217

Fan LB; Shu CC; Dong D; He J; Henriksen NE; Nori F, 2023, 'Quantum Coherent Control of a Single Molecular-Polariton Rotation', Physical Review Letters, 130, http://dx.doi.org/10.1103/PhysRevLett.130.043604

Ma H; Huang CJ; Chen C; Dong D; Wang Y; Wu RB; Xiang GY, 2023, 'On compression rate of quantum autoencoders: Control design, numerical and experimental realization', Automatica, 147, http://dx.doi.org/10.1016/j.automatica.2022.110659

Mo H; Xiao X; Sansavini G; Dong D, 2023, 'Optimal defense resource allocation against cyber-attacks in distributed generation systems', Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, http://dx.doi.org/10.1177/1748006X231196259

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