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Data-driven active vibration control for helicopter with trailing-edge flaps using adaptive dynamic programming

Chinese Journal of Aeronautics 2024年第6期37卷 151-166页

作者： Yu CHEN Qun ZONG Xiuyun ZHANG Jinna LI School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China School of Information and Control Engineering Liaoning Petrochemical UniversityFushun 113001China

The helicopter Trailing-Edge Flaps(TEFs)technology is one of the recent hot topics in morphing wing *** employing controlled deflection,TEFs can effectively reduce the vibration level of ***,designing specific vibration reduction control methods for the helicopters equipped with trailing-edge flaps is of significant practical *** paper studies the optimal control problem for helicopter-vibration systems with TEFs under the framework of adaptive dynamic programming combined with Reinforcement Learning(RL).Time-delay and disturbances,caused by complexity of helicopter dynamics,inevitably deteriorate the control performance of vibration *** solve this problem,a zero-sum game formulation with a linear quadratic form for reducing vibration of helicopter systems is presented with a virtual *** this context,an off-policy reinforcement learning algorithm is developed to determine the optimal control *** algorithm utilizes only vertical vibration load data to achieve a policy that reduces vibration,attains Nash equilibrium,and addresses disturbances while compensating for time-delay without knowledge of the dynamics of the helicopter *** effectiveness of the proposed method is demonstrated in a virtual platform.

关键词： Active control Adaptive dynamic program-ming Helicopter rotor Vibration control Zero-sum game

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Quantum color image encryption: Dual scrambling scheme based on DNA codec and quantum Arnold transform

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Chinese Physics B 2025年第1期34卷 235-244页

作者： Tao Cheng Run-Sheng Zhao Shuang Wang Kehan Wang Hong-Yang Ma School of Sciences Qingdao University of TechnologyQingdao 266033China School of Information and Control Engineering Qingdao University of TechnologyQingdao 266033China

In the field of Internet, an image is of great significance to information transmission. Meanwhile, how to ensure and improve its security has become the focus of international research. We combine DNA codec with quantum Arnold transform(QAr T) to propose a new double encryption algorithm for quantum color images to improve the security and robustness of image encryption. First, we utilize the biological characteristics of DNA codecs to perform encoding and decoding operations on pixel color information in quantum color images, and achieve pixel-level diffusion. Second, we use QAr T to scramble the position information of quantum images and use the operated image as the key matrix for quantum XOR operations. All quantum operations in this paper are reversible, so the decryption operation of the ciphertext image can be realized by the reverse operation of the encryption process. We conduct simulation experiments on encryption and decryption using three color images of “Monkey”, “Flower”, and “House”. The experimental results show that the peak value and correlation of the encrypted images on the histogram have good similarity, and the average normalized pixel change rate(NPCR) of RGB three-channel is 99.61%, the average uniform average change intensity(UACI) is 33.41%,and the average information entropy is about 7.9992. In addition, the robustness of the proposed algorithm is verified by the simulation of noise interference in the actual scenario.

关键词： DNA codec quantum Arnold transform quantum image encryption algorithm

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A Constraint Adaptive Multi-Tasking Differential Evolution Algorithm:Designed for Dispatch of Integrated Energy System in Coal Mine

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Tsinghua Science and Technology 2024年第2期29卷 368-385页

作者： Canyun Dai Xiaoyan Sun Hejuan Hu Yong Zhang Dunwei Gong School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China School of Information Science and Technology Qingdao University of Science and TechnologyQingdao 266061China

The dispatch of integrated energy systems in coal mines(IES-CM)with mine-associated supplies is vital for efficient energy utilization and carbon emissions ***,IES-CM dispatch is highly challenging due to its feature as multi-objective and strong *** constrained multi-objective evolutionary algorithms often fall into locally feasible domains with poorly distributed Pareto front,which greatly deteriorates dispatch *** tackle this problem,we transform the traditional dispatch model of IES-CM into two tasks:the main task with all constraints and the helper task with constraint *** we propose a constraint adaptive multi-tasking differential evolution algorithm(CA-MTDE)to optimize these two tasks *** helper task with constraint adaptive is developed to obtain infeasible solutions near the feasible *** purpose of this infeasible solution is to transfer guiding knowledge to help the main task move away from local ***,a dynamic dual-learning strategy using DE/current-to-rand/1 and DE/current-to-best/1 is developed to maintain task diversity and ***,we comprehensively evaluate the performance of CA-MTDE by applying it to a coal mine in Shanxi Province,considering two IES-CM *** demonstrate the feasibility of CA-MTDE and its ability to generate a Pareto front with exceptional convergence,diversity,and distribution.

关键词： dispatch integrated energy system coal mine evolutionary multi-tasking constraint differential evolution

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Global receptive field transformer decoder method on quantum surface code data and syndrome error correction

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Chinese Physics B 2025年第3期34卷 267-276页

作者： Ao-Qing Li Ce-Wen Tian Xiao-Xuan Xu Hong-Yang Ma Jun-Qing Liang School of Information and Control Engineering Qingdao University of TechnologyQingdao 266033China School of Sciences Qingdao University of TechnologyQingdao 266033China

Quantum computing has the potential to solve complex problems that are inefficiently handled by classical ***,the high sensitivity of qubits to environmental interference and the high error rates in current quantum devices exceed the error correction thresholds required for effective algorithm ***,quantum error correction technology is crucial to achieving reliable quantum *** this work,we study a topological surface code with a two-dimensional lattice structure that protects quantum information by introducing redundancy across multiple qubits and using syndrome qubits to detect and correct ***,errors can occur not only in data qubits but also in syndrome qubits,and different types of errors may generate the same syndromes,complicating the decoding task and creating a need for more efficient decoding *** address this challenge,we used a transformer decoder based on an attention *** mapping the surface code lattice,the decoder performs a self-attention process on all input syndromes,thereby obtaining a global receptive *** performance of the decoder was evaluated under a phenomenological error *** results demonstrate that the decoder achieved a decoding accuracy of 93.8%.Additionally,we obtained decoding thresholds of 5%and 6.05%at maximum code distances of 7 and 9,*** results indicate that the decoder used demonstrates a certain capability in correcting noise errors in surface codes.

关键词： quantum error correction surface code transformer decoder

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Quantum decoder design for subsystem surface code based on multi-head graph attention and edge weighting

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Chinese Physics B 2025年第2期34卷 165-176页

作者： Nai-Hua Ji Hui-Qian Sun Bo Xiao Ping-Li Song Hong-Yang Ma School of Information and Control Engineering Qingdao University of TechnologyQingdao 266033China School of Sciences Qingdao University of TechnologyQingdao 266033China

Quantum error-correcting codes are essential for fault-tolerant quantum computing,as they effectively detect and correct noise-induced errors by distributing information across multiple physical *** subsystem surface code with three-qubit check operators demonstrates significant application potential due to its simplified measurement operations and low logical error ***,the existing minimum-weight perfect matching(MWPM)algorithm exhibits high computational complexity and lacks flexibility in large-scale ***,this paper proposes a decoder based on a graph attention network(GAT),representing error syndromes as undirected graphs with edge weights,and employing a multihead attention mechanism to efficiently aggregate node features and enable parallel *** to MWPM,the GAT decoder exhibits linear growth in computational complexity,adapts to different quantum code structures,and demonstrates stronger robustness under high physical error *** experimental results demonstrate that the proposed decoder achieves an overall accuracy of 89.95%under various small code lattice sizes(L=2,3,4,5),with the logical error rate threshold increasing to 0.0078,representing an improvement of approximately 13.04%compared to the MWPM *** result significantly outperforms traditional methods,showcasing superior performance under small code lattice sizes and providing a more efficient decoding solution for large-scale quantum error correction.

关键词： quantum error correction graph attention network subsystem surface code circuit-level noise

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A graph neural network and multi-task learning-based decoding algorithm for enhancing XZZX code stability in biased noise

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Chinese Physics B 2025年第5期34卷 250-257页

作者： Bo Xiao Zai-Xu Fan Hui-Qian Sun Hong-Yang Ma Xing-Kui Fan School of Information and Control Engineering Qingdao University of TechnologyQingdao 266033China School of Sciences Qingdao University of TechnologyQingdao 266033China

Quantum error correction is a technique that enhances a system’s ability to combat noise by encoding logical information into additional quantum bits,which plays a key role in building practical quantum *** XZZX surface code,with only one stabilizer generator on each face,demonstrates significant application potential under biased ***,the existing minimum weight perfect matching(MWPM)algorithm has high computational complexity and lacks flexibility in large-scale ***,this paper proposes a decoding method that combines graph neural networks(GNN)with multi-classifiers,the syndrome is transformed into an undirected graph,and the features are aggregated by convolutional layers,providing a more efficient and accurate decoding *** the experiments,we evaluated the performance of the XZZX code under different biased noise conditions(bias=1,20,200)and different code distances(d=3,5,7,9,11).The experimental results show that under low bias noise(bias=1),the GNN decoder achieves a threshold of 0.18386,an improvement of approximately 19.12%compared to the MWPM *** high bias noise(bias=200),the GNN decoder reaches a threshold of 0.40542,improving by approximately 20.76%,overcoming the limitations of the conventional *** demonstrate that the GNN decoding method exhibits superior performance and has broad application potential in the error correction of XZZX code.

关键词： quantum error correction XZZX code biased noise graph neural network

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Robust Offline Actor-Critic With On-policy Regularized Policy Evaluation

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2497-2511页

作者： Shuo Cao Xuesong Wang Yuhu Cheng the Engineering Research Center of Intelligent Control for Underground Space Ministry of Educationand the School of Information and Control EngineeringChina University of Mining and TechnologyXuzhou 221116China IEEE

To alleviate the extrapolation error and instability inherent in Q-function directly learned by off-policy Q-learning(QL-style)on static datasets,this article utilizes the on-policy state-action-reward-state-action(SARSA-style)to develop an offline reinforcement learning(RL)method termed robust offline Actor-Critic with on-policy regularized policy evaluation(OPRAC).With the help of SARSA-style bootstrap actions,a conservative on-policy Q-function and a penalty term for matching the on-policy and off-policy actions are jointly constructed to regularize the optimal Q-function of off-policy *** naturally equips the off-policy QL-style policy evaluation with the intrinsic pessimistic conservatism of on-policy SARSA-style,thus facilitating the acquisition of stable estimated *** with limited data sampling errors,the convergence of Q-function learned by OPRAC and the controllability of bias upper bound between the learned Q-function and its true Q-value can be theoretically *** addition,the sub-optimality of learned optimal policy merely stems from sampling *** on the well-known D4RL Gym-MuJoCo benchmark demonstrate that OPRAC can rapidly learn robust and effective tasksolving policies owing to the stable estimate of Q-value,outperforming state-of-the-art offline RLs by at least 15%.

关键词： Offline reinforcement learning off-policy QL-style on-policy SARSA-style policy evaluation(PE) Q-value estimation

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A Modified Genetic Algorithm for Combined Heat and Power Economic Dispatch

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Journal of Bionic engineering 2024年第5期21卷 2569-2586页

作者： Deliang Li Chunyu Yang School of Information and Control Engineering China University of Mining and TechnologyXuzhou221116China School of Mechatronic Engineering Xuzhou College of Industrial TechnologyXuzhou221140China

Combined Heat and Power Economic Dispatch(CHPED)is an important problem in the energy field,and it is beneficial for improving the utilization efficiency of power and heat *** paper proposes a Modified Genetic Algorithm(MGA)to determine the power and heat outputs of three kinds of units for ***,MGA replaces the simulated binary crossover by a new one based on the uniform and guassian distributions,and its convergence can be ***,MGA modi-fies the mutation operator by introducing a disturbance coefficient based on guassian distribution,which can decrease the risk of being trapped into local *** instances with or without prohibited operating zones are used to investigate the efficiencies of MGA and other four genetic algorithms for *** comparison with the other algorithms,MGA has reduced generation costs by at least 562.73$,1068.7$,522.68$and 1016.24$,respectively,for instances 3,4,7 and 8,and it has reduced generation costs by at most 848.22$,3642.85$,897.63$and 3812.65$,respectively,for instances 3,4,7 and ***,MGA has desirable convergence and stability for CHPED in comparison with the other four genetic algorithms.

关键词： Modified genetic algorithm Combined heat and power economic dispatch Uniform distribution Guassian distribution Disturbance coefficient Prohibited operating zone

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Effects of quantum noise on teleportation of arbitrary two-qubit state via five-particle Brown state

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Chinese Physics B 2024年第8期33卷 204-211页

作者：汪澳魏玉震姜敏李泳成陈虹黄旭 School of Electronics&Information Engineering Soochow UniversitySuzhou 215006China Key Laboratory of System Control and Information Processing Ministry of EducationShanghai 200240China School of Information Engineering Huzhou UniversityHuzhou 313000China

We propose a new protocol for quantum teleportation(QT)which adopts the Brown state as the quantum *** work focuses on the teleportation of a single unknown two-qubit state via a Brown state channel in an ideal *** validate the effectiveness of our proposed scheme,we conduct experiments by using the quantum circuit simulator ***,we investigate the effects of four noisy channels,namely,the phase damping noise,the bit-flip noise,the amplitude damping noise,and the phase-flip ***,we employ Monte Carlo simulation to elucidate the fidelity density under various noise *** analysis demonstrates that the fidelity of the protocol in a noisy environment is influenced significantly by the amplitude of the initial state and the noise factor.

关键词： quantum communication Brown state fidelity

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Research on Defect Detection of Wind Turbine Blades Based on Morphology and Improved Otsu Algorithm Using Infrared Images

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Computers, Materials & Continua 2024年第10期81卷 933-949页

作者： Shuang Kang Yinchao He Wenwen Li Sen Liu School of Mechanical and Control Engineering Baicheng Normal UniversityBaicheng137000China School of Information and Control Engineering Jilin Institute of Chemical TechnologyJilin132022China

To address the issues of low accuracy and high false positive rate in traditional Otsu algorithm for defect detection on infrared images of wind turbine blades(WTB),this paper proposes a technique that combines morphological image enhancement with an improved Otsu ***,mathematical morphology’s differential multi-scale white and black top-hat operations are applied to enhance the *** algorithm employs entropy as the objective function to guide the iteration process of image enhancement,selecting appropriate structural element scales to execute differential multi-scale white and black top-hat transformations,effectively enhancing the detail features of defect regions and improving the contrast between defects and ***,grayscale inversion is performed on the enhanced infrared defect image to better adapt to the improved Otsu ***,by introducing a parameter K to adjust the calculation of inter-class variance in the Otsu method,the weight of the target pixels is *** with the adaptive iterative threshold algorithm,the threshold selection process is further *** results show that compared to traditional Otsu algorithms and other improvements,the proposed method has significant advantages in terms of defect detection accuracy and reducing false positive *** average defect detection rate approaches 1,and the average Hausdorff distance decreases to 0.825,indicating strong robustness and accuracy of the method.

关键词： Morphological enhancement improved Otsu algorithm infrared image grayscale inversion adaptive iterative thresholding

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