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arXiv 2024年

作者： Xiao, Shuixin Wang, Yuanlong Zhang, Jun Dong, Daoyi Mooney, Gary J. Petersen, Ian R. Yonezawa, Hidehiro School of Engineering and Technology University of New South Wales CanberraACT2600 Australia University of Michigan–Shanghai Jiao Tong University Joint Institute Shanghai Jiao Tong University Shanghai200240 China School of Engineering The Australian National University CanberraACT2601 Australia Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China CIICADA Lab School of Engineering Australian National University ACT2601 Australia School of Physics The University of Melbourne ParkvilleVIC3010 Australia School of Physics University of Melbourne ParkvilleVIC3010 Australia School of Engineering Australian National University ACT2601 Australia RIKEN Center for Quantum Computing Japan Centre for Quantum Computation and Communication Technology Australian Research Council CanberraACT2600 Australia

Quantum process tomography is a critical task for characterizing the dynamics of quantum systems and achieving precise quantum control. In this paper, we propose a two-stage solution for both trace-preserving and non-trace-preserving quantum process tomography. Utilizing a tensor structure, our algorithm exhibits a computational complexity of O(MLd2) where d is the dimension of the quantum system and M, L represent the numbers of different input states and measurement operators, respectively. We establish an analytical error upper bound and then design the optimal input states and the optimal measurement operators, which are both based on minimizing the error upper bound and maximizing the robustness characterized by the condition number. Numerical examples and testing on IBM quantum devices are presented to demonstrate the performance and efficiency of our algorithm. Copyright © 2024, The Authors. All rights reserved.

关键词： Error analysis

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Penetration Trajectory Optimization of Hypersonic Gliding Vehicles with Multiple Constraints

Penetration Trajectory Optimization of Hypersonic Gliding Ve...

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第40届中国控制会议

作者： Zhipeng Shen Jianglong Yu Xiwang Dong Qingdong Li Zhang Ren School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education of China Chongqing University

The penetration trajectory optimization problem of hypersonic gliding vehicles（HGV） with multiple constraints is investigated. Firstly, the attack-defense confrontation models are established, where the HGV is required to achieve effective penetration under interception missile using Proportional Navigation Guidance（PNG） method. Then the original penetration trajectory optimization problem under multiple constraints is converted into a second-order cone programming（SOCP） problem through linearization, discretization and convexification manipulation. The online sequential convex optimization algorithm is used to solve the SOCP problem. Finally, numerical simulations are given to demonstrate the effectiveness of the method and penetration effect.

关键词： Penetration Hypersonic gliding vehicles Trajectory optimization Convex optimization Multiple constraints

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Singularity representation and workspace determination of the parrallel robot PAR4

Singularity representation and workspace determination of th...

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International Conference on Sciences and Techniques of Automatic control and Computer engineering (STA)

作者： Ahlem Saidi Neila Mezghani Ben Romdhane Laboratory of sciences and technique of automatic control and computing (Lab-STA) Nationnal school of engineering of sfax Sfax Tunisia

ISBN: (数字)9781728188157

ISBN: (纸本)9781728188164

In this paper, the Singularity representation and workspace determination of the parrallel robot PAR4 are presented. The serial singularity (type 1) is determined using the kinematic matrix. This type of singularity indicates the unreachable points in the workspace. Based on the inverse geomatric model (MGI) of the parallel robot PAR4 the workspace is determined. Numerical results are presented showing some singularity of type 1 and their representation of the robot PAR4. Also, the workspace of this robot is presented.

关键词： Parallel robots Geomagnetism Simulation Computational modeling Kinematics Numerical models

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Cooperative guidance strategy with a leader-follower structure

Cooperative guidance strategy with a leader-follower structu...

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第40届中国控制会议

作者： Zhexin Shi Jianglong Yu Jiahong Wei Xiwang Dong Qingdong Li Zhang Ren School of Automation Science and Electrical Engineering Science and Technology on Aircraft Control Laboratory Beihang University Key Laboratory of Dependable Service Computing in Cyber Physical Society (Chongqing University) Ministry of Education of ChinaChongqing University

The cooperative guidance design and analysis issues for multiple robots system are investigated. First, a cooperative guidance structure is constructed by leader layer robots and follower layer robots. Then, for the leader robot layer, the cooperative detection guidance law is designed to achieve the coordination of the detection field of view（FOV）, while providing the reference trajectories. Third, for the follower robot layer, the time-varying line of sight（LOS） angle formation tracking guidance law is proposed based on the leader robots’ LOS angle trajectories convex combination. In addition, the design process is given ***, a cooperative guidance platform consisting of two leaders, three followers, and a target is constructed. The theoretical results are verified by numerical simulation examples, and experimental results are presented on the platform.

关键词： Paper Instruction Chinese control Conference

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Research on trajectory planning and motion control of 7-DoF sawyer manipulator 1

Research on trajectory planning and motion control of 7-DoF ...

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1st IEEE International Conference on Digital Twins and Parallel Intelligence, DTPI 2021

作者： Luo, Kun Xiong, Gang Wang, Yuxiao Hu, Bin Liu, Sheng Chen, Shichao Institute of Automation Chinese Academy of Sciences The State Key Laboratory for Management and Control of Complex Systems Beijng China School of Artificial Intelligence University of Chinese Academy of Sciences Beijng China Guangdong Engineering Research Center of 3D Printing and Intelligent Manufacturing Cloud Computing Center Chinese Academy of Sciences Beijng China Qingdao Academy of Intelligent Industries Chinese Academy of Sciences Beijng China

ISBN: (纸本)9781665433372

Regarding human-machine collaborative task, generated trajectories of a robot manipulator should be able to avoid joint limits and singularities, but the 6 Degrees of Freedom(DoF) or lower DoF manipulators encounter difficulties in many schemes. In this paper, research is implemented on the methods of trajectory planning and motion control on the newly human-machine collaborative 7-DoF Sawyer manipulator. We try to pay more attention to these approaches and find a better combination between trajectory planners and motion controllers for Sawyer manipulator. First of all, comparison is proposed between the methods about trajectory planning in task space and joint space, drawing a conclusion that the latter has the advantage of quickness and smoothness on trajectories in real time. Next, we choose to plan trajectory in the joint space by interpolating positions and orientations. Three approaches, i.e., trapezoidal velocity trajectory, cubic polynomial trajectory and basic spline trajectory, are applied to interpolate positions. Experimental results show that it results in the smoothest trajectory using basic spline trajectory planning. We also compare linear and nonlinear orientation interpolations to address the angle wrapping issue, which leads to difficulties in smooth orientation interpolation between several waypoints. Combining polynomial trajectory planning methods with the proportional-derivative (PD) motion controller and the computed-torque motion controller, we focus on the performance of the two different combinations. It is found that trajectories with computed-torque controller have shorter path with a congruous convergence on joint position, and more accurate trajectories with less overshoots in position than others. © 2021 IEEE.

关键词： Motion control

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Three-Variable and Five-Variable Weng-Zhang Algorithms of Different Traversal Types Applied to UKHP Prediction

Three-Variable and Five-Variable Weng-Zhang Algorithms of Di...

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2021 China Automation Congress, CAC 2021

作者： Zhang, Yunong Zhang, Yining Li, Litian School of Compute Science and Engineering Sun Yat-sen University Guangzhou510006 China Research Institute of Sun Yat-sen University in Shenzhen Shenzhen518057 China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education Guangzhou510006 China Guangdong Key Laboratory of Modern Control Technology Guangzhou510070 China School of Artificial Intelligence Sun Yat-sen University Zhuhai519082 China

ISBN: (纸本)9781665426473

UK hung parliament (UKHP) prediction is a concern. It may not only cause political issues, but also lead to troubles in other fields such as economics. It is important to make predictions on UKHP. In this paper, we use three-variable and five-variable Weng-Zhang algorithms (also termed addition-subtraction and frequency [ASF] algorithms) of different traversal types to predict the risky time-intervals and years of UKHP to give an early alert for avoidance. Experiment results show that 2021-2023, 2047-2068, and 2098-2104 are more potentially risky, and 2023, 2053, 2055, 2061, 2068, and 2098 have a greater risk for the occurrence of UKHP. © 2021 IEEE

关键词： Forecasting

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Adaptive finite-time control of master-slave manipulators with time-varying delay

Adaptive finite-time control of master-slave manipulators wi...

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International Conference on Sciences and Techniques of Automatic control and Computer engineering (STA)

作者： Asma Ounissi Neila Mezghani Ben Romdhane Laboratory of sciences and technique of automatic control and computing (Lab-STA) Nationnal school of engineering of sfax Sfax Tunisia

ISBN: (数字)9781728188157

ISBN: (纸本)9781728188164

The work presented in this paper focuses on the finite-time control of the master-slave manipulators with time-varying delay. First, a nonsingular fast terminal sliding mode control (NFTSMC) is used for this system based on the knowledge of the upper bound of the uncertainties and disturbances. Despite of the presence of the uncertainties, disturbances, load variation and time-varying delay, the controller is robust and present a finite-time convergence. Second, an adaptive nonsingular fast terminal sliding mode control (ANFTSMC) is applied to master-slave manipulators to avoid the knowledge of the upper bound of the uncertainties and disturbances. This controller presents good performance compared to the first one. The two controllers are evaluated in simulation.

关键词： Uncertainty Upper bound Master-slave Manipulators Load management Delays Sliding mode control

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Tribological behaviour diagnostic and fault detection of mechanical seals based on acoustic emission measurements

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Friction 2019年第6期7卷 572-586页

作者： Hossein TOWSYFYAN Fengshou GU Andrew D BALL Bo LIANG Institute of Sound and Vibration Research(ISVR) Digital Signal Processing and Control GroupUniversity of SouthamptonSouthampton SO171BJUK School of Computing and Engineering University of HuddersfieldHuddersfield HD13DHUK

Acoustic emission(AE) has been studied for monitoring the condition of mechanical seals by many researchers, however to the best knowledge of the authors, typical fault cases and their effects on tribological behaviour of mechanical seals have not yet been successfully investigated. In this paper, AE signatures from common faults of mechanical seals are studied in association with tribological behaviour of sealing gap to develop more reliable condition monitoring approaches. A purpose-built test rig was employed for recording AE signals from the mechanical seals under healthy and faulty conditions. The collected data was then processed using time domain and frequency domain analysis methods. The study has shown that AE signal parameters: root mean squared(RMS) along with AE spectrum, allows fault conditions including dry running, spring out and defective seal faces to be diagnosed under a wide range of operating conditions. However, when mechanical seals operate around their transition point, conventional signal processing methods may not allow a clear separation of the fault conditions from the healthy baseline. Therefore an auto-regressive(AR) model has been developed on recorded AE signals to classify different fault conditions of mechanical seals and satisfactory results have been perceived.

关键词： tribology acoustic emission condition monitoring

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Reconfigurable Intelligent Surface Enhanced Wireless Localization: Phase Optimization for Malicious Interference Mitigation

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IEEE Transactions on Communications 2025年

作者： Zhang, Yi Xie, Yajing Wang, Lijia Liwang, Minghui Wang, Xianbin Xiamen University Ministry of Education of China Department of Information and Communication Engineering Key Laboratory of Multimedia Trusted Perception and Efficient Computing Xiamen China Tongji University Shanghai Research Institute for Intelligent Autonomous Systems Department of Control Science and Engineering Shanghai China Western University Department of Electrical and Computer Engineering ON Canada

Recently, unmanned aerial vehicles (UAVs) and reconfigurable intelligent surfaces (RISs) have merged as important enabling technologies for localization coverage extension and localization accuracy improvement under signal blockage and malicious interference conditions. However, most existing works assume known locations of jammers, which is generally impractical in real-world networks. To overcome this challenge, we propose a novel RIS-enhanced wireless localization framework against malicious interference with the support of either narrowband or orthogonal frequency division multiplexing (OFDM) pilot signals. A two-stage anti-jamming localization approach is developed to first estimate the unknown channel and signal information of the jammer and then localize the user’s position by eliminating the jamming signal. More importantly, we utilize the full potential of RIS to improve localization accuracy by optimizing the phase shift profile during the iterative process. Extensive simulation results demonstrate the commendable performance of our proposed framework, which can not only mitigate the jamming effect but also achieve better localization accuracy, offering a good reference for future heterogeneous and complex wireless networks. © 1972-2012 IEEE.

关键词： Frequency division multiplexing

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Artificial intelligence in cancer target identification and drug discovery

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Signal Transduction and Targeted Therapy 2022年第6期7卷 1951-1974页

作者： Yujie You Xin Lai Yi Pan Huiru Zheng Julio Vera Suran Liu Senyi Deng Le Zhang College of Computer Science Sichuan UniversityChengdu 610065China Laboratory of Systems Tumor Immunology Friedrich-Alexander-Universität Erlangen-Nürnberg(FAU)and Universitätsklinikum ErlangenErlangen 91052Germany Faculty of Computer Science and Control Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesRoom D5131068 Xueyuan AvenueShenzhen University TownShenzhen 518055China School of Computing Ulster UniversityBelfast BT151EDUK Institute of Thoracic Oncology Department of Thoracic SurgeryWest China HospitalSichuan UniversityChengdu 610065China Key Laboratory of Systems Biology Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesChinese Academy of SciencesHangzhou 310024China Key Laboratory of Systems Health Science of Zhejiang Province Hangzhou Institute for Advanced StudyUniversity of Chinese Academy of SciencesHangzhou 310024China

Artificial intelligence is an advanced method to identify novel anticancer targets and discover novel drugs from biology networks because the networks can effectively preserve and quantify the interaction between components of cell systems underlying human diseases such as ***,we review and discuss how to employ artificial intelligence approaches to identify novel anticancer targets and discover ***,we describe the scope of artificial intelligence biology analysis for novel anticancer target ***,we review and discuss the basic principles and theory of commonly used network-based and machine learning-based artificial intelligence ***,we showcase the applications of artificial intelligence approaches in cancer target identification and drug *** together,the artificial intelligence models have provided us with a quantitative framework to study the relationship between network characteristics and cancer,thereby leading to the identification of potential anticancer targets and the discovery of novel drug candidates.

关键词： drugs cancer drug

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