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A new noise network and gradient parallelisation‐based asynchronous advantage actor‐critic algorithm

IET Cyber-Systems and Robotics 2022年第3期4卷 175-188页

作者： Zhengshun Fei Yanping Wang Jinglong Wang Kangling Liu Bingqiang Huang Ping Tan Provincial Key Institute of Robotics School of Automation and Electrical EngineeringZhejiang University of Science and TechnologyHangzhouChina State Key Lab of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhouChina

Asynchronous advantage actor‐critic(A3C)algorithm is a commonly used policy opti-mization algorithm in reinforcement learning,in which asynchronous is parallel inter-active sampling and training,and advantage is a sampling multi‐step reward estimation method for computing *** order to address the problem of low efficiency and insufficient convergence caused by the traditional heuristic exploration of A3C algorithm in reinforcement learning,an improved A3C algorithm is proposed in this *** this algorithm,a noise network function,which updates the noise tensor in an explicit way is constructed to train the *** advantage estimation(GAE)is also adopted to describe the dominance ***,a new mean gradient parallelisation method is designed to update the parameters in both the primary and secondary networks by summing and averaging the gradients passed from all the sub‐processes to the main *** experiments were conducted in a gym environment using the PyTorch Agent Net(PTAN)advanced reinforcement learning library,and the results show that the method enables the agent to complete the learning training faster and its convergence during the training process is *** improved A3C algorithm has a better performance than the original algorithm,which can provide new ideas for sub-sequent research on reinforcement learning algorithms.

关键词： asynchronous advantage actorcritic (A3C) generalised advantage estimation (GAE) parallelisation reinforcement learning

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Fault diagnosis for wasterwater treatment plant based on an improved support vector data description method

Fault diagnosis for wasterwater treatment plant based on an ...

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2023 CAA Symposium on Fault Detection, Supervision and Safety for Technical Processes, SAFEPROCESS 2023

作者： Zhou, Meng Song, Weiwei Wang, Jing Wang, Chang North China University of Technology School of Electrical and Control Engineering Beijing China Beijing Aerospace Automation Research Institute Beijing China

ISBN: (纸本)9798350337754

In this paper, a fault detection method based on improved support vector data description is proposed for wastewater treatment plants. First, an improved Multi-Kernel Support Vector Data Description (MKSVDD) method is presented in which multicore-kernel functions are combined with the traditional support vector data description method. This can make the model more adaptable to different input samples, allowing it to have both learning and generalization capabilities. Then, the parameters of the MKSVDD are optimizted by Sparrow Search Algorithm (SSA), which overcomes randomness and uncertainty of human manual adjustment parameters. Finally, simulation results are given to demonstrate the effectiveness of the proposed method. Nine types of fault data sets generated by the Benchmark Simulation Model 1 (BSM1) are used and simulations results show that the model is more adaptable to the samples and has better indicators for anomaly detection compared to the original algorithm. © 2023 IEEE.

关键词： Wastewater treatment

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Metro Railway Traffic Safety Detection Based on An Attention Improved Network 5

Metro Railway Traffic Safety Detection Based on An Attention...

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5th International Conference on Industrial Artificial Intelligence, IAI 2023

作者： Liu, Xiaobin Liu, Quanli Wang, Wei Yu, Zichen Zhao, Xiaoguang Dalian University of Technology School of Control Science and Engineering Dalian China Dalian Seasky Automation Co. Ltd Dalian China

ISBN: (纸本)9798350325294

The majority of causes that contribute to metro railway traffic accidents can be attributed to human errors. The widespread application of railway perception systems is expected to reduce the occurrence rate of railway traffic accidents. A metro railway perception system is designed to sense the surrounding environment, and it plays a crucial role in ensuring the safety of metro railway transportation systems. Based on the actual scenario of Dalian Metro Line 202, a detection method is proposed to complete the task of metro railway traffic detection. The extract ability of the backbone is enhanced by aggregating the hierarchical feature map. By introducing attention module, adopting decoupled detection head and adding extra object detection head, the detection ability of network for objects is promoted and the proposed network achieves satisfactory results in real scenarios. © 2023 IEEE.

关键词： Object detection

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Alertness Analysis from EEG Signals based on Temporal Complex Network Features 16

Alertness Analysis from EEG Signals based on Temporal Comple...

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16th International Congress on Image and Signal Processing, BioMedical engineering and Informatics, CISP-BMEI 2023

作者： Wei, Beibei Han, Chunxiao Chen, Yi Che, Yanqiu Qin, Yingmei Li, Shanshan Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing & Intelligent Control School of Automation and Electrical Engineering Tianjin China

ISBN: (纸本)9798350330755

Fatigue driving is a major contributor to traffic accidents, as it reduces alertness and can even be fatal. To investigate alertness changes during prolonged driving, we first built a simulated driving experiment platform and designed an alertness detection experiment. Electroencephalogram (EEG) signals were collected during prolonged fatigue driving from 16 subjects. For each subject, the driving process was divided into eight stages from T0-T7. Then, the alertness level was analyzed by temporal complex network method based on multiplex limited penetrable visibility graphs from the collected EEG signals. The clustering coefficient, path length and global efficiency of the constructed complex network were extracted for each driving stage under five typical brain rhythms including delta, theta, alpha, beta, and gamma. The results indicate that after a long stage of driving, the clustering coefficient and path length show an overall increasing trend, while the global efficiency reveals an overall decreasing trend. Our findings may provide indicators for monitoring alertness level. © 2023 IEEE.

关键词： Complex networks

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control law design for localizer pre-capture based on integrated navigation 2

Control law design for localizer pre-capture based on integr...

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2nd International Symposium on Aerospace engineering and Systems, ISAES 2023

作者： Zhang, Jiahao Meng, Fandong Zhou, Chao Gao, Zhiyuan School of Mechatronic Engineering and Automation Shanghai University Shanghai China Comac Aircraft Electronics Electrical and Control Integration Division Shanghai China

ISBN: (纸本)9798350303728

To enhance the performance of automatic landing systems for commercial aircraft, a control law of localizer pre-capture was developed based on the maximum pitch angle limit of the approach, the characteristics of the aircraft and localizer, and the fusion signals of the integrated navigation are used to delineate the approach paths and adjust the intercept angle. The modeling and simulation of the control law was implemented using MATLAB/Simulink. The simulation results show that the designed control law can guide the aircraft into the linear beam range of the localizer with appropriate intercept angle in various complex situations. The proposed method can provide a reference for further research of automatic flight control system for commercial aircraft. © 2023 IEEE.

关键词： Air navigation

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Adaptive Learning of Human Driving Behavior for Nonlinear Vehicle Systems via Fuzzy Modelling

Adaptive Learning of Human Driving Behavior for Nonlinear Ve...

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2023 China automation Congress, CAC 2023

作者： Yi, Ran Lin, Jie Wu, Huai-Ning School of Automation Science and Electrical Engineering Beihang University Beijing100191 China School of Automation Science and Electrical Engineering Beihang University The Science and Technology on Aircraft Control Laboratory Beijing100191 China The Peng Cheng Laboratory Shenzhen518000 China

ISBN: (纸本)9798350303759

Artificial intelligence hopes machines perform tasks in a way naturally like a human being, a useful approach is behavior cloning (BC), which makes the machine learn human behavior. This paper addresses the online learning problem of human behavior based on a nonlinear human-in-the-loop (HiTL) vehicle system, where the human driver is modeled by a fuzzy controller. First, a Takagi-Sugeno (T-S) fuzzy model is constructed for the nonlinear vehicle control system. And a control model based on the parallel distributed compensation (PDC) technique is used to describe the human driver's behavior. A concurrent learning (CL)-based online adaptive law is then designed to learn the fuzzy feedback gain matrices of the fuzzy control model. Compaired with traditional approaches, the CL-based law removes the persistent excitation (PE) condition, mekes it more suitable for complex nonlinear systems. Finally, the simulation results are provided to demonstrate the effectiveness of the approach. © 2023 IEEE.

关键词： Learning systems

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Developed Wide-Band Frequency Transformer Model for Conducted Common Mode Characteristics Prediction

CPSS Transactions on Power Electronics and Applications

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CPSS Transactions on Power Electronics and Applications 2025年第1期10卷 110-119页

作者： Kaining Fu Jiangtao Tu Wei Chen Linsen Huang Xiamen Key Laboratory of Frontier Electric Power Equipment and Intelligent Control School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China School of Electrical Engineering and Automation Xiamen University of Technology Xiamen China School of Electrical Engineering and Automation Fuzhou University Fuzhou China

Isolated power converters are widely used for its safety and flexible adjustment between input and output voltage range. EMI occurs due to the presence of switching process. The existence of parasitic parameters in transformers causes the work of EMI prediction in isolated DC-DC power converters more complicated. Parasitic parameters in transformer are the crucial propagation paths for CM noise conduction. For improving the accuracy of EMI prediction, this paper developed a wide-band frequency transformer model based on the two-capacitance model, further considering both the effect capacitive and inductive coupling on conductive common mode noise. Furthermore, the influence of permeability versus frequency of Mn-Zn ferrite on CM transmission, is investigated in detail. Two-port measurement is used for the validation of the proposed high frequency model. The experiment results demonstrate that the proposed wind-band frequency transformer model can well predict the CM noise behavior in the frequency range of 100 kHz to 100 MHz.

关键词： Windings Transformers Capacitance Noise Electromagnetic interference Couplings Solid modeling Predictive models Power transformer insulation Magnetic flux

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Features Extraction of Different Emotional based on Brain Rhythm 5

Features Extraction of Different Emotional based on Brain Rh...

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5th Asia Symposium on Image Processing, ASIP 2023

作者： Liu, Yanli Han, Chunxiao Tong, Wenhui Liu, Junxiu Qin, Yingmei Che, Yanqiu Tianjin University of Technology and Education School of Automation and Electrical Engineering Tianjin Key Laboratory of Information Sensing & Intelligent Control Tianjin China

ISBN: (纸本)9798350323429

Emotions are an essential part of human physiological performance. Therefore, the study of emotion recognition is extremely relevant in both practical applications and theoretical research. Based on the electroencephalogram (EEG) data we collected, this paper explored the differences from five different characteristics among the coefficient of variation (CV) , power spectral density (PSD) , differential entropy (DE) , approximate entropy (AE) , and permutation entropy (PE) of three emotions at different rhythms, analyzed the activity of each brain region under different emotions. Finally, this paper also compares the classification accuracy of single features and combined features. The experimental results reveal that emotions are more strongly correlated with Beta and Gamma bands;temporal lobe regions are most active in emotion-related brain activity;and the accuracy of combined features is higher than the accuracy of single feature classification. The experiment conclusively demonstrates that effective feature extraction and selection have far-reaching implications for emotion recognition. © 2023 IEEE.

关键词： Emotion Recognition

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Research on control Strategy of Hybrid Energy Source System Based on Interconnection and Damping Assignment 6

Research on Control Strategy of Hybrid Energy Source System ...

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6th IEEE International Electrical and Energy Conference, CIEEC 2023

作者： Tang, Dewei Li, Wei Ding, Shichuan Liu, Lu Anhui University National Engineering Laboratory of Energy-Saving Motor & Control Technology Hefei China School of Electrical Engineering and Automation Anhui University Hefei China

ISBN: (纸本)9798350346671

In this paper, aiming at the nonlinear control problem of the hybrid energy source system, encompassing both the battery and the supercapacitor, an Interconnection and Damping Assignment Passivity-Based control (IDA-PBC) strategy is proposed. Combined with modes charging and discharging modes, a port-controlled Hamiltonian mathematical model of the hybrid energy source system is established. By configuring the interconnection and damping matrices, an interconnection and damping assignment controller, incorporating the rule-based energy management strategy, is designed. When the load power demand changes, the designed controller can maintain the stability of the DC bus voltage and reasonably distribute the power between the battery and the supercapacitor. Experimental results verify the effectiveness of the proposed strategy. © 2023 IEEE.

关键词： Supercapacitor

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Trajectory Planning of Robot Terminal Pose by Interpolation Method 38

Trajectory Planning of Robot Terminal Pose by Interpolation ...

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38th Youth Academic Annual Conference of Chinese Association of automation, YAC 2023

作者： Chen, Biao Hu, Shan Bing, Zhigang Tianjin University of Technology and Education Tianjin Key Laboratory of Information Sensing Intelligent Control School of Automation and Electrical Engineering Tianjin China

ISBN: (纸本)9798350303636

In order to improve the stability of the robot at work, this paper adds an insertion point between the end of the robot and the next target point, and changes the original linear trajectory to a new trajectory planned by interpolation method. The simulation experiment is carried out in MATLAB software. The interpolation method curve is compared with the linear curve. The optimization results show that the velocity and acceleration curves under the interpolation method become more gentle, which verifies the effectiveness of the method. © 2023 IEEE.

关键词： interpolation method linear posture robot

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