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2014 International Conference on Manufacturing Technology and Electronics Applications, ICMTEA 2014

作者： Peng, Pei-Zhen Yu, Yi Wang, Zhao-Jia Jiang, Min Key Laboratory of Measurement and Control of Complex Engineering of Ministry of Education School of Automation Southeast University NanjingJiangsu China

ISBN: (纸本)9783038353287

Artificial Fish Swarm Algorithm (AFSA) since 2002 has been proposed by Dr. Li Xiao-lei more than ten years, and has been widely used in various engineering fields. However, since a lot of comprehensive standard running tests has not yet been made with the algorithm, it has not yet been unanimously recognized by the international academic community. By 34 Benchmark Functions tested with AFSA, the result evaluation for functions that are applicable and not applicable by AFSA is summarized. Also in order to overcome the drawbacks of Global Artificial Fish Swarm Algorithm (GAFSA) such as slow convergence and low precision, a modified GAFSA(MS_GAFSA) is proposed. Combined with GAFSA and Modified Simplex, the algorithm can improve the convergence speed and precision of optimization. When GAFSA converges to the global optimum nearby, a simplex is constructed and the algorithm switches to Modified Simplex method which will continue to optimize until a certain stop condition is satisfied. Take the best point of simplex vertex at this time as the optimal value. The computational results on 34 Benchmark functions show that MS_GAFSA does improve in optimizing accuracy and convergence speed. © (2014) Trans Tech Publications, Switzerland.

关键词： Global optimization

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Leader-Following Consensus of Multi-Agent systems with Dynamic Leader and measurement Noises 36

Leader-Following Consensus of Multi-Agent Systems with Dynam...

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第36届中国控制会议

作者： Yunpeng Wang Yunchun Xie Long Cheng Beijing Institute of Control Engineering Science and Technology on Space Intelligent Control Laboratory State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

ISBN: (纸本)9781538629185

This paper studies a leader-following consensus problem of multi-agent systems with a dynamic *** is assumed that the leader moves along a polynomial trajectory with respect to time,while followers have first-order integral *** follower is equipped with the positioning system and ranger finder sensor to measure its own position and the relative positions with its *** measured information is corrupted by measurement *** first study a specials case of leader-following consensus problem（tracking problem）,then we extend the results to the general *** is assumed that leader’s velocity is unknown to all *** deal with this challenge,the least square is used to estimate leader’s *** on the estimated velocity and measured information,a consensus protocol is *** is proved that the proposed protocol can solve the mean square leader-following consensus problem under some mild *** simulation examples are also presented to demonstrate the effectiveness of the proposed protocol.

关键词： Leader-Following Consensus Mutli-Agent systems Dynamic Leader measurement Noise Least Square Method

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Nonlinear L2 disturbance attenuation control design of UPFC for power flow control 29

Nonlinear L2 disturbance attenuation control design of UPFC ...

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第29届中国控制与决策会议

作者： Xingyu Lv Bangjun Lei Shumin Fei Office of Educational Administration Guizhou Institute of Technology School of Electrical and Information Engineering Guizhou Institute of Technology Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSchool of AutomationSoutheast University

ISBN: (纸本)9781509046584

A nonhnear L disturbance attenuation control（DAC） of unified power flow controller（UPFC） is investigated in power system by using Hamiltonian function ***,the dissipative Hamiltonian structure of the UPFC system is established by means of variable ***,based on the obtained dissipative Hamiltonian structure,a nonhnear L DAC is put *** results on the two-area four-machine power system demonstrate the effectiveness and robustness of the nonhnear L DAC in comparison with that of direct feedback linearization control（DFLC） and add-On self-tuning（ST） control and PI *** research results show that the nonhnear L DAC has better performance than the other controls.

关键词： UPFC uncertain nonlinear dynamical system Hamiltonian function method nonlinear L2 DAC

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PDP: Parallel Dynamic Programming

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IEEE/CAA Journal of Automatica Sinica 2017年第1期4卷 1-5页

作者： Fei-Yue Wang Jie Zhang Qinglai Wei Xinhu Zheng Li Li IEEE State Key Laboratory of Management and Control for Complex Systems(SKL-MCCS) Institute of AutomationChinese Academy of Sciences(CASIA) School of Computer and Control Engineering University of Chinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences(SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Department of Computer Science and Engineering University of Minnesota Department of Automation Tsinghua University

Deep reinforcement learning is a focus research area in artificial intelligence. The principle of optimality in dynamic programming is a key to the success of reinforcement learning methods. The principle of adaptive dynamic programming ADP is first presented instead of direct dynamic programming DP , and the inherent relationship between ADP and deep reinforcement learning is developed. Next, analytics intelligence, as the necessary requirement, for the real reinforcement learning, is discussed. Finally, the principle of the parallel dynamic programming, which integrates dynamic programming and analytics intelligence, is presented as the future computational intelligence. © 2014 Chinese Association of Automation.

关键词： Artificial intelligence Neural networks Reinforcement learning

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Mining Better Samples and Semantic Consistency for Contrast Learning in Forest Semantic Segmentation 41

Mining Better Samples and Semantic Consistency for Contrast ...

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第41届中国控制会议

作者： Chongjin Chen Yichao Cao Qingfei Tang Xiaobo Lu School of Software Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing Enbo Technology Co. Ltd.

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

Image segmentation has impressive progress in the past several *** good segmentation usually follows pixelwise well-annotated labels which is ***,the robustness would not be guaranteed due to lack-ofdiversity *** work usually focuses on pixels individually and pay less attention to the neighbor *** local context would be scarce and the global context is not utilized following these *** proposal a method,named Forest Semantic Segmentation Network(FSSNet) to address these *** organizes original version and augmented version of images,as two inputs into student branch and teacher branch,and force the two outputs being consistent to strengthen the robustness of our ***,we not only consider pixel itself and also the neighbor pixels because the context of neighbor pixels helps understanding the *** utilizes contrastive loss with memory bank to involve global context in training which will make pixels closer to others in same category and far away from pixels of different categories.A bank filter is suggested to improve the quality of features in the memory *** also proposal a new sample strategy to improve the effect of contrastive loss and reduce the *** method can improve accuracy and strengthen the robustness with affordable extra computation during training process,and no additional computation during inference toward *** to benchmark,the proposed approach can improve the mIoU by 3.1% on our challenging dataset.

关键词： Semantic segmentation Contrastive learning Deep learning

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Nonlinear Robust control Design for Static Synchronous Compensator 29

Nonlinear Robust Control Design for Static Synchronous Compe...

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第29届中国控制与决策会议

ISBN: (纸本)9781509046584

This article proposes a nonhnear robust control design for Static Synchronous Compensator(STATCOM) to improve stability and oscillation damping of power *** the parameter deviations,external disturbances and unmodeled dynamics,the nonhnear dynamic model of STATCOM can be translated into a Hamiltonian structure by means of coordinate *** on the Hamiltonian structure of STATCOM,a nonhnear robust(NR) control is designed for *** simulation results on the two-area four-machine power system demonstrate the robustness and effectiveness of the proposed NR control in comparison with the feedback linearization(FL) *** comparative study results indicate that the NR control has better performance than the FL control.

关键词： STATCOM Nonlinear Robust control Hamiltonian Function Method Asymptotic Stability

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A self-learning algorithm based on support vector machine for scheduling a job-shop-like knowledgeable manufacturing cell

A self-learning algorithm based on support vector machine fo...

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2011 International Conference on Mechanical engineering, Materials and Energy, ICMEME 2011

作者： Li, Wen-Chao Yan, Hong-Sen Key Laboratory of Measurement and Control of Complex Systems Engineering Southeast University Ministry of Education Nanjing 210096 China Department of Transportation Jiangsu University Zhenjiang 212013 China

ISBN: (纸本)9783037853405

The job-shop-like knowledgeable manufacturing cell scheduling is a NP-complete problem and there has not been a completely valid algorithm for it until now. An algorithm with self -learning ability is proposed through the addition of precedence constraint of operations on the basis of directed graph. A method based on support vector machine is constructed to choose accurately interchangeable operations by small samples earning to obtain the better scheduling. The classification accuracy can be improved by the continuous addition of new instances to the sample library. The results of simulation show that the algorithm performs well for the job-shop-like knowledgeable manufacturing cell. © (2012) Trans Tech Publications, Switzerland.

关键词： Computational complexity

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A Hierarchical Formation-Containment control Scheme for Second-Order Multi-agent systems 7th

A Hierarchical Formation-Containment Control Scheme for Sec...

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Cao, Yue Wang, Xiangyu Chen, Yangyang School of Automation Southeast University Nanjing210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing210096 China

ISBN: (纸本)9789819733231

In this paper, a hierarchical formation-containment control scheme is proposed for second-order multi-agent systems. The proposed hierarchical scheme decouples the control task into two layers, i.e., reference signal generator and agents’ tracking controllers. First, a reference signal generator is designed in Layer 1 for leader agents and follower agents, respectively, to produce the formation reference signals and containment reference signals, whose outputs "achieve" formation-containment asymptotically. Second, tracking controllers are designed in Layer 2 for each agent to track the reference signal. The proposed hierarchical formation-containment scheme realizes formation-containment asymptotically. The simulations are performed to validate the effectiveness and practicality of the scheme. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Multi agent systems

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Adaptive Augmented Kalman Filter-Based control for Electronic Throttle systems with Disturbances and Noises 42

Adaptive Augmented Kalman Filter-Based Control for Electroni...

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42nd Chinese control Conference, CCC 2023

作者： Li, Wen Su, Jinya Li, Shihua School of Automation Southeast University Nanjing210096 China Ministry of Education Key Laboratory of Measurement and Control of Complex Systems of Engineering Southeast University Nanjing210096 China

ISBN: (纸本)9789887581543

In this study, we investigate the control problem of electronic throttle systems in the presence of practical challenges such as disturbances and measurement noises. To address these challenges, we propose an adaptive augmented Kalman filter (AAKF) based control approach that combines the strengths of extended state observer in disturbance estimation and adaptive Kalman fil-ter in adaptive noise filtering. The outputs of AAKF are integrated into the Backstepping control design, resulting in a composite control that concurrently achieves fast disturbance rejection and noise suppression. We conduct a comparative simulation study against conventional methods without adaptive filtering to validate the effectiveness of the proposed AAKF-based control strat-egy, which exhibits superior position control accuracy and disturbance attenuation performance. We envision that our proposed control strategy will contribute to improving vehicle power, fuel economy, and emission performance. © 2023 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Adaptive filtering

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Flight control Using only Synthetic Jet Actuators in High-Angle-of-Attack 35

Flight Control Using only Synthetic Jet Actuators in High-An...

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第35届中国控制会议

作者： LI Chunzhi Yang Jianying State Key Laboratory for Turbulence and Complex Systems Department of Mechanics and Engineering Science College of Engineering Peking University National Key Laboratory of Science and Technology on Aerospace Intelligence Control

ISBN: (纸本)9781509009107

This paper proposes a novel airfoil active flow control method using only synthetic jet to achieve triple-channel flight attitude control at high angle of attack. It's a feasible and effective control method to solve the difficult problem of flight control at high attack angle when stall occurs. As a first step, we build a model of the aircraft, and derive the relationship between the synthetic-jet peak velocity and moments. Under these conditions, we design a controller to the system. A nonlinear integrated flight control and flow control system was developed and tested in simulations. Simulation results showed that the proposed control method, can effectively control the aircraft at high angle of attack.

关键词： synthetic jet flight control high angle of attack

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