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Pinning synchronization of delayed dynamical networks via impulsive control

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Pinning synchronization of delayed dynamical networks via im...

International Conference on Mechatronics and control (ICMC)

作者： Sumei Chu Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Centre for Intelligent and Networked Systems Central Queensland University Rockhampton Australia

ISBN: (纸本)9781479925391

This paper investigates synchronization of dynamical networks with both system delay and transmission delay by applying pinning impulsive control. Based on the comparison theorem and the theory of impulsive functional differential equations, some novel criteria are obtained, from which the proportion of pinned nodes is able to be determined. A numerical example is given to verify the effectiveness of the theoretical results.

关键词： Synchronization Delays Trajectory Couplings Neural networks Delay effects Network topology

Network design for distributed consensus estimation over heterogeneous sensor networks 19

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Network design for distributed consensus estimation over het...

19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Yang, Wen Shi, Ling Yuan, Ye Wang, Xiaofan Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Department of Engineering University of Cambridge United Kingdom Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9783902823625

This paper considers distributed estimation over heterogeneous sensor networks. We propose a distributed estimation strategy based on PageRank algorithm, where the link weight depends on the edge estimation covariances. We prove that the proposed estimator obtains better estimates than one typical estimator under identical initial conditions. Motivated by the advantage of the sensors with high accuracy locating at important positions, we propose an optimal sensor deployment strategy to arrange locations for sensors in a given physical network. Numerical examples are provided to demonstrate the effectiveness of the proposed estimator, showing a better performance under the optimal sensor deployment. © IFAC.

关键词： Sensor networks

Welding Robot Path optimization Based on Hybrid Discrete PSO

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Welding Robot Path Optimization Based on Hybrid Discrete PSO

International Symposium on Computational Intelligence and Design, ISCID

作者： Xuewu Wang Minghao Li Lika Xue Dongyan Ding Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China Institute of Microelectronic Materials and Technology Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781479970063

Welding robots application can greatly enhance the production efficiency. And effective welding robot path planning is important for improving the efficiency of welding robot. Due to its simplicity, high search accuracy and fast convergence rate, the particle swarm optimization (PSO) algorithm was used to study welding robot in this paper. A novel hybrid discrete PSO algorithm (HDPSO) was proposed to improve the basic discrete PSO after the light ray optimization, genetic algorithm and chaos optimization strategies were combined first. Then, the HDPSO was used to solve 3-dimensional welding path planning problem. Besides, a welding robot path planning simulation system was designed to realize user friendly path planning, and its practicality was verified by performance test.

关键词： optimization Welding Robots Path planning Cities and towns Chaos Genetic algorithms

A novel second order sliding mode control algorithm for velocity control permanent magnet synchronous motor

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Communications in Computer and Information Science 2013年 355卷 213-220页

作者： Qi, Liang Shi, Hongbo Key Laboratory of Advanced Control Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology 200237 Shanghai China

This paper focuses on performance improvements of the permanent magnet synchronous motor (PMSM) vector control. In this paper, a novel second order sliding mode control (SOSMC) algorithm is presented to accomplish velocity control of the PMSM. The integral manifold is utilized to avoid noise signals being amplified because of the acceleration information in control system, and the second order sliding mode control law is achieved by a Lyapunov function approach. The novel method can successfully eliminate the system chattering problem and improve the performance of the PMSM control system, such as fast response, high robustness and tracking speed performance. Meanwhile, an anti-windup control method is used to solve the problem of the windup phenomenon of the PMSM control system. The experimental results show that the proposed method is feasible and effective and is capable of controlling the permanent magnet synchronous motor. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Lyapunov functions

Analysis and modeling of GTAW weld pool geometry

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Communications in Computer and Information Science 2013年 355卷 284-293页

作者： Wang, XueWu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology 200237 Shanghai China

A three dimensional vision sensing system was used to mimic the human vision system to observe the three-dimensional weld pool surface in pipe Gas Tungsten Arc Welding (GTAW) process. Novel characteristic parameters containing information about the penetration state specified by its back-side weld pool width and height were proposed based on the reconstructed three dimensional weld pool surfaces. In order to obtain the penetration status in real time conveniently, a neural network model was established to estimate the penetration based on the proposed characteristic parameters. It was found that the top-side characteristic parameters proposed can reflect the back-side weld pool parameters accurately and the neural network is capable of predicting the penetration status in real time by observing the three-dimensional weld pool surface which is beneficial for penetration control of GTAW process. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Gas metal arc welding

Optimal operation for 3 control parameters of Texaco coal-water slurry gasifier with MO-3LM-CDE algorithms

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Communications in Computer and Information Science 2013年 355卷 382-391页

作者： Cao, Cuiwen Zhang, Yakun Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology 200237 Shanghai China

Optimizing operation parameters for Texaco coal-water slurry gasifier with the consideration of multiple objectives is a complicated nonlinear constrained problem concerning 3 BP neural networks. In this paper, multiobjective 3-layer mixed cultural differential evolution (MO-3LM-CDE) algorithms which comprise of 4 multi-objective strategies and a 3LM-CDE algorithm are firstly presented. Then they are tested in 6 benchmark functions. Finally, the MO-3LM-CDE algorithms are applied to optimize 3 control parameters of the Texaco coal-water slurry gasifier in methanol production of a real-world chemical plant. The simulation results show that multi-objective optimal results are better than the respective single-objective optimal operations. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Constrained optimization

Research on zero-wait scheduling problems in multiproduct processes with due dates

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Communications in Computer and Information Science 2013年 355卷 322-332页

作者： Xu, Zhenhao Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China

Production scheduling is an important aspect of batch process operations to achieve high productivity and operability. In this paper, we considered a zero-wait multiproduct scheduling with due dates under uncertainty, where the total weighted earliness/tardiness penalty is to be minimized. The imprecise processing time is expressed with the triangle fuzzy variable and the model has been established based on fuzzy cut-set theory. A new improved shuffled frog-leaping algorithm (ISFLA) is introduced to search optimal objective for the given problem, which has a new updating rule in memeplexes. In order to enhance the ability to search the global optimum, the strategy of Forced Moving of the worst frog in each sub-memeplex is proposed to increase the diversity. Simulated results demonstrate that ISFLA has outperformed the conventional SFLA, which is effective and robust in solving the zero-wait scheduling with due-date window. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Scheduling

Co-simulation research of autonomous landing control system

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Co-simulation research of autonomous landing control system

Chinese control Conference (CCC)

作者： Zhaoning Wang Shengxi Wu Xiangming Dun Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai Shanghai CN Research Institute of Robotics Shanghai Jiao Tong University Shanghai CN

In this paper, a control simulation of the autonomous landing process of a Vertical Take-Off and Landing (VTVL) Reusable Launch Vehicle (RLV) is proposed and we consider the effects of the inner liquid propellant sloshing, elastic vibration, disturbance force, disturbance torque and other complex conditions in the virtual RLV model. On the basis of dynamics modeling of the RLV, we analyzed RLV's landing process. The landing control system was designed under certain conditions. Co-simulation Research was achieved by ADAMS and MATLAB/Simulink. The simulation results show that the control system performs well.

关键词： Force control systems Data models Mathematical model Attitude control Angular velocity Equations

Hellinger Distance Based Probability Distribution Approach to Performance Monitoring of Nonlinear control Systems

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Hellinger Distance Based Probability Distribution Approach t...

第25届中国过程控制会议

作者： Chen Li Biao Huang Feng Qian Key Laboratory of Advanced Control and Optimization Ministry of Education East China University of Science and Technology Department of Chemical and Materials Engineering University of Alberta Edmonton Alberta T6G 2G6 Canada

control performance monitoring has attracted great attention in both academia and industry over the past two ***,most research efforts have been devoted to the performance monitoring of linear control systems,without considering the pervasive nonlinearities(*** stiction)which present in most industrial control *** this work,a novel probability distribution distance based index is proposed to monitor the performance of non-linear control *** proposed method uses Hellinger distance to evaluate change of control system *** simulation examples are given to illustrate effectiveness of the proposed method.

关键词： control performance monitoring,kernel density estimation,Hellinger distance,nonlinear system