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作者： Tang, Yang Qian, Feng Gao, Huijun Kurths, Jürgen Potsdam Institute for Climate Impact Research Potsdam14473 Germany Institute of Physics Humboldt University of Berlin Berlin12489 Germany Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150080 China Institute for Complex Systems and Mathematical Biology University of Aberdeen AberdeenAB24 3UE United Kingdom Department of Control Theory Nizhny Novgorod State University Gagarin Avenue 23 Nizhny Novgorod606950 Russia King Abdulaziz University Jeddah21589 Saudi Arabia

Complex networks have, in recent years, brought many innovative impacts to large-scale systems. However, great challenges also come forth due to distinct complex situations and imperative requirements in human life nowadays. This paper attempts to present an overview of recent progress of synchronization of complex dynamical networks and its applications. We focus on robustness of synchronization, controllability and observability of complex networks and synchronization of multiplex networks. Then, we review several applications of synchronization in complex networks, especially in neuroscience and power grids. The present limitations are summarized and future trends are explored and tentatively highlighted. © 2014 Elsevier Ltd. All rights reserved.

关键词： Synchronization

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Fuzzy dynamic characteristic modeling and intelligent adaptive control for complex spacecraft

Fuzzy dynamic characteristic modeling and intelligent adapti...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xiong Luo Song Hu Zengqi Sun Xintao Qiu School of Information Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China State Key Laboratory of Intelligent Technology and System Department of Computer Science and Technology Tsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

Because of strong coupling, nonlinear, and time-varying characteristics, it is difficult to control complex spacecraft. By means of combining with controlled object dynamics and performance requirements, characteristic modeling and control approach is an effective way to solve this problem. Aimed at the flexible satellites described by using characteristic modeling approach, with the help of fuzzy rules, fuzzy dynamic characteristic modeling method and intelligent adaptive controller are designed to control this complex spacecraft. Meanwhile, based on the satellite system simulation platform, we validate the correctness and efficiency of the proposed modeling and control method by comparing with the simulation results of the other similar methods.

关键词： Adaptation model Laboratories Satellites Space vehicles Intelligent control Artificial intelligence Information science

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$\mathcal {H}_{\infty }$ State Estimation for PDT-Switched Coupled Neural Networks Under Round-Robin Protocol: A Cooperation-Competition-Based Mechanism

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IEEE Transactions on Network Science and Engineering 2022年第2期10卷 911-921页

作者： Hao Shen Yinsheng Song Jing Wang Ju H. Park AnHui Province Key Laboratory of Special Heavy Load Robot Anhui University of Technology Ma'anshan China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China School of Information Science and Engineering East China University of Science and Technology Shanghai China Department of Electrical Engineering Yeungnam University Kyongsan Republic of Korea

This paper is concentrated on the $\mathcal {H_{\infty }}$ state estimation problem for switched coupled neural networks based on a Takagi-Sugeno fuzzy model. Notably, the time-variant network topology with alternate fast switchings and slow ones is described suitably by a persistent dwell-time rule, and the interactive dynamics with both cooperative properties and antagonistic ones among nodes are featured comprehensively by the switching signed graph. In view of the communication pressures brought by network-induced problems and the requirements in digital control, the round-robin protocol and logarithmic quantization are flexibly integrated for more transmission efficiency and fewer data collisions. Thereafter, by utilizing a relaxed multiple Lyapunov function method and some novel matrix process techniques, sufficient criteria guaranteeing the exponential stability in a globally uniform sense with a prescribed $\mathcal {H_{\infty }}$ performance level of the estimation error system are established. Finally, the synthesized analysis of the proposed method is presented with an illustrative example.

关键词： Switches Topology Switching circuits Protocols Neurons State estimation Quantization (signal)

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Dynamic modeling and tracking control of fuel filled space robotic system with flexible manipulators

Dynamic modeling and tracking control of fuel filled space r...

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International Symposium on Systems and control in Aerospace and Astronautics (ISSCAA)

作者： Xinxin Yang Xiong Luo Fuchun Sun Fengge Wu Huaping Liu School of Information Engineering Key Laboratory of Advanced Control of Iron and Steel Process (Ministry of Education) University of Science and Technology Beijing Beijing China State Key Laboratory of Intelligent Technology and System Department of Computer Science and TechnologyTsinghua National Laboratory for Information Science and Technology Tsinghua University Beijing China

In recent years, dynamics model and control of space robot system are the hot topics in the research field. In this paper, a new dynamics model and control strategy of space robotic system with a flexible manipulator and a liquid fuel tank are investigated. Based on Lagrange equation method, the dynamics model of the space robotic system coupling with liquid sloshing, flexibility vibration and base movement is derived. The elastic deflection of the flexible manipulator is described by the assumed mode method and equivalent mechanical model is adopted instead of liquid sloshing under the environment of low-gravity. The inverse dynamics control algorithm combined with PD control method is performed to solve the trajectory tracking problem. Some simulation results are given to verify the effectiveness of the proposed method.

关键词： Mathematical model Aerospace electronics Manipulator dynamics Equations Space vehicles

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Estimator design of networked control systems with multi-quantized output feedback

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Zhongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Central South University (Science and Technology) 2011年第SUPPL. 1期42卷 333-338页

作者： Liu, Jun Xie, Lin-Bo Huang, Fang Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Institute of System Engineering Jiangnan University Wuxi 214122 China

The estimator design of discrete-time networked control systems with multi-quantized output feedback is concerned. First, the system model and the estimate model of multi-quantized network control system with two quantizers are given, respectively. Then the asymptotic invariance of the covariance matrix about the estimation error system is studied, and some corresponding conclusions are obtained. The estimator error is made minimum by the designed state estimator. At last, a numerical example is given to illustrate the effectiveness of the estimator.

关键词： Feedback

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Stochastic gradient parameter estimation of input nonlinear systems using the filtering technique

Stochastic gradient parameter estimation of input nonlinear ...

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International Symposium on advanced control of Industrial processes (ADCONIP)

作者： Dongqing Wang Feng Ding Shouqing Sun College of Automation Engineering Qingdao University of China Qingdao China Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Engineering Jiangnan University Wuxi China Qingdao Hismile College Qingdao China

For input nonlinear output error moving average systems with a two-segment piecewise nonlinearity, a data filtering based stochastic gradient algorithm is developed to estimate the parameters of this nonlinear system based on the data filtering. The basic idea is to combine the key-term separation principle and the data filtering technique, and to decompose the identification model into two models. The simulation results indicate that the proposed algorithm can give more accurate parameter estimates than existing extended stochastic gradient algorithm.

关键词： Stochastic processes Signal processing algorithms Mathematical model Computational modeling Nonlinear systems Parameter estimation Digital signal processing

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Integrated model of a hot rolling mill based finite element analysis and neural networks

Beijing Keji Daxue Xuebao/Journal of University of Science a...

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Beijing Keji Daxue Xuebao/Journal of University of Science and Technology Beijing 2011年第2期33卷 221-226页

作者： Hu, Chang-Bin Tong, Chao-Nan Peng, Kai-Xiang Key Laboratory of the Ministry of Education of China for Advanced Control of Iron and Steel Process University of Science and Technology Beijing Beijing 100083 China

According to production data of a 1580 rolling mill, an integrated method combining finite element analysis and neural networks was presented for hot rolling. In the method, plastic deformation during the rolling process was firstly modeled by a finite element method, and then a neural network provided parameter adjustment for the finite element model, so the integrated model had the advantages of neural network and finite element methods. At the same time, intelligent chaos particle swarm optimization (CPSO) was used to optimize weights and thresholds of the network. A comparison between simulation results and actual production data proved the validity of the integrated model.

关键词： Finite element method

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Si-based HIT solar cells via a single-chamber ICP system

Si-based HIT solar cells via a single-chamber ICP system

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第九届中国太阳级硅及光伏发电研讨会

作者： Zhou Haiping Xu Shuyan Xiao Shaoqing Xiang Yong Zhang Shu School of Energy Science and EngineeringUniversity of Electronic Science and Technology of ChinaChen Nanyang Technological University NIE and IASNanyang walk 1637616Singapore Key Laboratory of Advanced Process Control for Light Industry(Ministry of education) Department of E

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Projection-Based Iterative Learning control for Linear Systems With Flexible Tasks

Projection-Based Iterative Learning Control for Linear Syste...

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Youth Academic Annual Conference of Chinese Association of Automation (YAC)

作者： Luyuan Gao Zhihe Zhuang Shanglei Guan Hongfeng Tao Jier Qiu Wojciech Paszke Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University Wuxi China Tiandi (Changzhou) Automation Co. Ltd. Changzhou China Institute of Automation University of Zielona Gora Zielona Gora Poland

ISBN: (数字)9798350379228

ISBN: (纸本)9798350390780

In practical applications of iterative learning control (ILC), the desired trajectory may scale within different time intervals along the iteration axis, leading to the non-uniform trial length problem. To solve the problem, this paper proposes a projection-based ILC algorithm for linear time-varying systems with flexible tasks. Defining the system dynamics in Hilbert space, the performance index to be iteratively optimized is designed through a successive projection strategy. Based on this performance index, a norm optimal ILC algorithm is obtained, and the convergence analysis of the proposed algorithm is given. Finally, the effectiveness of the proposed algorithm is verified by numerical simulation of a gantry robot.

关键词： System dynamics Heuristic algorithms Hilbert space Trajectory Performance analysis Task analysis Time-varying systems

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Improved spectral model building for using ATR-FTIR spectroscopy to measure solution concentration during cooling crystallization

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IFAC-PapersOnLine 2022年第7期55卷 833-838页

作者： Jingxiang Liu Tao Liu Yan Cui Xiaojing Pei School of Marine Electrical Engineering Dalian Maritime University Dalian 116026 P. R. China Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Dalian 116024 P. R. China Institute of Advanced Control Technology Dalian University of Technology Dalian 116024 P. R. China

To ensure in-situ measurement accuracy on the solution concentration during cooling crystallization process, an improved spectral model building method is proposed in this paper for application of the attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy. The traditional partial least-squares (PLS) model is modified into a functional regression form for expressing the relationship between the input variables of in-situ measured spectra and the output of solution concentration, so as to address the issue of insufficient samples for model calibration with respect to the high-dimension of spectral variables for measurement. The widely used DB4 wavelet functions are taken as basis functions to approximate the smooth functions in the proposed functional regression model, by virtue of their multi-scale and orthogonal properties to procure good accuracy. Accordingly, a parameter estimation algorithm named wavelet partial-least-squares is proposed for the spectral model calibration. The application to measure the solution concentration of L-glutamic acid (LGA) cooling crystallization process well demonstrates the effectiveness and merit of the proposed method.

关键词： wavelet functional partial least-squares in-situ measurement by ATR-FTIR spectroscopy cooling crystallization process spectral calibration model

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