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检索条件"机构=State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems and Control"

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Phototherapy: Metal–Organic‐Framework‐Derived Mesoporous Carbon Nanospheres Containing Porphyrin‐Like Metal Centers for Conformal Phototherapy (Adv. Mater. 38/2016)

引用

Advanced Materials 2016年第38期28卷

作者： Shunhao Wang Lu Shang Linlin Li Yingjie Yu Chongwei Chi Kun Wang Jie Zhang Run Shi Heyun Shen Geoffrey I. N. Waterhouse Sijin Liu Jie Tian Tierui Zhang Huiyu Liu Beijing Key Laboratory of Bioprocess Beijing Advanced Innovation Center for Soft Matter Science and Engineering Beijing Laboratory of Biomedical Materials Beijing University of Chemical Technology Beijing 100029 P. R. China Key Laboratory of Photochemical Conversion and Optoelectronic Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences Beijing 100190 P. R. China State Key Laboratory of Environmental Chemistry and Ecotoxicology Research Center for Eco‐Environmental Sciences Chinese Academy of Sciences Beijing 100085 P. R. China University of Chinese Academy of Sciences Beijing 100049 P. R. China Beijing Institute of Nanoenergy and Nanosystems National Center for Nanoscience and Technology (NCNST) Chinese Academy of Sciences Beijing 100083 P. R. China Department of Materials Science and Engineering State University of New York at Stony Brook Stony Brook NY 11790 USA Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China School of Chemical Sciences The University of Auckland Auckland 1142 New Zealand

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Active disturbance rejection control of servo platform using improved nonlinear control law

Active disturbance rejection control of servo platform using...

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International Conference on Intelligent control and Information Processing (ICICIP)

作者： Hang Zhang State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology Beijing China

ISBN: (纸本)9781479936519

A new kind of nonlinear control law is proposed for the purpose of improving servo platform tracking performance under condition of rapid movement. On the basis of linear ADRC, an arctangent function is selected, and smoothly extended to an anti-S curve. The new method retains the feature of estimating and compensating the internal un-modeled dynamics and external disturbances. Simulation and comparison tests show that system using new control method has faster and more accurate tracking results.

关键词： PD control Servomotors Tuning Mathematical model Observers Hardware

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On Parameter Convergence of Nonlinearly Parameterized Adaptive systems: Analysis via Contraction and First Lyapunov's Methods

On Parameter Convergence of Nonlinearly Parameterized Adapti...

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IEEE Annual Conference on Decision and control

作者： Lei Wang Romeo Ortega Hongye Su Zhitao Liu Weihua Xu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University 310027 Hangzhou P.R.China Laboratoire des Signaux et Systemes CNRS UMR 8506 Supelec 91192 Gif sur Yvette France

ISBN: (纸本)9781467360890

Adaptive systems have been traditionally analyzed using classical second Lyapunov's method and/or passivity theory. These powerful tools permit the establishment of conditions for convergence and stability (asymptotic and L_2) of adaptive estimators and controllers. A natural, alternative framework to analyze adaptive systems invokes the notion of (flow) contraction, which imposes that some distance between any pair of solutions is monotonically decreasing with time. In this paper we investigate the contraction properties of adaptive systems designed following the principles of immersion and invariance. In particular, we use contraction theory and a recent extension of first Lyapunov's method to give conditions under which adaptive estimators and controllers--designed for nonlinearly parameterized, nonlinear systems--ensure exponential parameter convergence.

关键词： Convergence Adaptive control Stability analysis Trajectory Manifolds Lyapunov methods

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Moving horizon H8 control of variable speed wind turbines with actuator saturation

Moving horizon H8 control of variable speed wind turbines wi...

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作者： Ma, Miaomiao Chen, Hong Liu, Xiangjie Allgöwer, Frank Beijing Key Laboratory of New Technology and System on Measuring and Control for Industrial Process North China Electric Power University No. 2 Beinong Road Huilongguan Changping District Beijing 102206 China Institute for Systems Theory and Automatic Control University of Stuttgart Pfaffenwaldring 9 Stuttgart 70550 Germany Department of Control Science and Engineering Jilin University Campus NanLing Renmin Strasse 5988 Changchun 130025 China

This study suggests a moving horizon H8 control scheme for variable speed wind turbines above the rated wind speed to maintain the output power at the rated value for variable operating points. A constrainedH8 control problem is solved at each sampling time with the update of not only the initial condition but also the prediction model based on different operating points. Closed-loop properties inclusive of L2 disturbance attenuation are discussed in the framework of dissipation theory. The moving horizon H8 control considers the non-linear dynamic aspect of the wind turbine, the turbulent nature of the wind and actuator saturations. Analysis and simulation results for WD34 wind turbine show possible improvements on the output electrical power regulation performance for variable operating points, while respecting actuator saturation limits. © The Institution of Engineering and technology 2014.

关键词： Wind turbines

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Weighting Matrices Design for LQG controller Based on Data-driven Economic Performance PSO

Weighting Matrices Design for LQG controller Based on Data-d...

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第25届中国控制与决策会议

作者： SHI Minghua XIE Lei GUO Zixu State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University

ISBN: (纸本)9781467355339

Aiming at the difficulty of weighting matrices design for LQG controller, a data-driven economic performance PSO algorithm is presented in this paper. The method introduces a subspace approach to obtain the process characteristics and the explicit functional relationship between the manipulation variance and the output variance, which solves the LQG benchmark problem directly. The PSO algorithm based on the results of economic performance assessment subsequently realizes the accurate optimization of the LQG weighting matrices. The proposed approach is illustrated and verified through a simulation example.

关键词： subspace identification, LQG, economic performance assessment, weighting matrics design

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Teleoperation of a Virtual iCub Robot under Framework of Parallel System via Hand Gesture Recognition

Teleoperation of a Virtual iCub Robot under Framework of Par...

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IEEE International Conference on Fuzzy systems

作者： Chen Li Hongbin Ma Chenguang Yang Menyin Fu School of Automation as well as State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781479920747

This paper describes our preliminary development of a virtual robot teleoperation platform based on hand gesture recognition using visual information. Hand gestures in images captured by a camera are recognised to control a virtual iCub. We employ two methods to realise the classification: Adaptive Neuro-fuzzy Inference systems (ANFIS) and Support Vector Machines (SVM). We realise the teleoperation of a virtual robot using iCubSimulator. The technique in the paper will enable us to teleoperate a physical robot in the future work. In addition, a video server is set up to monitor the real robot. By using the parallel system we are able to improve the robot's performance. Based on the techniques presented in this paper, the virtual iCub can perform the specified actions remotely in a natural manner.

关键词： Solid modeling Mathematical model MATLAB Robot kinematics Gesture recognition Fuzzy logic

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Improving Constraint Handling for Multiobjective Particle Swarm Optimization

Improving Constraint Handling for Multiobjective Particle Sw...

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第三十三届中国控制会议

作者： Erdong Yu Qing Fei Hongbin Ma Qingbo Geng School of Automation Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology

ISBN: (纸本)9781479947249

In this paper,a novel particle swarm algorithm for solving constrained multiobjective optimization problems is *** new algorithm is able to utilize valuable information from the infeasible region by intentionally keeping a set of infeasible solutions in each *** enhance the diversity of these preserved infeasible solutions,a modified version of adaptive grid is *** addition,a voting mechanism is designed to balance the preference of infeasible solutions with smaller constraint violation and the exploration of the infeasible *** effectiveness of the proposed method is validated by simulations on several commonly used benchmark *** using the hypervolume indicator,it is shown that the proposed algorithm is more powerful than two other state-of-the-art algorithms.

关键词： multiobjective,constraint handling,particle swarm optimization,adaptive grid,voting mechanism

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Modeling and H∞ composite control of the coupled hysteretic dynamics in piezoelectric micro-displacement systems

Modeling and H∞ composite control of the coupled hysteretic...

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International Conference on Informatics in control, Automation and Robotics (ICINCO)

作者： Liang Tang Lei Liu Xin Guan Beijing Institute of Control Engineering National Laboratory of Space Intelligent Control Beijing China State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology Dalian China

This paper investigates the modeling and H ∞ composite control of the coupled hysteretic dynamics in a piezoelectric micro-displacement system (PMS). First, the coupled multi-field hysteretic dynamics with physical meanings is presented for PMS. Next, the composite control analysis of the hysteretic dynamics is proposed. Then, a H ∞ synthesis controller is designed by using the simplified hysteretic dynamics. To enhance the H ∞ performance, the inversion-based feedforward compensation is augmented. The proposed H ∞ feedback control and the inversion-based feedforward can be designed separately. Finally, the experimental studies are provided to demonstrate the proposed H ∞ composite control approach.

关键词： Creep Hysteresis Vibrations Mathematical model Feedforward neural networks Dynamics

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ACP based self-learning control for urban intersection

ACP based self-learning control for urban intersection

引用

2014 IEEE International Conference on Service Operations and Logistics,and Informatics

作者： Feng Chen Lingyun Zhu Chuyue Han Gang Xiong University of Science and Technology of China State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences

The intersection models,such as delay models and queuing length models,are the foundations of optimal signal timing for urban *** of the field data of intersection,it is highly difficult to calibrate parameters of the intersection *** to the effects of intersection topology,channelization and traffic conditions on these models,obviously it is impossible for single model to be suitable for optimal control of various *** is emerging technique for Intelligent Traffic systems(ITS).It provides an effective means for problem-solving of complex traffic issues by constructing artificial system which is consistent with corresponding real *** on ACP approach,we propose a self-learning optimal control strategy for typical *** this approach,optimal control policy is found by systematic interaction with the traffic environment,so as to adapt dynamic traffic conditions and different intersection ***,according to traffic characteristics analysis of intersection,joint control of all approaches can be reduced to optimal control of only one ***,the computational and storage complexities are decreased *** experiment results demonstrate that our approach has considerably lower average delay and higher traffic capacity of intersection than these optimal control methods which are respectively based on HCM2000 and Webster models.

关键词： HCM agent ACP based self-learning control for urban intersection

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controllability Analysis of Networked control systems with Packets Loss

Controllability Analysis of Networked Control Systems with P...

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第三十二届中国控制会议

作者： LIN Hong SU Hongye XU Yong State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Department of Information and Technology Concord University College Fujian Normal University

ISBN: (纸本)9789881563835

The problem of controllability and control strategy for a class of Networked control systems (NCSs) with packets loss are studied in this paper. A probabilistic controllability conception is proposed for these systems. In order to analyze the probabilistic controllability and relevant properties, a representation of the initial state by a group of constructive base of linear space is introduced. Based on this representation the affects to control system caused by packets loss can be expressed by system substates. A control strategy is developed to guarantee, the controllability of NCSs, and the minimum control steps property of this control strategy is discussed as well. Finally, a necessary and sufficient condition of probabilistic controllability for NCSs with packets loss is represented.

关键词： controllability, Networked control systems, Packets loss, Minimum control steps

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