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From Parallel Plants to Smart Plants:intelligent control and Management for Plant Growth

IEEE/CAA Journal of Automatica Sinica 2017年第2期4卷 161-166页

作者： Mengzhen Kang Fei-Yue Wang State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences (SKL-MCCSCASIA) Qingdao Academy of Intelligent Industries Beijing Engineering Research Center of Intelligent Systems and Technology 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

Precision management of agricultural systems, aiming at optimizing profitability, productivity and sustainability, comprises a set of technologies including sensors, information systems, and informed management, etc. Expert systems are expected to aid farmers in plant management or environment control, but they are mostly based on the offline and static information, deviated from the actual situation. Parallel management, achieved by virtual/artificial agricultural system, computational experiment and parallel execution, provides a generic framework of solution for online decision support. In this paper, we present the three steps toward the parallel management of plant: growth description U+0028 the crop model U+0029, prediction, and prescription. This approach can update the expert system by adding learning ability and the adaption of knowledge database according to the descriptive and predictive model. The possibilities of passing the knowledge of experienced farmers to younger generation, as well as the application to the parallel breeding of plant through such system, are discussed. © 2017 Chinese Association of Automation.

关键词： Agriculture Artificial intelligence decision support systems Expert systems Sustainable development

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Distributed Full Order Sliding Mode control for Finite-time Attitude Synchronization and Tracking of Spacecraft

Distributed Full Order Sliding Mode Control for Finite-time ...

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第37届中国控制会议

作者： Nsubuga Latifu Zhuoyue Song Chao Duan Zhen Li Housheng Su Qinghe Wu Xiangdong Liu State Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Key Laboratory of Drive and Control of Servo Motion System Ministry of Industry and Information Technology School of Automation Huazhong University of Science and Technology

This paper investigates a distributed finite-time attitude synchronization and tracking problem of multiple spacecraft when a time varying reference signal is available to only a subset of group *** Rodrigues parameters are used for attitude representation.A two layer sliding mode surface with fast non-singular terminal sliding mode surface（FNTSMS） as the inner layer and terminal sliding mode surface（TSMS） as the outer layer is used to create a full order sliding mode *** proposed distributed attitude coordination control law guarantees attitude synchronization and tracking as long as their exists atleast one spacecraft that has a direct access to the virtual leader’s time varying ***-time stability of the closed loop system is guaranteed by Lyapunov-based stability *** results are presented to validate the performance of the proposed control strategy.

关键词： Attitude synchronization Attitude tracking Finite-time Full-order sliding mode（FOSM） Distributed control

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Event-Trigger Extended Kalman Filter Design for Distributed Generation Network with Limited Communication 36

Event-Trigger Extended Kalman Filter Design for Distributed ...

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第36届中国控制会议

作者： Xing Xin Luyu Li Sen Li Zhen Li Jian Li Zhen Chen Xiangdong Liu Beijing Institute of Electronic System Engineering School of Automation & Key Laboratory for Intelligent Control & Decision on Complex Systems Beijing Institute of Technology

ISBN: (纸本)9781538629185

For distributed generation(DG) network, it is important to estimate the real-time states. The information-centric networking(ICN) is established to take charge of the communication of DG network. However, the assumption of ideal communication between sensors and the estimation center cannot be guaranteed due to the communication constraints of ICN with the increasing DG network. A conventional algorithm, which reduces the communication burden in ICN, is to drop the observation of each smart grid in a random way. However, the accuracy of this algorithm recession decays rapidly with the increasing drop rate. To guarantee an appropriate estimation accuracy when the drop rate increases, this paper introduces the event-trigger strategy into the estimation algorithm. An event-trigger extended kalman filter(ET-EKF) is established in this paper to adapt the nonlinearity of DG system. ET-EKF reduces the communication burden and achieves an appropriate estimation accuracy at the same time. Finally, its feasibility and performance are demonstrated using the standard IEEE 39-bus system with phasor measurement units(PMUs).

关键词： Event-trigger extended Kalman filter(ET-EKF) real-time estimation distributed generation network smart grids phasor measurement unit(PMU)

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Artificial Intelligence Course Design: ISTREAM-based Visual Cognitive Smart Vehicles

Artificial Intelligence Course Design: ISTREAM-based Visual ...

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2018 IEEE intelligent Vehicles Symposium, IV 2018

作者： Gong, Xiaoyan Wu, Yilin Ye, Zifan Liu, Xiwei State Key Laboratory of Management and Control for Complex Systems Beijing100190 China Intelligent Education Institute Qingdao Academy of Intelligent Industries Qingdao266071 China Beijing NO. 13 School Beijing100088 China NO.2 High School Beijing Normal University Beijing100088 China

ISBN: (纸本)9781538644522

New intelligent era calls for new learners and thus urgently needs a series of artificial intelligence. As a good educational platform for teaching artificial intelligence, smart cars have aroused concern and practices of all parties. However, at present, most courses and training pay more attention to basic knowledge and technology of smart cars, seldom to training based on artificial intelligence curriculum system and comprehensive competency integrating science, technology, art and management. Therefore, based on concept of iSTREAM (intelligence for Science, Technology, Robotics, Engineering, Art, and Management) and Raspberry intelligent vehicle teaching platform, this paper introduced a smart car-themed artificial intelligence courses including basic courses, specialized courses, specialized technical courses and elective courses. This course can guide learners to develop smart cars based on visual cognition, in-depth learning, VR and 3D printing integrated artistic creativity. It combines disciplines such as science, technology, art, games and management to upgrade a single knowledge and technology course into a comprehensive competency course that integrates knowledge, skills, emotion and management. Practice in Beijing NO.13 and NO.101 High School shows that this course allows students to experience scientific research process, learn artificial intelligence related knowledge and skills, understand scientific way of thinking and scientific research methods, stimulate learners' responsibility and scientific passion, and cultivate leadership skills through self-learning and partly project management. © 2018 IEEE.

关键词： Project management

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Evolutionary Design of controllers with Optimized Structure and Its Application in a Maglev Ball control System 36

Evolutionary Design of Controllers with Optimized Structure ...

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第36届中国控制会议

作者： Zhan Jiaoyang Xin Bin Chen Jie School of Automation Beijing Institute of Technology Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology

ISBN: (纸本)9781538629185

In order to realize the flexible automatic design of controllers, this paper proposes a library-based controller design method with bi-level optimization of structure and parameters. The controller with optimized structure is composed by components which are selected from a component library. A binary string is used to express a controller structure, where each bit represents the connection relationship between two links. The controller structure and parameters are optimized in a hierarchical manner by the binary Geometric Differential Evolution Algorithm in the outer layer and an advanced Differential Evolution algorithm variant named JADE in the inner layer, respectively. Simulation and experiment of a magnetic levitation ball control system have been done to verify the performance of the presented controller. Results demonstrate the feasibility and superiority of the proposed method.

关键词： Optimal Design of controllers Structural Optimization Library-based controller Design intelligent Optimization Differential Evolution

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An algorithm for Quadruped Robot’s Inverse Kinematic Problems Based on PSO

An algorithm for Quadruped Robot’s Inverse Kinematic Proble...

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第37届中国控制会议

作者： Wei Shen Min Li Junzheng Wang Changkun Chai Wen Zheng Key Laboratory of Intelligent Control and Decision of Complex Systems School of AutomationBeijing Institute of Technology Institute of Software Chinese Academy of Sciences Siemens China LTD

The inverse problem is an essential problem in robot *** order to deal with the inverse kinematic problems of hydraulic quadruped robot,the motion process of a single leg is modeled,simulated and analyzed.A new method based on particle swarm optimization（PSO） is proposed in this paper to overcome low computational efficiency,long calculation time and accumulative *** proposed algorithm is attributed to:1) limit the range of particles initialization;2) select suitable compressibility factors;3) employ linear interpolation method to improve the efficiency of the inverse *** simulation results demonstrate that the developed method can provide enhanced computational efficiency and significantly reduce the calculation time while ensuring the precision requirement,and can also eliminate the accumulative error.

关键词： Inverse kinematics Motion optimization Particle swarm optimization Quadruped robot

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state Estimation and Fault Detection for Nonlinear Dynamic systems

State Estimation and Fault Detection for Nonlinear Dynamic S...

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第37届中国控制会议

作者： Baohua Lu Liping Yan Hongxue Chen Yuanqing Xia Mengyin Fu Bo Xiao Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology School of Information and Communication Engineering Beijing University of Posts and Telecommunications

In practical problems, the dynamic systems are usually nonlinear. In this case, the traditional Kalman filter cannot be used for state estimation or fault detection. The two typical extension based on Kalman filtering framework is the Extended Kalman Filter(EKF) and the Unscented Kalman Filter(UKF). Theoretically speaking, UKF is better than EKF when estimation accuracy is concerned, especially for high degree nonlinear cases. This paper is concerned with the state estimation and fault detection problem for a class of nonlinear dynamic systems. A novel fault detection and analyse method is presented based on the period residual of EKF and UKF. For different kind of faults, mainly, the system parameter error, the sensor/data error, EKF and UKF are used, and the estimation and fault detection effects are compared and analyzed.

关键词： nonlinear system state estimation fault detection parameter error sensor error

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Organizational Management using Software-defined Robots based on Smart Contracts

Organizational Management using Software-defined Robots base...

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2018 IEEE intelligent Vehicles Symposium, IV 2018

作者： Ni, Xiaochun Zeng, Shuai Han, Xuan Yuan, Yong Wang, Fei-Yue State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Qingdao Academy of Intelligent Industries Qingdao China Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Research Center of Military Computational Experiments and Parallel Systems National University of Defense Technology Changsha China

ISBN: (纸本)9781538644522

With the rapid development of social media, fast transition of organizational management modes, as well as the increasing security risks caused by human intervention and operations, the existing organizational management systems suffer a severe problem of lowered efficiency and security. This motivates our research. In this paper, we strive to design a new solution to this problem, via instantiating the traditional PDCA cycle theory and using software robots powered by blockchain and smart contracts. In our framework, blockchain and smart contracts can guarantee privacy-protected, traceable, and tamper-resistant data access, and can also help reduce the human intervention. Based on the PDCA cycle theory, we propose the PDCA closed-loop ecological chain on the basis of blockchain. We also validate our work in a real-world scenario, and the results can prove the effectiveness of our model. © 2018 IEEE.

关键词： Smart contract

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Augmented Marker Tracking for Peri-acetabular Osteotomy Surgery 39

Augmented Marker Tracking for Peri-acetabular Osteotomy Surg...

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39th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Pflugi, Silvio Vasireddy, Rakesh Lerch, Till Ecker, Timo M. Tannast, Moritz Boemke, Nane Siebenrock, Klaus Zheng, Guoyan State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing Institution of Technology Beijing P. R. China Universitat Bern Bern BE CH

ISBN: (纸本)9781509028092

We developed and validated a small, easy to use and cost-effective augmented marker-based hybrid navigation system for peri-acetabular osteotomy (PAO) surgery. The hybrid system consists of a tracking unit directly placed on the patient's pelvis, an augmented marker with an integrated inertial measurement unit (IMU) attached to the patient's acetabular fragment and the host computer. The tracking unit sends a live video stream of the marker to the host computer where the marker's pose is estimated. The augmented marker with the IMU sends its pose estimate to the host computer where we apply sensor fusion to compute the final marker pose estimate. The host computer then tracks the orientation of the acetabular fragment during peri-acetabular osteotomy surgery. Anatomy registration is done using a previously developed registration device. A Kalman filter-based sensor fusion was added to complete the system. A plastic bone study was performed for validation between an optical tracking-based navigation system and our proposed system. Mean absolute difference for inclination and anteversion was 1.63 degrees and 1.55 degrees, respectively. The results show that our system is able to accurately measure the orientation of the acetabular fragment.

关键词： Surgery Navigation Sensor fusion Cameras Pelvis Calibration Streaming media

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A smooth double proximal primal-dual algorithm for a class of distributed nonsmooth optimization problem

arXiv

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arXiv 2018年

作者： Wei, Yue Fang, Hao Zeng, Xianlin Chen, Jie Pardalos, Panos M. School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China Industrial and Systems Engineering University of Florida

This technical note studies a class of distributed nonsmooth convex consensus optimization problem. The cost function is a summation of local cost functions which are convex but nonsmooth. Each of the local cost functions consists of a twice differentiable (smooth) convex function and two lower semi-continuous (nonsmooth) convex functions. We call this problem as single-smooth plus double-nonsmooth (SSDN) problem. Under mild conditions, we propose a distributed double proximal primal-dual optimization algorithm. The double proximal operator is designed to deal with the difficulty caused by the unproximable property of the summation of those two nonsmooth functions. Besides, it can also guarantee that the proposed algorithm is locally Lipschitz continuous. An auxiliary variable in the double proximal operator is introduced to estimate the subgradient of the second nonsmooth function. Theoretically, we conduct the convergence analysis by employing Lyapunov stability theory. It shows that the proposed algorithm can make the states achieve consensus at the optimal point. In the end, nontrivial simulations are presented and the results demonstrate the effectiveness of the proposed algorithm. Copyright © 2018, The Authors. All rights reserved.

关键词： Cost functions

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