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Decentralized flocking of multi-robot systems with connectivity maintenance

Kongzhi Lilun Yu Yingyong/control Theory and Applications 2014年第10期31卷 1393-1403页

作者： Mao, Yu-Tian Chen, Jie Fang, Hao Dou, Li-Hua Key Laboratory of Intelligent Control and Decision of Complex Systems School of Automation Beijing Institute of Technology Beijing100081 China

Connectivity maintenance of flocking is vital for stability and fast state convergence of the entire multirobot system. To this end, the problem of flocking of multiple nonholonomic wheeled mobile robots with connectivity maintenance on directed communication graphs is investigated, provided that the initial network is strongly connected but not balanced. First, a new class of smooth and bounded artificial potential fields is developed to satisfy the requirements of connectivity maintenance, collision avoidance and distance stabilization, simultaneously. Furthermore, by combining potentialbased gradient control techniques and the consensus seeking control schemes, we propose a set of smooth and bounded control protocols for leaderless flocking or flocking with local leader-follower with connectivity maintenance. Those control protocols not only avoids the chattering and saturation caused by the discontinuous/nonsmooth and unbounded flocking algorithms, but also extend the traditional connectivity-preserving flocking algorithms for both the individual motion model and the network topology types. Finally, nontrivial simulations and experiments are performed to validate the effectiveness of the proposed smooth and bounded control strategies. ©, 2014, South China University of Technology. All right reserved.

关键词： Multipurpose robots

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Construction of Barrier in a Fishing Game with Point Capture

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IEEE Transactions on Cybernetics 2017年第6期47卷 1409-1422页

作者： Zha, Wenzhong Chen, Jie Peng, Zhihong Gu, Dongbing School of Automation Beijing Institute of Technology Beijing100081 China Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing100081 China School of Computer Science and Electronic Engineering University of Essex ColchesterCO4 3SQ United Kingdom

This paper addresses a particular pursuit-evasion game, called as 'fishing game' where a faster evader attempts to pass the gap between two pursuers. We are concerned with the conditions under which the evader or pursuers can win the game. This is a game of kind in which an essential aspect, barrier, separates the state space into disjoint parts associated with each player's winning region. We present a method of explicit policy to construct the barrier. This method divides the fishing game into two subgames related to the included angle and the relative distances between the evader and the pursuers, respectively, and then analyzes the possibility of capture or escape for each subgame to ascertain the analytical forms of the barrier. Furthermore, we fuse the games of kind and degree by solving the optimal control strategies in the minimum time for each player when the initial state lies in their winning regions. Along with the optimal strategies, the trajectories of the players are delineated and the upper bounds of their winning times are also derived. © 2013 IEEE.

关键词： Optimal systems

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Brain Storming Optimization Algorithm for Heating Dispatch Scheduling of Thermal Power Plant 29

Brain Storming Optimization Algorithm for Heating Dispatch S...

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第29届中国控制与决策会议

作者： Lu Kang Yali Wu Xinrui Wang Xiaohua Feng School of Automation and Information Engineering Xi'an University of Technology Shannxi Province Key Laboratory of Complex System Control and Intelligent Information Processing School of Marine Science and Technology Northwestern Polytechnical University

ISBN: (纸本)9781509046584

In the traditional scheduling mode of the current thermal power plants,only the power load distribution of the unit was *** there was no enough guidance to the heat source *** can not meet the current energy-saving and emission-reduction *** this paper,an optimal heat load dispatching model is set up under the premise of power load distribution of thermal power *** kinds of heat loads including to high-pressure,medium-pressure and low-pressure are taken into account in the scheduling *** to the characteristics of the problem,Brain Storming Optimization(BSO) algorithm is used to get the optimal distribution *** comparison with the original scheme shows the correctness of the model and the optimization ***,the optimization ability and effectiveness of brain storming optimization algorithm in solving complex optimization problems are verified by comparing the proposed algorithm with the other different optimization algorithms,such as Particle Swarm Optimization(PSO) and Differential Evolution(DE) algorithm.

关键词： Heating Dispatching Brain Storming Optimization Algorithm Load Distribution

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Efficient Multi-Robot Coverage of an Unknown Environment

Efficient Multi-Robot Coverage of an Unknown Environment

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第40届中国控制会议

作者： Zihao Chen Zhihong Peng Lei Jiao Yuanyuan Gui School of Automation Beijing Institute of Technology China State Key Laboratory of Intelligent Control and Decision of Complex System

This paper discusses the complete area coverage of multi-robots in unknown environments. Finding the optimal solution for the problem of area coverage with multiple robots has been proven to be NP-hard. This paper proposes the Multiagent Node Backtracking Area Coverage（MANBAC） algorithm, which uses improved BCD local area coverage method, and the node backtracking method that is based on the A* algorithm to achieve complete coverage of the entire unknown *** with the area coverage of a single robot, use multi robots can greatly improve the efficiency of area *** with the existing coverage algorithms in known area, this study can be applied to a wider range of area scenarios which are not known.

关键词： Area coverage Unknow environment Multirobot

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Resource Scheduling Base on Bayesian Cramer-Rao Lower Bound for Multi-Target Tracking in Netted Colocated MIMO Radar systems

Resource Scheduling Base on Bayesian Cramer-Rao Lower Bound ...

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第40届中国控制会议

作者： Sijian Liao Zhihong Peng Junqi Cai School of Automation Beijing Institute of Technology China State Key Laboratory of Intelligent Control and Decision of Complex System

In this paper, an effective joint beam selection and power allocation（JBSPA） method is proposed to solve the online resource scheduling problem for multi-target tracking in distributed MIMO radar system. Overall target tracking performance can be improved by optimizing radar system beam selection and power allocation, since each MIMO radar can generate a timevarying beam, and adjust the quality of the observed signal by controlling the transmit power of each beam. In our method the feedback information of the target tracking period is used to complete the optimal radar-targets assignment and power allocation,the objective function is formulated based on the Bayesian Cramér-Rao lower bound, as the formulated JBSPA problem is nonconvex, a three steps solution method based on reward matrix is proposed to solve it effectively. Numerical results show that the proposed JBSPA method can deliver better performance than the competitors in overall MTT performance.

关键词： Resource Scheduling BCRLB Target Tracking Power Allocation MIMO Radar systems

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Decentralized control for Arbitrarily Interconnected systems over Lossy Network

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自动化学报 2010年第9期36卷 1321-1327页

作者： LI Hui School of Automation Beijing Institute of TechnologyBeijing 100081P.R.China Key Laboratory of Complex System Intelligent Control and Decision Ministry of EducationBeijing 100081P.R.China

This paper deals with the control of arbitrarily topological interconnected systems where information communicated between subsystems may be lost due to unreliable links. First, the stochastic variable that is responsible for the communication status of lossy network is regarded as a source of model uncertainty. The system is modeled in the framework of linear fractional transformation with a deterministic nominal system and a stochastic model uncertainty. Then, the robust control theory is employed for system analysis. The largest probability of communication failure, tolerated by the interconnected systems keeping mean square stable, can be obtained by solving a μ synthesis optimization problem. Decentralized state feedback controllers are designed to ensure that the whole system is mean square stable for a given communication failure rate, based on the technique of linear matrix inequalities. An illustrative example is presented finally to verify the effectiveness of the proposed model and method

关键词：拓扑子系统通信故障率随机变量

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Kinematics analysis and trajectory planning of a multiarm medical robot assisted maxillofacial surgery

Kinematics analysis and trajectory planning of a multiarm me...

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6th International Conference on complex Medical Engineering, CME 2012

作者： Chen, Chao Duan, Xing-Guang Wang, Xing-Tao Zhu, Xiang-Yu Li, Meng Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of Education State Key Laboratory of Intelligent Control and Decision of Complex System School of Mechatronical Engineering Beijing Institute of Technology #5Zhongguancun South Street Haidian Beijing China China

ISBN: (纸本)9781467316163

As the complex anatomical structure of the maxillofacial region, the surgery in this area is high risk and difficult to implement. Then, a multi-arm medical robot assisted maxillofacial surgery using optical navigation was proposed in this paper, which can improve surgical precision and make the doctors away from the heavy manual work. In this paper, the medical robot system and mechanical structure of the robot were introduced. Forward kinematics and inverse kinematics were analysed. Then trajectory planning using quintic polynomial interpolation for smoothly motion was adopted, and rectilinear motion in Cartesian space was adopted. The kinematics was validated and the workspace of the robot was calculated by simulations. Finally, the robot model was established and an experiment was carried out which proved the robot run smoothly and positioned accurately. © 2012 IEEE.

关键词： Inverse kinematics

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Large Receptive Field Boundary Matching Networks for Generating Better Proposals

Large Receptive Field Boundary Matching Networks for Generat...

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第40届中国控制会议

作者： Lei Xu Jiexi Liu Bo Chen Beijing Institute of Technology School of Automation Key Laboratory of Complex System Intelligent Control and Decision

Temporal Action Detection is a research hotspot in Video *** is necessary not only to give the specific moments of the beginning and end of each action instance in the video,but also to give the category of the action *** present,most of the methods in temporal action detection are divided into two steps:The video is divided into a series of video clips to determine whether each clip is an action instance,and the fragments that are not an action instance are deleted;Segments that may be action instances are then classified to get the final *** present,the difficulties in action detection research mainly include the following two points:1) The boundary is not *** from action recognition,action detection requires precise positioning,but an action in life is often not very *** is also the reason why the mean average precision(mAP) of action detection is low at present.2) The time span is *** life,an action often spans a very long *** movements such as waving can last for a few seconds,while long movements such as rock climbing or cycling can last for tens of minutes,which makes it extremely difficult for us to extract *** view of the above difficulties,this paper proposes a large receptive field boundary matching network(LRFBMN) model which takes advantage of the relationship between proposals to improve the accuracy of proposal *** model is mainly divided into two parts:1) Clipping feature map is processed by large kernel convolution,and then proposal feature is generated by ROI-pooling;2) The proposals are arranged in a certain order to form a fixed graph,and the information exchange between graph nodes is realized by using convolution with *** experiments,this model is 2.35% higher than baseline and 1.06% higher than state-of-the-art in THUMOS14 data set.

关键词： Temporal Action Detection Video Understanding Proposal Large Receptive Field

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Data yard based system effectiveness evaluation and decision support method

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Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology 2014年第1期36卷 124-130页

作者： Chen, Chen Wang, Yun School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing 100081 China

With the development of information technology, the increase of system information brings new problems to the military system effectiveness evaluation. Aiming at nonlinear, high dimension and strong coupling data of system effectiveness analysis, a data yard based system effectiveness evaluation and decision support method was proposed. Data recovery, subtraction, refinement and reconstruction operations were applied to the simulation data processing, then a data yard cube was built up to meet the multiple demands for system analysis of different levels and data dependency were reduced. Taking task-oriented networked fire control system for example, its system effectiveness evaluation, timeliness evaluation and indices analysis were carried out, and practicability and validity of the method were verified in three levels. Applying data mining technology to the simulation system effectiveness evaluation decision-making, makes it get more extensive application.

关键词： Data mining

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PI Tuning and Optimization for Speed control of PMSM Based on Multivariable Sliding-Mode Extremum Seeking

PI Tuning and Optimization for Speed Control of PMSM Based o...

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第34届中国控制与决策会议

作者： Fan Li Wei Shen Chuanyu Ge Key Laboratory of Complex System Intelligent Control and Decision School of AutomationBeijing Institute of Technology

ISBN: (纸本)9781665478977

The PI controller is the most basic and widely used for the permanent magnet synchronous motor speed *** cumbersome parameter adjustment process makes it difficult for the PI controller to balance convenience and *** this end,this paper presents a new PI tuning and optimization scheme based on multivariable sliding-mode extremum ***,by analyzing the frequency domain model of permanent magnet synchronous motor,the analytical calculation formulas of controller parameters and motor parameters are derived as the initial value of PI parameter ***,a multivariable sliding-mode extremum seeking optimizer is designed to optimize the control parameters by minimizing the cost function based on the feedback error *** feasibility of the above scheme is proved by theoretical derivation,and the simulation and experimental results also verify the feasibility and effectiveness of the proposed method.

关键词： permanent-magnet synchronous motor(PMSM) multivariable sliding mode extremum seeking(MSME) self-tuning parameter optimization

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