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The FES-assisted control for a lower limb rehabilitation robot: simulation and experiment

robotics and Biomimetics 2014年第1期1卷 1-20页

作者： Chen, Yixiong Hu, Jin Peng, Long Hou, Zeng-guang State Key Laboratory of Management and Control for Complex Systems Beijing China

To design a control strategy for iLeg, an exoskeleton robot developed for lower limb rehabilitation aiming at investigating the feasibility of integrating functional electrical stimulation (FES) with robot-based rehabilitation training, an FES-assisted training strategy combined with impedance control, has been proposed in this paper. Through impedance control, an active compliance of the robot is established, and the patient’s voluntary effort to accomplish the training task is inspired. During the training process, the patient’s related muscles are applied with FES which provides an extra assistance to the patient. The intensity of the FES is properly chosen in order to induce a desired active torque which is proportional to the voluntary effort extracted from the electromyography signals of the related muscles using back propagation neural networks. This kind of enhancement serves as a positive feedback which reminds the patient of the correct attempt to fulfill the desired motion. FES control is conducted by a combination of neural network-based feedforward controller and a PD feedback controller. Simulation conducted using Matlab and the experiment with a spinal cord injury subject and a healthy subject have shown satisfactory results which verify the feasibility of this control strategy.

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Synchronization of heterogeneous dynamical networks via distributed impulsive control

Synchronization of heterogeneous dynamical networks via dist...

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作者： He, Wangli Han, Qing-Long Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Centre for Intelligent and Networked Systems Central Queensland University RockhamptonQLD4702 Australia

ISBN: (纸本)9781479940325

This paper studies global synchronization between a heterogeneous dynamical network and a known target trajectory via distributed impulsive control. Synchronization with an error level, called quasi-synchronization, is analyzed by utilizing the time-varying Lyapunov function. Some sufficient quasi-synchronization conditions are presented and explicit expressions of error levels are derived. Furthermore, the effects of the pinning control matrix and the coupling strength are explored. Unlike the continuous pinning feedback control, it is shown that a large coupling strength will destroy synchronization in the present of impulsive controller, which is also verified by our simulations. © 2014 IEEE.

关键词： Synchronization

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control of a Quadruped Robot with Bionic Springy Legs in Trotting Gait

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Journal of Bionic Engineering 2014年第2期11卷 188-198页

作者： Mantian Li Zhenyu Jiang Pengfei Wang Lining Sun Shuzhi Sam Ge State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin 150001 P. R. China Institute of Intelligent Systems and Information Technology University of Electronic Seience and Technology of China Chengdu 610000 P.R. China Department of Electrical and Computer Engineering the National University of Singapore Singapore 117576 Singapore

Legged robots have better performance on discontinuous terrain than that of wheeled robots. However, the dynamic trotting and balance control of a quadruped robot is still a challenging problem, especially when the robot has multi-joint legs. This paper presents a three-dimensional model of a quadruped robot which has 6 Degrees of Freedom （DOF） on torso and 5 DOF on each leg. On the basis of the Spring-Loaded Inverted Pendulum （SLIP） model, body control algorithm is discussed in the first place to figure out how legs work in 3D trotting. Then, motivated by the principle of joint function separation and introducing certain biological characteristics, two joint coordination approaches are developed to produce the trot and provide balance. The robot reaches the highest speed of 2.0 m.s-1, and keeps balance under 250 Kg.m.s-1 lateral disturbance in the simulations. The effectiveness of these approaches is also verified on a prototype robot which runs to 0.83 m.s-1 on the treadmill, The simulations and experiments show that legged robots have good biological properties, such as the ground reaction force, and spring-like leg behavior.

关键词： legged robots locomotion control quadruped robot trotting gait

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Semi-tensor product approach to networked evolutionary games

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control Theory and Technology 2014年第2期12卷 198-214页

作者： Daizhan CHENG Hongsheng QI Fehuang HE Tingting XU Hairong DONG Ins titu te of Systems Science Chinese Academy of Sciences Beijing 100190 China Institute of Astronautics Harbin Institute of Technology Harbin Heilongjiang 150080 China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing 100044 China

In this paper a comprehensive introduction for modeling and control of networked evolutionary games （NEGs） via semi-tensor product （STP） approach is presented. First, we review the mathematical model of an NEG, which consists of three ingredients： network graph, fundamental network game, and strategy updating rule. Three kinds of network graphs are considered, which are i） undirected graph for symmetric games; ii） directed graph for asymmetric games, and iii） d-directed graph for symmetric games with partial neighborhood information. Three kinds of fundamental evolutionary games （FEGs） are discussed, which are i） two strategies and symmetric （S-2）; ii） two strategies and asymmetric （A-2）; and iii） three strategies and symmetric （S-3）. Three strategy updating rules （SUR） are introduced, which are i） Unconditional Imitation （UI）; ii） Fermi Rule（FR）; iii） Myopic Best Response Adjustment Rule （MBRA）. First, we review the fundamental evolutionary equation （FEE） and use it to construct network profile dynamics （NPD）of NEGs. To show how the dynamics of an NEG can be modeled as a discrete time dynamics within an algebraic state space, the fundamental evolutionary equation （FEE） of each player is discussed. Using FEEs, the network strategy profile dynamics （NSPD） is built by providing efficient algorithms. Finally, we consider three more complicated NEGs： i） NEG with different length historical information, ii） NEG with multi-species, and iii） NEG with time-varying payoffs. In all the cases, formulas are provided to construct the corresponding NSPDs. Using these NSPDs, certain properties are explored. Examples are presented to demonstrate the model constructing method, analysis and control design technique, and to reveal certain dynamic behaviors of NEGs.

关键词： networked evolutionary game Fundamental evolutionary equation Strategy profile dynamics Homogeneous/heterogeneous NEG Semi-tensor product of matrices

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Unbiased minimum-variance filtering for systems with randomly multi-step sensor delays

Unbiased minimum-variance filtering for systems with randoml...

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作者： Zhang, Yilian Yang, Fuwen Han, Qing-Long Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Centre for Intelligent and Networked Systems Central Queensland University RockhamptonQLD4702 Australia

ISBN: (纸本)9781479940325

In this paper, a linear unbiased minimum-variance filtering problem is considered for a class of systems with randomly multi-step sensor delays. A new mathematical model is established for the multi-step sensor delays. Different from the augmented method for dealing with delayed systems, a linear unbiased minimum-variance filter design method is proposed without augmenting the state vector, which effectively reduces the filter dimensions. A recursive algorithm for calculating the filter gain matrix is developed. The simulation results illustrate the effectiveness of the proposed method. © 2014 IEEE.

关键词： networked control systems

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A space-saving end-effector with capture and actuation transmission capabilities

A space-saving end-effector with capture and actuation trans...

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IEEE International Conference on robotics and Biomimetics

作者： Jun Wu Shaowei Fan Fenglei Ni Hong Liu State Key Laboratory of Robotics and Systems Harbin Institute of Technology Harbin China

ISBN: (纸本)9781479973989

A space-saving end-effector is designed for small scale manipulator in this paper. The end-effector is equipped with capture and actuation transmission capabilities. Two subsystems are highly integrated systems of mechanics, electronics and sensors. A trefoil shaped capture system is developed for closed envelop. The worm shaft and worm wheels are adopted for the self-locking property, and they are used in a unique manner. Straight path generation of linkage is proposed in the transmission system. The multisensory system and hardware architecture provide the foundation for control strategies. The effectiveness of the end-effector is verified by simulation and the capturing tolerance is obtained.

关键词： Sensors Grippers Couplings Torque Assembly Manipulators Shafts

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An identification procedure for UAV's inner loop modeling 33

An identification procedure for UAV's inner loop modeling

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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Liu, Zun Pei, Hai-Long Zhao, Song-Tao Gao-Xiang, Deng Key Laboratory of Autonomous Systems and Networked Control Ministry of Education South China University of Technology Guangzhou510640 China

ISBN: (纸本)9789881563842

This paper establishes a mathematical model for UAV's inner loop, then based on this model an identification strategy based on CIFER is presented. At the first hand, A subsection procedure is done to obtain the initial value both for the CIFER method and the method this paper will present, then through several iterations between the uncoupled parameters and coupled parameters, the latter are acquired and optimized. At last, by comparison And analysis upon both methods' results, the feasibility and rationality of this method is proved. The result of this paper has laid a solid foundation For inner attitude controller design and identification for the velocity loop of UAVs. © 2014 TCCT, CAA.

关键词： Unmanned aerial vehicles (UAV)

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Cartesian Space Synchronous Impedance control of Two 7-DOF Robot Arm Manipulators

Cartesian Space Synchronous Impedance Control of Two 7-DOF R...

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Minghe Jin Zijian Zhang Fenglei Ni Hong Liu State Key Laboratory of Robotics and systems Harbin Institute of Technology Harbin Heilongjiang 510001 China

ISBN: (纸本)9781479969357

In the paper, a new method named Cartesian Space Synchronous Impedance control (CSSIC) has been developed. The method combines the synchronous control and the impedance control together which can not only be used in the position control but can also realize the purpose of force control of the system with multi-manipulators. Therefore, if there are multi-manipulators grasping the same object, it can ensure the object will not fall and not be destroyed. The mathematical validation process and the stability proof of the method have been given. Besides, an experiment setup which has two 7-DOF robot arms has been established to testify the method. The testing result shows that the dual arm system, under disturbance, can ensure stable grasping of the object with the CSSIC method.

关键词： Equations Robot kinematics Mathematical model Impedance Manipulators Aerospace electronics

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sEMG-based single-joint active training with iLeg—A horizontal exoskeleton for lower limb rehabilitation

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Lecture Notes in Computer Science

作者： Hu, Jin Hou, Zeng-Guang Peng, Liang Peng, Long Gu, Nong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Centre for Intelligent Systems Research Deakin University 75 Pigdons Road Waurn PondsVIC3216 Australia

ISBN: (纸本)9783319126425

In this paper, surface electromyography (sEMG) from muscles of the lower limb is acquired and processed to estimate the singlejoint voluntary motion intention, based on which, two single-joint active training strategies are proposed with iLeg, a horizontal exoskeleton for lower limb rehabilitation newly developed at our laboratory. In damping active training, the joint angular velocity is proportionally controlled by the voluntary effort derived from sEMG, performing as an ideal damper, while spring active training aims to create a spring-like environment where the joint angular displacement from the constant reference is proportionally controlled by the voluntary effort. Experiments are conducted with iLeg and one healthy male subject to validate the feasibility of the two single-joint active training strategies. © Springer International Publishing Switzerland 2014.

关键词： Exoskeleton (robotics)

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26th Annual Computational Neuroscience Meeting (CNS*2017): Part 3 Antwerp, Belgium. 15-20 July 2017 Abstracts

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BMC NEUROSCIENCE 2017年第SUPPL 1期18卷 95-176页

作者： [Anonymous] Department of Neuroscience Yale University New Haven CT 06520 USA Department Physiology & Pharmacology SUNY Downstate Brooklyn NY 11203 USA NYU School of Engineering 6 MetroTech Center Brooklyn NY 11201 USA Departament de Matemàtica Aplicada Universitat Politècnica de Catalunya Barcelona 08028 Spain Institut de Neurobiologie de la Méditerrannée (INMED) INSERM UMR901 Aix-Marseille Univ Marseille France Center of Neural Science New York University New York NY USA Aix-Marseille Univ INSERM INS Inst Neurosci Syst Marseille France Laboratoire de Physique Théorique et Modélisation CNRS UMR 8089 Université de Cergy-Pontoise 95300 Cergy-Pontoise Cedex France Department of Mathematics and Computer Science ENSAT Abdelmalek Essaadi’s University Tangier Morocco Laboratory of Natural Computation Department of Information and Electrical Engineering and Applied Mathematics University of Salerno 84084 Fisciano SA Italy Department of Medicine University of Salerno 84083 Lancusi SA Italy Dipartimento di Fisica Università degli Studi Aldo Moro Bari and INFN Sezione Di Bari Italy Data Analysis Department Ghent University Ghent Belgium Coma Science Group University of Liège Liège Belgium Cruces Hospital and Ikerbasque Research Center Bilbao Spain BIOtech Department of Industrial Engineering University of Trento and IRCS-PAT FBK 38010 Trento Italy Department of Data Analysis Ghent University Ghent 9000 Belgium The Wellcome Trust Centre for Neuroimaging University College London London WC1N 3BG UK Department of Electronic Engineering NED University of Engineering and Technology Karachi Pakistan Blue Brain Project École Polytechnique Fédérale de Lausanne Lausanne Switzerland Departement of Mathematics Swansea University Swansea Wales UK Laboratory for Topology and Neuroscience at the Brain Mind Institute École polytechnique fédérale de Lausanne Lausanne Switzerland Institute of Mathematics University of Aberdeen Aberdeen Scotland UK Department of Integrativ

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