Many rehabilitation robots have been designed to alleviate the conflict between increasing number of poststroke patients and shortage of *** training is the main feature of advanced rehabilitation robots,which has bee...
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Many rehabilitation robots have been designed to alleviate the conflict between increasing number of poststroke patients and shortage of *** training is the main feature of advanced rehabilitation robots,which has been proved to be more effective than simple passive movement *** paper presents the implementation of active training on a 2-DOF upper-limb rehabilitation robot,which can assist the shoulder and elbow joint rehabilitation training of post-stroke *** controller is built based on impedance control,which can provide a compliant human-robot *** implementation of active training is combined with a virtual reality game,and the average error between the actual and target reaction force is 1.41 ± 0.79 N in the X axis,and 1.22 ± 0.91 N in the Y axis.
With the rapid development of latest information technology, it is inevitable to apply IoT (Internet of Things), cloud computing and big data into the industrial fields of national key sectors including transportation...
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ISBN:
(纸本)9781467384810
With the rapid development of latest information technology, it is inevitable to apply IoT (Internet of Things), cloud computing and big data into the industrial fields of national key sectors including transportation, electricity, metallurgy, petroleum, chemical, manufacturing, military and so on. Wireless sensor network, industrial Internet, embedded system, software for industrial control and management, and smart terminal are gradually introduced into the industrial systems, which would make the past relatively closed industrial systems more open and intelligent, and contribute to the coming forth industrial revolution. In this paper, the authors mainly discuss issues about cloud Operating System (OS) for industrial application, including cloud computing and cloud operating system introduction, current status analysis of cloud OS and the transformation trend to industrial 4.0. Then, we independently design the main content of this cloud OS, and its application prospect and expected result are given. The study provides theoretical guidance and practical challenge for the development of cloud OS oriented to industrial area.
A policy iteration method is proposed to solve the optimal tracking control of continuous-time systems based on HJB equation. The performance index function is composed by the state tracking error and the tracking con...
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ISBN:
(纸本)9781467374439
A policy iteration method is proposed to solve the optimal tracking control of continuous-time systems based on HJB equation. The performance index function is composed by the state tracking error and the tracking control error. The iterative performance index function and the iterative control are obtained by the presented policy iteration. It is proven that the iterative control makes the system asymptotic stability, and the iterative performance index function is convergent. Simulation study demonstrates that the effectiveness of the proposed optimal tracking control method.
Internet inquiry is playing an increasingly important role as the complement of the traditional medical service system,especially the similar cases *** can not only save the patients' waiting time,but also make us...
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Internet inquiry is playing an increasingly important role as the complement of the traditional medical service system,especially the similar cases *** can not only save the patients' waiting time,but also make use of the historical resources,for many cases with the same purpose have been solved ***,because of the diversity and non-standard of the patients' descriptions,the inquiry platform cannot find the cases with similar semantic *** traditional retrieval methods require the overlap of two sentences,and this is not suitable with the diversity and non-standard *** this paper,we try to utilize the sentences' semantic representation in a continuous space to understand the cases,and then recommend the similar *** also incorporate it into query likelihood language models,trying to get better *** experimental data are all collected from a real internet inquiry platform,and the results show that our methods significantly outperform the state-of-the-art translation based methods for similar cases recommendation.
The population of disabled stroke survivors is increasing sharply over the world, and robot-assisted training has been proved to be effective to help motor relearning and alleviate the shortage of physical therapists....
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The population of disabled stroke survivors is increasing sharply over the world, and robot-assisted training has been proved to be effective to help motor relearning and alleviate the shortage of physical therapists. This paper presents the design details of a novel upper limb rehabilitation robot named CASIA-ARM, which can assist poststroke patients to perform shoulder and elbow rehabilitation training in the horizontal plane, and provide both force and visual feedback to the patient: 1) A five-bar closed-chain structure is designed to realize a stiff and low-inertial mechanism. Workspace and singularity analysis is given, which guarantees that the workspace is large enough for upper limb moving and no singularity in the workspace. 2) Cable transmission, motor current controller and impedance control method guarantee the transparent and compliant interaction between the human and the robot. 3) Implementation examples of passive training based on position control and active training based on impedance control are presented in detail. 4) In order to evaluate the robot's applicability and performance, examples of trajectory tracking and active reaching tasks are used in this study, and the preliminary test results are also given (tracking error: 0.86±0:42 mm, force control error: 1.41±0.79 N in the X direction, and 1.22±0.91 N in the Y direction).
In this paper, a new generalized policy iteration (GPI) based adaptive dynamic programming (ADP) algorithm is developed to solve optimal control problems for infinite horizon discrete-time nonlinear systems. The GPI a...
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We develop an online adaptive dynamic programming (ADP) based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the perfo...
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We develop an online adaptive dynamic programming (ADP) based optimal control scheme for continuous-time chaotic systems. The idea is to use the ADP algorithm to obtain the optimal control input that makes the performance index function reach an optimum. The expression of the performance index function for the chaotic system is first presented. The online ADP algorithm is presented to achieve optimal control. In the ADP structure, neural networks are used to construct a critic network and an action network, which can obtain an approximate performance index function and the control input, respectively. It is proven that the critic parameter error dynamics and the closed-loop chaotic systems are uniformly ultimately bounded exponentially. Our simulation results illustrate the performance of the established optimal control method.
In this paper, a human robot shared control strategy is developed and tested on a Baxter robot. Using the proposed method, the human operator only needs to consider the motion of the end-effector of the manipulator, w...
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In this paper, a human robot shared control strategy is developed and tested on a Baxter robot. Using the proposed method, the human operator only needs to consider the motion of the end-effector of the manipulator, while the manipulator will avoid obstacle by itself without sacrificing the end effector motion performance. An improved obstacle avoidance strategy based on the joint space redundancy of the manipulator is designed. A dimension reduction method is presented to solve the over defined problem of avoiding velocity to achieve a more efficient use of the redundancy. By employment of an artificial parallel system of the teleoperate manipulator and the task switching weighting factor, the proposed control method enable the robot restoring back to the commanded pose smoothly when the obstacle is removed. By implementing the dimension reduction method, the trajectory of each joint of the manipulator can be controlled at the same time to achieve the restoring task. Thus, the proposed control method can eliminate the impact of the obstacle on the remaining task. Satisfactory experiment results demonstrate the effectiveness of the proposed methods.
Research on multi-agent systems has attracted much attention in the past two decades, and numerous results have been obtained. Its widespread applications include spacecraft,mobile robots, sensor networks, etc. Most p...
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Research on multi-agent systems has attracted much attention in the past two decades, and numerous results have been obtained. Its widespread applications include spacecraft,mobile robots, sensor networks, etc. Most previous research works on multi-agent systems studied the first- and second-order dynamics. However, in engineering, many systems are modeled by higher-order dynamics. This paper reviews the major results and progress in distributed high-order multi-agent *** the review, a short discussion section is included to summarize the existing research and propose several promising research directions along with some open problems that are deemed important for further investigations.
Hydro-viscous speed clutch (HVC) is a central control element of the driver system. Because of nonlinearities and hysteresis of the clutch, the setting of control parameters has a significant impact on the performance...
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ISBN:
(纸本)9781479987719
Hydro-viscous speed clutch (HVC) is a central control element of the driver system. Because of nonlinearities and hysteresis of the clutch, the setting of control parameters has a significant impact on the performance of the speed control system. This paper studies the HVC of a vehicle temperature control system, and analyzes the parameters tuning method of a PID controller for the closed-loop control system. By employing a two-storey optimized control framework, the resulting model from identification can be used to complete the control parameters auto-tuning. Simulation and experimental results have showed that this auto-tuning method can obtain a group of parameters in terms of a desired performance index, which guarantees the balance of dynamic characteristics, stability and anti-jamming in closed-loop system.
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