Global Positioning system (GPS)-equipped probe vehicles have been one of the principal techniques in detection of traffic flow. In order to guide the application of the different methods using data from GPS probe vehi...
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Industrial Ethernet networks are now a common feature on today's factory floors. Vendor-specific technologies, such as Profinet IRT, have demonstrated Ethernet networks with hard real-time (RT) properties. Specifi...
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Industrial Ethernet networks are now a common feature on today's factory floors. Vendor-specific technologies, such as Profinet IRT, have demonstrated Ethernet networks with hard real-time (RT) properties. Specified by the IEEE, the Audio and Video Bridging (AVB) technology promises a standardized approach to RT Ethernet. However, AVB has been conceived for other application fields, e.g. home entertainment systems. Several aspects necessary for AVB's potential use in industrial automation solutions are not covered by the standard. One important aspect is the usage of redundant communication paths to increase fault tolerance. In this paper, a method of achieving redundancy with AVB is proposed. It has been verified through simulation and has been proposed to the AVB Task Group for use in future revisions of the standard.
In this paper, a microgrid hierarchical control scheme is proposed which includes primary and secondary control levels. The primary level comprises distributed generators (DGs) local controllers. The local controller ...
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To deal with the sample degradation problem of particle filter, we proposed a novel resampling algorithm. It incorporates the most recent measurements via the extended Kalman filter (EKF) into the resampling procedure...
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This paper presents a new pipeline inspection robot that has multiple sensors for inspection of 80-100mm pipelines. The special feature of this robot is realization of driving and steering capability by using only two...
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This paper presents a new pipeline inspection robot that has multiple sensors for inspection of 80-100mm pipelines. The special feature of this robot is realization of driving and steering capability by using only two wheel chains. Compared to popularly employed pipeline robots using three wheel chains, the new design allows simple robot control and easy user interface, specially at T-branch. As another advantage, the flat shape of this robot allows mounting additional sensors on the both sides of the robot. The kinematics and three control modes are described. Finally, the performance of this robot system is verified by experimentation.
In this paper, a direct synthesis approach is proposed to design ETF based multivariable decoupling controllers. This new scheme is different from two existing ETF based decoupling schemes which involves the following...
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In this paper, a direct synthesis approach is proposed to design ETF based multivariable decoupling controllers. This new scheme is different from two existing ETF based decoupling schemes which involves the following steps: (1) by uniquely determine the ETFs for every transfer function element, the inverse matrix of transfer function matrix is approximated; (2) selecting the desired closed-loop system transfer function such that the resulted controllers are stable, causal and proper; (3) deriving the achievable full-matrix decoupling controller by specifying the tuning parameters. The effectiveness of the proposed design approach is verified by two multivariable industrial processes, which shows that it results in better overall system performance than other two ETF based schemes.
In this paper, a complete architecture of the software defined radio receiver is proposed. First, a precise definition and the discussion of the problem is given. Next, an outline of the system topology is proposed, t...
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In this paper, a complete architecture of the software defined radio receiver is proposed. First, a precise definition and the discussion of the problem is given. Next, an outline of the system topology is proposed, together with the requirements for each component of the system. Finally, a custom implementation is presented, including specifications, design considerations, and simulations.
This paper presents a new adaptive controller for visual tracking control of a robot manipulator in 3D general motion with a fixed camera whose intrinsic and extrinsic parameters are uncalibrated. In addition to camer...
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This paper presents a new adaptive controller for visual tracking control of a robot manipulator in 3D general motion with a fixed camera whose intrinsic and extrinsic parameters are uncalibrated. In addition to camera parameters, the feature positions in 3D space are also assumed unknown. Based on the fact that the unknown parameters appears linearly in the closed-loop dynamics of the system if the depth-independent interaction matrix is adopted to map the image errors onto the joint space of the manipulator, we developed a new adaptive algorithm to estimated the unknown parameters on-line. With a full consideration of dynamic responses of the robot manipulator, we employ the Lyapunov method to prove asymptotic convergence of the image errors. Experimental results are used to demonstrate the performance of the proposed approach.
Parkinson's disease (PD) is a common movement disorder caused from the neurological dysfunction in basal ganglia. Patients with Parkinson's disease have serious movement problems, such as movement disorder...
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Parkinson's disease (PD) is a common movement disorder caused from the neurological dysfunction in basal ganglia. Patients with Parkinson's disease have serious movement problems, such as movement disorders, tremor and rigidity. In this study, a new technique of hand movement compensation for patients with Parkinson's disease based on spiral drawing tasks was proposed. In order to extract the hand movement feature of patients with Parkinson's disease, the polar coordination system with varied origin was used to gain characteristic parameters more accurately. The compensation model was constructed by using the parameters obtained in spiral drawing tasks, and we also do simulation under this model to verify the effectiveness. The simulation results proved that the proposed compensation technique will be effective for assisting the movement of patients with Parkinson's disease.
Abstract We investigate the game learning skeleton on homogeneous random networks, where an individual plays the Prisoner's Dilemma game with neighbors and the learning frequency during the steady state is counted...
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Abstract We investigate the game learning skeleton on homogeneous random networks, where an individual plays the Prisoner's Dilemma game with neighbors and the learning frequency during the steady state is counted as edge weight. The learning skeleton is defined as a communication kernel where each individual directs to the most frequently followed neighbor. We show that with the increase of the temptation to defect, the in-degree distribution of the learning skeleton varies from an exponential distribution to a power-law distribution, i.e., the scale-free property can emerge from underlying homogeneous random interaction networks. Moreover, we find that the longer the individual holds on the cooperative strategy, the more followers the individual has, and the easier the leader diffuses its behavior. Therefore, our work will shed some insight into designing reinforcement learning mechanisms in the social system to promote the emergence and persistence of cooperation.
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