The deployment of drone-mounted communication systems has received increasing interest and attention recently as it allows significant improvement to the network access capacity and coverage. Many applications can ben...
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This paper introduces a rigid-flexible coupling wearable exoskeleton robot for lower limb,which is designed in light of gait biomechanics and beneficial for low limb movement disorders by implementing gait *** rationa...
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This paper introduces a rigid-flexible coupling wearable exoskeleton robot for lower limb,which is designed in light of gait biomechanics and beneficial for low limb movement disorders by implementing gait *** rationality of the proposed mechanism is shown with the implementation of the dynamic simulation through MSC *** the purposes of lightweight,the exoskeleton mechanism is optimized through finite element *** can be concluded from performance evaluation experiment,the mechanism has certain advantages over existing exoskeleton robots,namely,comfortable,lightweight,low cost,which can be utilized for rehabilitation training in medical institutions or as a daily-walking ancillary equipment for patients.
This paper exploits the Negative Imaginary systems theory to develop a novel affine formation manoeuvre control framework for multi-agent systems using dynamic output feedback. The framework begins by deriving affine ...
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Power quality (PQ) metering is an important part of the maintenance of modern electrical grids. Among different PQ indices, flicker severity coefficients Pst and Plt are measures of voltage fluctuation. In typical PQ ...
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Autonomous ground vehicles operating in the field are likely to be faced with several mobility challenges such as piles of rubble, water crossings, steep hills, mud, and stiff vegetation patches. These scenarios are p...
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This paper presents filtering methods for improvement of biosignal measurement accuracy - an ECG signal under the influence of electromagnetic interference, which has a significant impact on the operation of the IoB s...
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The paper proposes an approach to position-force control in the underwater vehicle-manipulator systems. There are two different strategies to realize position-force controlsystems: through a decoupled or coupled cont...
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This paper applies the MIMO NARX neural model to identify AUV with six degrees of freedom. Strongly nonlinear dependencies are modeled using a MIMO NARX model trained using «input-output» experimental data. ...
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The development of machine learning in complex system is hindered by two problems *** first problem is the inefficiency of exploration in state and action space,which leads to the data-hungry of some state-of-art data...
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The development of machine learning in complex system is hindered by two problems *** first problem is the inefficiency of exploration in state and action space,which leads to the data-hungry of some state-of-art data-driven *** second problem is the lack of a general theory which can be used to analyze and implement a complex learning *** this paper,we proposed a general methods that can address both two *** combine the concepts of descriptive learning,predictive learning,and prescriptive learning into a uniform framework,so as to build a parallel system allowing learning system improved by *** a new perspective of data,knowledge and action,we provide a new methodology called parallel learning to design machine learning system for real-world problems.
The emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a clo...
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The emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a cloud-based cyberphysical-social systems(CPSS) framework aiming at synergizing connected automated driving. This study first introduces the CPSS and ACP-based intelligent machine systems. Then the parallel driving is proposed in the cyber-physical-social space,considering interactions among vehicles, human drivers, and information. Within the framework, parallel testing, parallel learning and parallel reinforcement learning are developed and concisely reviewed. Development on intelligent horizon(iHorizon)and its applications are also presented towards parallel *** proposed parallel driving offers an ample solution for achieving a smooth, safe and efficient cooperation among connected automated vehicles with different levels of automation in future road transportation systems.
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