In this paper, we present a system for performing a complex surgical intervention using virtual reality (VR) technology. With the aid of the system, the intervention can be planned and simulated exactly before perform...
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In this paper,a self-triggered consensus filtering is developed for a class of discrete-time distributed filtering *** from existing event-triggered filtering,the self-triggered one does not require to continuously ju...
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In this paper,a self-triggered consensus filtering is developed for a class of discrete-time distributed filtering *** from existing event-triggered filtering,the self-triggered one does not require to continuously judge the trigger condition at each sampling instant and can save computational burden while achieving good state *** triggering policy is presented for pre-computing the next execution time for measurements according to the filter’s own data and the latest released data of its neighbors at the current ***,a challenging problem is that data will be asynchronously transmitted within the filtering network because each node self-triggers ***,a co-design of the self-triggered policy and asynchronous distributed filter is developed to ensure consensus of the state ***,a numerical example is given to illustrate the effectiveness of the consensus filtering approach.
In industrial automation software controls systems whose failure can be critical and expensive. Testing this software is very crucial but so far done manually, an expensive and not very thorough method. Model-based te...
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The exponential growth of academic publications has made scholarly research recommender systems indispensable tools for researchers. These systems rely on diverse evaluation metrics to assess their effectiveness and r...
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We report the fabrication and characterization of a single-layer graphene field-effect terahertz detector, which is cou- pled with dipole-like antennas based on the self-mixing detector model. The graphene is grown by...
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We report the fabrication and characterization of a single-layer graphene field-effect terahertz detector, which is cou- pled with dipole-like antennas based on the self-mixing detector model. The graphene is grown by chemical vapor deposi- tion and then transferred onto an SiO2/Si substrate. We demonstrate room-temperature detection at 237 GHz. The detector could offer a voltage responsivity of 0.1 V/W and a noise equivalent power of 207 nW/Hz 1/2. Our modeling indicates that the observed photovoltage in the p-type gated channel can be well fit by the self-mixing theory. A different photoresponse other than self-mixing may apply for the n-type gated channel.
In this paper, we address stability and robustness properties of hybrid limit cycles for a class of hybrid systems with multiple jumps in one period. The main results entail equivalent characterizations of stability o...
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Progress in development of multi-agent control is *** approaches for multiagent control,estimation,and optimization are discussed in a systematic way with particular emphasis on the graph-theoretic *** is paid to the ...
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Progress in development of multi-agent control is *** approaches for multiagent control,estimation,and optimization are discussed in a systematic way with particular emphasis on the graph-theoretic *** is paid to the design of multi-agent systems via Laplacian dynamics,as well as the role of the graph Laplacian spectrum,the challenges of unbalanced digraphs,and consensus-based estimation of graph *** emergent issues,e.g.,distributed optimization,distributed average tracking,and distributed network games,are also reported,which have witnessed extensive development *** are over 200 references listed,mostly to recent contributions.
This contribution provides an exhaustive explanation of the graded approach to the monotonicity property (of a fuzzy relation) and its non-graded version. Our framework is algebraic. We present a wide variety of examp...
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Currently, an inportant topic in robotic reasearch systems is the design and development of learning Multi-Agent Systems ( MAS ). One major advantage of these systems is the fact that several agent work towards a comm...
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Currently, an inportant topic in robotic reasearch systems is the design and development of learning Multi-Agent Systems ( MAS ). One major advantage of these systems is the fact that several agent work towards a common goal, having different specializations for specific subtasks. Especially learning MAS in cooperation with a human teacher seem to be a very promising approach for complex manipulation and production tasks. Since agents can join and leave the system at any time, it is important that knowledge acquired by single agents can be transferred or propagated between agents, to ensure that knowledge is not lost, if agents leave the system. Therefore, techniques will be presented to represent extentable action knowledge for task solutions in an agent's knowledge base and additionally, algorithms for propagating this knowledge between agents efficiently and with minimum communication effort.
We show two models for synchronous finite state machines (FSM) based on fuzzy logic: The crisp-state-fuzzy-output (CSFO) FSM, and the fuzzy-state-fuzzy-output (CSFO) FSM. As a result of the introduction of the FSM mod...
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