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Despite the great success of graph-based transductive learning methods, most of them have serious problems in scalability and robustness. In this paper, we propose an efficient and robust graph-based transductive classification method, called minimum tree cut (MTC), which is suitable for large-scale data. Motivated from the sparse representation of graph, we approximate a graph by a spanning tree...
Synchronization problem is investigated for multiple harmonic oscillators with identical communication delay, and two predictor-based distributed algorithms, which include asynchronously-compensated form and synchronouslycompensated form, are proposed. To analyze the delay robustness intuitively, two predictor-based algorithms accompanied with the normal asynchronously-matched and synchronouslymatched...
For the multi-agent systems with agent's dynamics described by high-order integrator, and usual consensus algorithm composed of the states' coordination control parts is proposed. Under communication delay, consensus algorithm in asynchronously-coupled form just can make the agents achieve a stationary consensus, and sufficient consensus condition is obtained based on frequency-domain analysis. To...
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