Titlebook: Neural Information Processing; 25th International C Long Cheng,Andrew Chi Sing Leung,Seiichi Ozawa Conference proceedings 2018 Springer Nat

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Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Games-time nonlinear systems. First, a critic neural network is employed to approximate the optimal value function. Then, an event-triggered ADP method is proposed, which guarantees the stability of the closed-loop system. The developed method can save the amount of computation as the control law and di

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Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic EnvironmentsThe traditional approaches to multi-robot exploration problem are all based on the “pre-designed” cooperation strategy. However, many real-world settings are too complex for humans to “design” effective strategies. Besides, “pre-designed” strategy does not possess the ability to adapt to different t

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Data-Driven and Collision-Free Hybrid Crowd Simulation Model for Real Scenarioimulation model in this paper. The first part of the model is a data-driven process in which we introduce an algorithm called MS-ISODATA (Main Streams Iterative Self-organizing Data Analysis) to learn motion patterns from real scenarios. The second part introduces an agent-based collision-free mecha

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Pinning Synchronization of Complex Networks with Switching Topology and a Dynamic Target Systemitching communication topologies. To eliminate the impact of nonzero inputs, a discontinuous controller is designed. If the average dwell time is lower bounded by a positive constant, we show synchronization is achieved by selecting sufficiently large coupling strengths. In addition, some sufficient

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The Deep Input-Koopman Operator for Nonlinear Systems in the linear framework based on deep neural network (DNN) which is data-driven and equation-free. On account of the conventional Koopman operator is incapable for actuated systems, we introduce the notion of input-Koopman operator for the systems incorporated with the effects of inputs and control

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Multi-UAV Collaborative Monocular SLAM Focusing on Data Sharinging data between UAVs during tracking lost and map fusion, we propose a robust, focusing on Date Sharing Multi-UAV visual SLAM (DSM-SLAM) based on centralized architecture. In addition, we present a two-step relocalization method based on sharing local maps, in order to support the UAV in using the

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