Titlebook: Neural Information Processing; 24th International C Derong Liu,Shengli Xie,El-Sayed M. El-Alfy Conference proceedings 2017 Springer Interna

Postulate

Deep CNN Identifier for Dynamic Modelling of Unmanned Helicopterunstable, high-order, time-varying nonlinear complex system. It is a great challenge to investigate the system identification of helicopter, particularly when the non-stationary flight regimes are considered. In this paper, we address the system identification as dynamic regression. Inspired by the

savage

Packet-Dropouts Compensation for Networked Control System via Deep ReLU Neural Networke predictions of the feedback losses in network transmission are included in the data packets. To achieve high-precision predictions, a deep ReLU neural network is used to build the relationships between the system input and feedback losses. We show how to design the parameters of the deep neural ne

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Introduction

affect

A Causal Multi-armed Bandit Approach for Domestic Robots’ Failure Avoidance in their everyday life through various actions. However, they are subjected to task failure, making them less efficient and, possibly, bothering to the users. In this work, we aim to prevent task failures by understanding their causes through robot’s experience. In order to guarantee high accuracy,

Vaginismus

FICE

Event-Based Target Tracking Control for a Snake Robot Using a Dynamic Vision Sensornformation by mimicking retina to sense and encode the world as neural signals. In this paper, we present an autonomous target detecting and tracking control approach for a snake-like robot with a monocular DVS. By using Hough transform based on the Spiking Neural Network (SNN), the target pole is d

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暫時別動

Energy Management of Planetary Gear Hybrid Electric Vehicle Based on Improved Dynamic Programmingthe DP algorithm to find the optimal State of Charge (SOC) trajectory, we found that the optimal SOC trajectory is more than one. However, the traditional DP algorithm can just show one optimal path from masses of optimal SOC trajectories. In this paper, we proposed an improved DP algorithm to find