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Neural-Network Based Adaptive Self-Triggered Consensus of Nonlinear Multi-Agent Systems With Sensor Saturation

IEEE Transactions on Network Science and Engineering, 2021
This paper aims to propose a self-triggered consensus control scheme for a class of nonlinear multi-agent systems with sensor saturation. Because of the existence of unknown nonlinear dynamics, this study borrows the approximation capability of neural ...
Duxin Chen   +4 more
semanticscholar   +1 more source

EPMF: Efficient Perception-Aware Multi-Sensor Fusion for 3D Semantic Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
We study multi-sensor fusion for 3D semantic segmentation that is important to scene understanding for many applications, such as autonomous driving and robotics.
Zhuangwei Zhuang   +5 more
semanticscholar   +1 more source

Distributed Recursive State Estimation for a Class of Multi-Rate Nonlinear Systems Over Wireless Sensor Networks Under FlexRay Protocols

IEEE Transactions on Network Science and Engineering, 2023
This paper is concerned with the distributed recursive state estimation problem for a class of multi-rate nonlinear systems over the sensor networks. The sensor nodes in the sensor network are communicated with each other through communication networks ...
Yuxuan Shen   +4 more
semanticscholar   +1 more source

Average-Consensus Tracking of Sensor Network via Distributed Coordination Control of Heterogeneous Multi-Agent Systems

IEEE Control Systems Letters, 2019
Average-consensus tracking problem is investigated for sensor network, in which the computing units are modeled by heterogeneous multi-agent systems composed of first-order agents and second-order agents.
Min Zheng, Chenglin Liu, Fei Liu
semanticscholar   +1 more source

Autonomous Networked Multi-Sensor Imaging Systems

Imaging and Applied Optics Technical Papers, 2012
A demonstration of automated networked multiple sensor operation in airborne environments was performed. This presentation describes the diverse sensors and imagery processing used to demonstrate autonomously interactive detection and tracking of multiple ground targets.
openaire   +1 more source

Multi-Sensor Fusion Boolean Bayesian Filtering for Stochastic Boolean Networks

IEEE Transactions on Neural Networks and Learning Systems, 2023
Stochastic Boolean networks (SBNs) take process noise into account, so it is better to fit the actual situation and has a wider application background than Boolean networks (BNs). However, the presence of noise influences us to estimate the real state of the system.
Fangfei Li, Yang Tang
openaire   +2 more sources

Design of Smart Car Networking System based on Multi-Sensor Network

2021 6th International Conference on Inventive Computation Technologies (ICICT), 2021
Rapid development of intelligent methodologies will leverage novel approaches for enhancing the car monitoring and scheduling system. Hence, this paper studies the smart car networking system based on multi-sensor network. The key to the successful operation of active driving services lies in the selection of high-quality services from the massive ...
Rong Xu, Hui Liu, Harry Haoxiang Wang
openaire   +1 more source

Distributed GGIW-CPHD-Based Extended Target Tracking Over a Sensor Network

IEEE Signal Processing Letters, 2022
Multiple extended target tracking (METT) is a common and challenging problem. Various solutions for METT have been proposed, however, most of them focus on the single-sensor or centralized multi-sensor scenarios.
Guchong Li, Gang Li, You He
semanticscholar   +1 more source

MULTI-SENSOR NEURAL-NETWORK PROCESSING OF NOISY SPEECH

International Journal of Neural Systems, 1999
In this paper, a novel Artificial Neural-Network (ANN) based multi-sensor multi-band adaptive signal-processing scheme is described for enhancing acoustic-speech corrupted by real noise and reverberation. Numerically robust adaptation-algorithms are employed for the ANN based sub-band filters; and, new simulation experiments are reported using real ...
openaire   +2 more sources

Efficient cooperative image transmission in one-way multi-hop sensor network

The International Journal of Electrical Engineering & Education, 2018
The challenging task while transmitting the high-quality images over the wireless sensor networks is to achieve the higher throughput, minimum bit error rate without compromising the image quality.
Bilal Al-Hayani, H. Ilhan
semanticscholar   +1 more source

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