Results 31 to 40 of about 646,449 (284)
Reliable H∞ filtering for discrete time-delay systems with randomly occurred nonlinearities via delay-partitioning method [PDF]
, 2011 The official published version can be found at the link below.In this paper, the reliable H∞ filtering problem is investigated for a class of uncertain discrete time-delay systems with randomly occurred nonlinearities (RONs) and sensor failures. RONs are
Liu, Y, Wang, W, Wang, Z
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Depth Images Filtering In Distributed Streaming
Polish Maritime Research, 2016 In this paper, we propose a distributed system for point cloud processing and transferring them via computer network regarding to effectiveness-related requirements.
Dziubich Tomasz +4 more
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Distributed H-infinity filtering for polynomial nonlinear stochastic systems in sensor networks [PDF]
, 2010 Copyright [2010] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Chesi, G, Hung, Y, Shen, B, Wang, Z
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Consensus Information Filtering for Large-Scale Systems with Application to Heat Conduction Process
Discrete Dynamics in Nature and Society, 2015 For large-scale distributed systems, the evolution of system dynamics is dominated by current states and boundary conditions simultaneously. This work describes a distributed consensus filtering for a class of large-scale distributed systems with unknown
Liguo Zhang, Ying Lyu
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Distributed Kalman Filtering With Finite-Time Max-Consensus Protocol
IEEE Access, 2018 This paper investigates the distributed state estimation problem for an unstable dynamic plant in a sparsely strongly connected sensors network. The dynamics of the plant are collectively observable for all sensors, but not necessarily locally observable
Peng Liu, Yu-Ping Tian, Ya Zhang
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Distributed Kalman-filtering: Distributed optimization viewpoint [PDF]
2019 IEEE 58th Conference on Decision and Control (CDC), 2019 We consider the Kalman-filtering problem with multiple sensors which are connected through a communication network. If all measurements are delivered to one place called fusion center and processed together, we call the process centralized Kalman-filtering (CKF).
Ryu, Kunhee, Back, Juhoon
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Optimally Distributed Kalman Filtering with Data-Driven Communication
Sensors, 2018 For multisensor data fusion, distributed state estimation techniques that enable a local processing of sensor data are the means of choice in order to minimize storage and communication costs.
Katharina Dormann +2 more
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A distributed networked approach for fault detection of large-scale systems [PDF]
, 2016 Networked systems present some key new challenges in the development of fault diagnosis architectures. This paper proposes a novel distributed networked fault detection methodology for large-scale interconnected systems.
Boem, F +4 more
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Derivative-Free Distributed Filtering for MIMO Robotic Systems under Delays and Packet Drops
International Journal of Advanced Robotic Systems, 2013 This paper presents an approach to distributed state estimation-based control of nonlinear MIMO systems, capable of incorporating delayed measurements in the estimation algorithm while also being robust to packet losses.
Gerasimos G. Rigatos
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Journal of Control Science and Engineering, 2023 This paper investigates the distributed H∞ consensus filtering issue for a class of distributed parameter systems with bounded disturbance. In a framework of optimizing performance, a new approach to improving filter performance is proposed by employing ...
Xueming Qian, Baotong Cui
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