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2003 IEEE Aerospace Conference

作者： Dimirovski, Georgi M. Mohenski, Darko D. Deskovski, Stoyce M. Dogus University Dept. of Computer Engineering and Information Technologies Acibadem Zeamet Sk. No: 21 Kadikoy TR-8 1080 Istanbul Turkey SS Cyril and Methodius University Institute of Automation and Systems Engineering at FEE Karpos 2 Rugjer Boskovic b.b. MK-1000 Skopje Macedonia Dept. of Information and Control Systems Military Academy of RM General M. Apostolski MK-1000 Skopje Macedonia

ISBN: (纸本)078037651X

A standard PC platform based simulator system for personnel training in anti-tank guided missile (ATGM) systems has been designed and implemented;its operation is managed through instructor-trainee interaction. It makes use of object-oriented simulation modeling, 6 degree-offreedom (6DOF) missile model and mask modeling of terrain and weather conditions. The main topic of research are the short-range and line-of-sight (CLOS) missiles as well as their guidance and control and target selection and tracking in combat situation. The simulation model specifications are built around the set of concurrent cooperating objects, including representation model of the system's environment. The set of compatible models and software implementations for missiles and moving ground targets, involving their interrelated kinematics, has been elaborated by own research entirely. An appropriate designed user-system interface employing Visual Basic enhances the instructor-trainee co-operation. Its significance stems fiom being usable for personnel training and simulating all typical combat situations given country's landscapes, and being amenable to adjustments to serve a combat command and control instrument if endowed with some hardware-in-the-loop (HIL) elements and interface to launching platform. In addition, it is aimed for investigating new tracking algorithms in multi-target environment. © 2003 IEEE.

关键词： Target tracking

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Dynamic Balancing of Measurements- Another Approach to Statistical Filtering

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IFAC Proceedings Volumes 1978年第1期11卷 2167-2173页

作者： J. Gertler Institute for Computing and Automation Hungarian Academy of Sciences also Department of Systems Engineering Computer Engineering and Information Sciences Case Western Reserve University Cleveland Ohio 44106 U.S.A.

A stationary estimator is presented that provides estimates both for the outputs and the inputs of linear time-invariant systems. The estimates satisfy the input-output equations and are optimal in a weighted minimum variance sense. It is shown that the true optimum problem is too complicated to allow a general closed-form solution and a sub-optimal approach is suggested that leads to a simple computational algorithm.

关键词： Filtering discrete time systems optimal filtering constraint theory stochastic systems

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Colored petri net based diagnosis of process systems 30

Colored petri net based diagnosis of process systems

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30th European Simulation and Modelling Conference, ESM 2016

作者： Pózna, Anna I. Gerzson, Miklós Leitold, Adrien Hangos, Katalin M. Department of Electrical Engineering and Information Systems Hungary Deparment of Mathematics University of Pannonia P.O.B. 158 VeszprémH-8201 Hungary Process Control Research Group Computer and Automation Research Institute P.O.B. 63 BudapestH-1518 Hungary

ISBN: (纸本)9789077381953

An improved diagnosis method of technological systems is proposed in this paper that is based on their qualitative colored Petri-net model (Leitold et al. 2014). The proposed diagnosis method can be used when more than one fault occur in the system and if the fault evolves during the operation of the system. In order to make the diagnosis of complex process systems computationally feasible, a structural decomposition method is introduced to reduce the size of their occurrence graphs and to make the diagnosis easier. The proposed methods are illustrated on examples.

关键词： Fault detection

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Optimizing the performance of the feedback controller for state-based switching bilinear systems

Optimizing the performance of the feedback controller for st...

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作者： Lin, Shu Li, Dewei Schutter, Bart School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai China Department of Automation Shanghai Jiao Tong University Shanghai China Delft Center for Systems and Control Delft University of Technology Delft Netherlands

This article is concerned with the design and performance optimization of feedback controllers for state-based switching bilinear systems (SBLSs), where subsystems take the form of bilinear systems in different state space polyhedra. First, by further dividing the subregions into smaller regions and designing region-dependent feedback controllers in the resulting regions, the SBLSs can be transformed into corresponding switching linear systems (SLSs). Then, for these SLSs, by imposing contractility conditions on the Lyapunov functions, an upper bound on the infinite horizon quadratic cost can be obtained. Optimizing this upper bound yields the controller design. The optimization problem is formulated as a linear matrix inequalities optimization problem, which can be solved efficiently. Finally, the stability of the close-loop system under the proposed controller is established step by step through a decreasing overall Lyapunov function. © 2020 John Wiley & Sons, Ltd.

关键词： Lyapunov functions

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UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第2期11卷 430-445页

作者： Jiawen Kang Junlong Chen Minrui Xu Zehui Xiong Yutao Jiao Luchao Han Dusit Niyato Yongju Tong Shengli Xie IEEE School of Automation Guangdong University of TechnologyGuangzhou 510006China 111 Center for Intelligent Batch Manufacturing based on IoT Technology Guangzhou 510006China Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of EducationGuangzhou 510006China School of Computer Science and Engineering Nanyang Technological UniversitySingaporeSingapore Pillar of Information Systems Technology and Design Singapore University of Technology and DesignSingaporeSingapore College of Communication Engineering Army Engineering University of PLANanjing 210007China National Natural Science Foundation of China Beijing 100085China Key Laboratory of Intelligent Detection and IoT in Manufacturing Ministry of EducationGuangzhou 510006China Guangdong Key Laboratory of IoT Information Technology Guangzhou 510006China

Avatars, as promising digital representations and service assistants of users in Metaverses, can enable drivers and passengers to immerse themselves in 3D virtual services and spaces of UAV-assisted vehicular Metaverses. However, avatar tasks include a multitude of human-to-avatar and avatar-to-avatar interactive applications, e.g., augmented reality navigation,which consumes intensive computing resources. It is inefficient and impractical for vehicles to process avatar tasks locally. Fortunately, migrating avatar tasks to the nearest roadside units(RSU)or unmanned aerial vehicles(UAV) for execution is a promising solution to decrease computation overhead and reduce task processing latency, while the high mobility of vehicles brings challenges for vehicles to independently perform avatar migration decisions depending on current and future vehicle status. To address these challenges, in this paper, we propose a novel avatar task migration system based on multi-agent deep reinforcement learning(MADRL) to execute immersive vehicular avatar tasks dynamically. Specifically, we first formulate the problem of avatar task migration from vehicles to RSUs/UAVs as a partially observable Markov decision process that can be solved by MADRL algorithms. We then design the multi-agent proximal policy optimization(MAPPO) approach as the MADRL algorithm for the avatar task migration problem. To overcome slow convergence resulting from the curse of dimensionality and non-stationary issues caused by shared parameters in MAPPO, we further propose a transformer-based MAPPO approach via sequential decision-making models for the efficient representation of relationships among agents. Finally, to motivate terrestrial or non-terrestrial edge servers(e.g., RSUs or UAVs) to share computation resources and ensure traceability of the sharing records, we apply smart contracts and blockchain technologies to achieve secure sharing management. Numerical results demonstrate that the proposed approach

关键词： Avatar blockchain metaverses multi-agent deep reinforcement learning transformer UAVs

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Recent advances in analysis and control design for switched fuzzy systems: A review

Recent advances in analysis and control design for switched ...

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2012 6th IEEE International Conference Intelligent systems, IS 2012

作者： Ojleska, Vesna Kolemishevska-Gugulovska, Tatjana Dymirkovsky, Gyorgyi SS Cyril and Methodius University in Skopje Faculty of Electrical Eng. and Information Technologies Institute of Automation and Systems Engineering 1000 Skopje R. Macedonia Faculty of Engineering Depts. of Computer and of Control Engineering Dogus University of Istanbul Acibadem TR-34722 Istanbul R. Turkey

ISBN: (纸本)9781467327824

This paper overviews recent advances in the field of switched fuzzy systems, switched systems whose subsystems are fuzzy systems, followed by the comparative study for this kind of systems. Starting with the basic ideas of switched fuzzy systems, the comparative study is aimed in introducing the diverse approaches in their model construction, as well as the challenges related with the stability analysis and stabilization of such systems. The last includes the issue of stability analysis and finding conditions for existence of switched fuzzy controllers which will stabilize the nonlinear system. © 2012 IEEE.

关键词： Hybrid systems

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Towards a robust and fault-tolerant multicast discovery architecture for global computing grids

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Scalable Computing 2005年第2期6卷 23-33页

作者： Juhasz, Zoltan Andics, Arpad Kuntner, Krisztian Pota, Szabolcs Department of Information Systems University of Veszprem Egyetem u 10. Veszprem8200 Hungary Department of Computer Science University of Exeter United Kingdom Computer and Automation Research Institute Hungarian Academy of Sciences Hungary

Global grid systems with potentially millions of services require a very effective and efficient service discov- ery/location mechanism. Current grid environments, due to their smaller size, rely mainly on centralised service directories. Large-scale systems need a decentralised service discovery system that operates reliably in a dynamic and error-prone environment. Work has been done in studying flat, decentralised discovery architectures. In this paper, we propose a hierarchical discovery archi- tecture that provides a more scalable and efficient approach. We describe our design rationale for a k-ary tree-based fault-tolerant discovery architecture that also acts as an intelligent routing network for client requests. We show that it is possible to provide ad hoc multicast discovery of services even without end-to-end multicast availability. The system provides clients with the ability to search for services with incomplete information using descriptive service attributes. Our results demonstrate that this approach is well suited to wide-area discovery if fast discovery, high availability, scalability and good performance are crucial requirements. © 2005 SWPS.

关键词： Network architecture

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An experimental system for optical detection of layout errors of printed circuit boards using learned CNN templates 2

An experimental system for optical detection of layout error...

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2nd International Workshop on Cellular Neural Networks and their Applications, CNNA 1992

作者： Szolgay, P. Kispál, I. Kozek, T. Dual and Neural Computing Systems Laboratory Computer and Automation Institute Hungarian Academy of Sciences P.O.B.63 BudapestH-1502 Hungary Department of Information Technology Faculty of Engineering University of Veszprém Egyetem u. 10 VeszprémH-8201 Hungary

ISBN: (纸本)0780308751

Cellular neural networks (CNNs) are considered here as cellular analog programmable multidimensional processing arrays with distributed logic and memory. The interconnecting weights between the neighbouring processing elements are defined by the template *** the paper a new systematic way is presented to find robust templates. Using the new learning algorithm some templates were found for a CNN based layout design rule checking algorithm. The algorithm has been tested in our experimental system with real life examples. A typical design rule checking of a 432×164 pixels area takes 8s computation time on our CNN hardware accelerator board. © 1992 IEEE.

关键词： Cellular neural networks

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The chordal graph polytope for learning decomposable models 8

The chordal graph polytope for learning decomposable models

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8th International Conference on Probabilistic Graphical Models, PGM 2016

作者： Studeny, Milan Cussens, James Department of Decision-Making Theory Institute of Information Theory and Automation CAS Pod Vod renskou v 4 Prague18208 Czech Republic Department of Computer Science York Centre for Complex Systems Analysis University of York YorkYO10 5GH United Kingdom

This theoretical paper is inspired by an integer linear programming (ILP) approach to learning the structure of decomposable models. We intend to represent decomposable models by special zeroone vectors, named characteristic imsets. Our approach leads to the study of a special polytope, defined as the convex hull of all characteristic imsets for chordal graphs, named the chordal graph polytope. We introduce a class of clutter inequalities and show that all of them are valid for (the vectors in) the polytope. In fact, these inequalities are even facet-defining for the polytope and we dare to conjecture that they lead to a complete polyhedral description of the polytope. Finally, we propose an LP method to solve the separation problem with these inequalities for use in a cutting plane approach. 2016 Microtome Publishing. All rights reserved.

关键词： Integer programming

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Selecting of global phenological field observations for validating coarse AVHRR-derived forest phenology products based on spatial heterogeneity and temporal consistency

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Ecological Informatics 2025年 90卷

作者： Qi Shao Chao Huang Yuanjun Xiao Li Liu Weiwei Liu Ran Huang Chang Zhou Wei Weng Jingfeng Huang Key Laboratory of Environmental Remediation and Ecological Health Ministry of Education Zhejiang University Hangzhou 310058 China State Key Laboratory of Soil Pollution Control and Safety Zhejiang University Hangzhou 310058 China Institute of Applied Remote Sensing and Information Technology Zhejiang University Hangzhou 310058 China Key Laboratory of Agricultural Remote Sensing and Information Systems Hangzhou 310058 China Key Laboratory of National Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed College of Forestry Jiangxi Agricultural University Nanchang 330045 China Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering College of Computer and Information Technology China Three Gorges University Yichang 443002 China Department of Geography and Spatial Information Techniques Ningbo University Ningbo 315211 China School of Automation Hangzhou Dianzi University Xiasha Higher Education Zone Hangzhou 310058 China

Global phenological field observations play a crucial role in validating remote sensing products and algorithms. However, due to the spatial mismatch and scale effect between the field observations and the pixels of remote sensing phenology products, a direct comparison often leads to scale errors and increased uncertainty. Therefore, evaluating the spatial representativeness of field observations for remote sensing product validation is essential. This study developed a novel “bottom-up” evaluation framework named MSPT ( M ain land cover type, S patial heterogeneity, P oint-area consistency and T emporal consistency), which comprehensively assesses the spatial representativeness of forest phenological field observations within the coarse spatial scale. Based on MSPT method, the capability of global forest phenological field observations to support coarse-scale remote sensing validation was evaluated. Compared with the general method, MSPT significantly improved validation performance. For the start of the growing season (SOS), the root mean square error (RMSE) decreased from 49.70 to 33.75 days, and the percent bias (PBIAS) changed from −0.14 to 0.03. For the end of the growing season (EOS), the RMSE was reduced from 83.42 to 42.53 days, and the PBIAS decreased from 0.15 to 0.08. These findings demonstrate that MSPT enhances the reliability of validation datasets and effectively reducing uncertainty in the evaluation of coarse AVHRR-derived forest phenology products. The framework offers new insights into resolving the scale mismatch between field observations and the pixels of remote sensing products.

关键词： Forest phenology Field observations Spatial representativeness Spatial mismatch Satellite product AVHRR Advanced Very High Resolution Radiometer CERN Chinese Ecosystem Research Network CNW Canada nature watch DBF Deciduous Broadleaf Forests DOY Date of year EBF Evergreen Broadleaf Forests ENF Evergreen Needleleaf Forest EOS The end of the growing season GEE Google Earth Engine GPP Gross primary productivity HBEF Hubbard Brook Experimental Forest HF Harvard Forest IPS Instantaneous Phase Synchrony MAD Mean Absolute Deviation MCD12Q1 MODIS Collection 6.1 (C61) Land Cover Type Product MF Mixed Forests MIPS Mean Instantaneous phase synchrony MLCTP Main Land Cover Type Proportion MSPT Main land cover type - Spatial heterogeneity - Point-area consistency - Temporal consistency NC Nature's Calendar PBIAS Percent bias PEP725 Pan European Phenology Project RAE Relative absolute error RMSE Root mean square error sd standard deviation SOS The start of the growing season USA-NPN USA National Phenology Network VIPPHEN Vegetation Index and Phenology (VIP) Phenology Dataset WI Willmott's Index of Agreement

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