Relevant bibliographies by topics / Autonomous distributed systems

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Autonomous distributed systems'

Author: Grafiati
Published: 7 October 2023

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Journal articles on the topic "Autonomous distributed systems"

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ITO, Masami, and Hideo YUASA. "Autonomous Distributed Systems." Journal of the Robotics Society of Japan 10, no. 4 (1992): 464–67. http://dx.doi.org/10.7210/jrsj.10.464.

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Fujita, Hiroyuki. "Autonomous Distributed Micro Systems." Journal of the Society of Mechanical Engineers 97, no. 905 (1994): 298–301. http://dx.doi.org/10.1299/jsmemag.97.905_298.

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Khalgui, Mohamed. "Distributed Reconfigurations of Autonomous IEC61499 Systems." ACM Transactions on Embedded Computing Systems 12, no. 1 (January 2013): 1–23. http://dx.doi.org/10.1145/2406336.2406354.

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Ras, Z. "Ontology-based distributed autonomous knowledge systems." Information Systems 29, no. 1 (March 2004): 47–58. http://dx.doi.org/10.1016/s0306-4379(03)00033-4.

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Ota, Jun. "Multi-agent robot systems as distributed autonomous systems." Advanced Engineering Informatics 20, no. 1 (January 2006): 59–70. http://dx.doi.org/10.1016/j.aei.2005.06.002.

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YANO, Masafumi. "Design Principle for Biological Autonomous Distributed Systems." Journal of the Robotics Society of Japan 10, no. 4 (1992): 468–73. http://dx.doi.org/10.7210/jrsj.10.468.

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KUMAGAI, Sadatoshi. "A Paradigm Shift toward Autonomous Distributed Systems." IEICE ESS FUNDAMENTALS REVIEW 3, no. 1 (2009): 4–5. http://dx.doi.org/10.1587/essfr.3.1_4.

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Dam, Koen H. Van, Zofia Verwater-Lukszo, Jaap A. Ottjes, and Gabriel Lodewijks. "Distributed intelligence in autonomous multi-vehicle systems." International Journal of Critical Infrastructures 2, no. 2/3 (2006): 261. http://dx.doi.org/10.1504/ijcis.2006.009442.

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Oike, Shunsuke, Tomohisa Tanaka, Jiang Zhu, and Yoshio Saito. "Robust Production Scheduling Using Autonomous Distributed Systems." Key Engineering Materials 516 (June 2012): 166–69. http://dx.doi.org/10.4028/www.scientific.net/kem.516.166.

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This research proposes a method of production scheduling using autonomous distributed systems. A concrete message protocol is proposed to realize the production scheduling which includes not only Machine but also Human and AGV scheduling. Moreover this method realizes real time scheduling and parallel scheduling. Therefore, a new structure of production scheduling is proposed, which can realize a change of the type of production scheduler to correspond with a type of production system.
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Suguri, Toshihiko, Hiroyuki Yamashita, Shingo Kinoshita, and Yasushi Okada. "Load balancing in distributed autonomous cooperative systems." Systems and Computers in Japan 31, no. 6 (June 2000): 74–89. http://dx.doi.org/10.1002/(sici)1520-684x(200006)31:6<74::aid-scj8>3.0.co;2-z.

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Dissertations / Theses on the topic "Autonomous distributed systems"

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Araguz, López Carles. "In pursuit of autonomous distributed satellite systems." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/668234.

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Satellite imagery has become an essential resource for environmental, humanitarian, and industrial endeavours. As a means to satisfy the requirements of new applications and user needs, novel Earth Observation (EO) systems are exploring the suitability of Distributed Satellite Systems (DSS) in which multiple observation assets concurrently sense the Earth. Given the temporal and spatial resolution requirements of EO products, DSS are often envisioned as large-scale systems with multiple sensing capabilities operating in a networked manner. Enabled by the consolidation of small satellite platforms and fostered by the emerging capabilities of distributed systems, these new architectures pose multiple design and operational challenges. Two of them are the main pillars of this research, namely, the conception of decision-support tools to assist the architecting process of a DSS, and the design of autonomous operational frameworks based on decentralised, on-board decision-making. The first part of this dissertation addresses the architecting of heterogeneous, networked DSS architectures that hybridise small satellite platforms with traditional EO assets. We present a generic design-oriented optimisation framework based on tradespace exploration methodologies. The goals of this framework are twofold: to select the most optimal constellation design; and to facilitate the identification of design trends, unfeasible regions, and tensions among architectural attributes. Oftentimes in EO DSS, system requirements and stakeholder preferences are not only articulated through functional attributes (i.e. resolution, revisit time, etc.) or monetary constraints, but also through qualitative traits such as flexibility, evolvability, robustness, or resiliency, amongst others. In line with that, the architecting framework defines a single figure of merit that aggregates quantitative attributes and qualitative ones-the so-called ilities of a system. With that, designers can steer the design of DSS both in terms of performance or cost, and in terms of their high-level characteristics. The application of this optimisation framework has been illustrated in two timely use-cases identified in the context of the EU-funded ONION project: a system that measures ocean and ice parameters in Polar regions to facilitate weather forecast and off-shore operations; and a system that provides agricultural variables crucial for global management of water stress, crop state, and draughts. The analysis of architectural features facilitated a comprehensive understanding of the functional and operational characteristics of DSS. With that, this thesis continues to delve into the design of DSS by focusing on one particular functional trait: autonomy. The minimisation of human-operator intervention has been traditionally sought in other space systems and can be especially critical for large-scale, structurally dynamic, heterogeneous DSS. In DSS, autonomy is expected to cope with the likely inability to operate very large-scale systems in a centralised manner, to improve the science return, and to leverage many of their emerging capabilities (e.g. tolerance to failures, adaptability to changing structures and user needs, responsiveness). We propose an autonomous operational framework that provides decentralised decision-making capabilities to DSS by means of local reasoning and individual resource allocation, and satellite-to-satellite interactions. In contrast to previous works, the autonomous decision-making framework is evaluated in this dissertation for generic constellation designs the goal of which is to minimise global revisit times. As part of the characterisation of our solution, we stressed the implications that autonomous operations can have upon satellite platforms with stringent resource constraints (e.g. power, memory, communications capabilities) and evaluated the behaviour of the solution for a large-scale DSS composed of 117 CubeSat-like satellite units.
La imatgeria per satèl·lit ha esdevingut un recurs essencial per assolir tasques ambientals, humanitàries o industrials. Per tal de satisfer els requeriments de les noves aplicacions i usuaris, els sistemes d’observació de la Terra (OT) estan explorant la idoneïtat dels Sistemes de Satèl·lit Distribuïts (SSD), on múltiples observatoris espacials mesuren el planeta simultàniament. Degut al les resolucions temporals i espacials requerides, els SSD sovint es conceben com sistemes de gran escala que operen en xarxa. Aquestes noves arquitectures promouen les capacitats emergents dels sistemes distribuïts i, tot i que són possibles gràcies a l’acceptació de les plataformes de satèl·lits petits, encara presenten molts reptes en quant al disseny i operacions. Dos d’ells són els pilars principals d’aquesta tesi, en concret, la concepció d’eines de suport a la presa de decisions pel disseny de SSD, i la definició d’operacions autònomes basades en gestió descentralitzada a bord dels satèl·lits. La primera part d’aquesta dissertació es centra en el disseny arquitectural de SSD heterogenis i en xarxa, imbricant tecnologies de petits satèl·lits amb actius tradicionals. Es presenta un entorn d’optimització orientat al disseny basat en metodologies d’exploració i comparació de solucions. Els objectius d’aquest entorn són: la selecció el disseny de constel·lació més òptim; i facilitar la identificació de tendències de disseny, regions d’incompatibilitat, i tensions entre atributs arquitecturals. Sovint en els SSD d’OT, els requeriments del sistema i l’expressió de prioritats no només s’articulen en quant als atributs funcionals o les restriccions monetàries, sinó també a través de les característiques qualitatives com la flexibilitat, l’evolucionabilitat, la robustesa, o la resiliència, entre d’altres. En línia amb això, l’entorn d’optimització defineix una única figura de mèrit que agrega rendiment, cost i atributs qualitatius. Així l’equip de disseny pot influir en les solucions del procés d’optimització tant en els aspectes quantitatius, com en les característiques dalt nivell. L’aplicació d’aquest entorn d’optimització s’il·lustra en dos casos d’ús actuals identificats en context del projecte europeu ONION: un sistema que mesura paràmetres de l’oceà i gel als pols per millorar la predicció meteorològica i les operacions marines; i un sistema que obté mesures agronòmiques vitals per la gestió global de l’aigua, l’estimació d’estat dels cultius, i la gestió de sequeres. L’anàlisi de propietats arquitecturals ha permès copsar de manera exhaustiva les característiques funcionals i operacionals d’aquests sistemes. Amb això, la tesi ha seguit aprofundint en el disseny de SSD centrant-se, particularment, en un tret funcional: l’autonomia. Minimitzar la intervenció de l’operador humà és comú en altres sistemes espacials i podria ser especialment crític pels SSD de gran escala, d’estructura dinàmica i heterogenis. En els SSD s’espera que l’autonomia solucioni la possible incapacitat d’operar sistemes de gran escala de forma centralitzada, que millori el retorn científic i que n’apuntali les seves propietats emergents (e.g. tolerància a errors, adaptabilitat a canvis estructural i de necessitats d’usuari, capacitat de resposta). Es proposa un sistema d’operacions autònomes que atorga la capacitat de gestionar els sistemes de forma descentralitzada, a través del raonament local, l’assignació individual de recursos, i les interaccions satèl·lit-a-satèl·lit. Al contrari que treballs anteriors, la presa de decisions autònoma s’avalua per constel·lacions que tenen com a objectius de missió la minimització del temps de revisita global.
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Miao, Xia Ph D. Massachusetts Institute of Technology. "Toward distributed control for autonomous electrical energy systems." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/128321.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2020
Cataloged from PDF of thesis.
Includes bibliographical references (pages 136-144).
In this thesis we study the problem of enabling autonomous electrical energy systems (AEESs) by means of distributed control. We first propose a modular modeling approach that represents a general electrical energy system (EES) as a negative feedback configuration comprising a planar electrical network subsystem and a subsystem of single-port components. The input-output specifications of all components are in terms of power and voltage. This mathematical modeling supports the basic physical functionality of balancing power supply and demand at the acceptable Quality of Service (QoS). These input-output specifications are met by the controllable components equipped with the newly proposed distributed control. We show that these controllers enable stable and feasible system-level closed-loop dynamics. Moreover, an interactive algorithm for autonomous adjustments of their controller set points based on the information exchange with neighboring components is introduced. This serves as a proof-of-concept illustration of how components adjust their power and voltage toward a system-level equilibrium. Such process is the basis for autonomous reconfigurable operation of small microgrids. As the first step toward scaling up the proposed concepts, we consider the problem of enhanced automatic generation control (E-AGC) for systems with highly dynamic load variations, including effects of intermittent renewable generation. Further work is needed to fully generalize this approach for control design of large-scale EES. In addition to theoretical results, we also report the results of several numerical and hardware tests. These show the effectiveness of the proposed approach in fairly complex scenarios, including unplanned large faults and hard-to-predict fast-varying power disturbances.
by Xia Miao.
Ph. D.
Ph.D. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
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Cliff, Oliver. "Information-theoretic Reasoning in Distributed and Autonomous Systems." Thesis, The University of Sydney, 2019. http://hdl.handle.net/2123/20512.

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The increasing prevalence of distributed and autonomous systems is transforming decision making in industries as diverse as agriculture, environmental monitoring, and healthcare. Despite significant efforts, challenges remain in robustly planning under uncertainty. In this thesis, we present a number of information-theoretic decision rules for improving the analysis and control of complex adaptive systems. We begin with the problem of quantifying the data storage (memory) and transfer (communication) within information processing systems. We develop an information-theoretic framework to study nonlinear interactions within cooperative and adversarial scenarios, solely from observations of each agent's dynamics. This framework is applied to simulations of robotic soccer games, where the measures reveal insights into team performance, including correlations of the information dynamics to the scoreline. We then study the communication between processes with latent nonlinear dynamics that are observed only through a filter. By using methods from differential topology, we show that the information-theoretic measures commonly used to infer communication in observed systems can also be used in certain partially observed systems. For robotic environmental monitoring, the quality of data depends on the placement of sensors. These locations can be improved by either better estimating the quality of future viewpoints or by a team of robots operating concurrently. By robustly handling the uncertainty of sensor model measurements, we are able to present the first end-to-end robotic system for autonomously tracking small dynamic animals, with a performance comparable to human trackers. We then solve the issue of coordinating multi-robot systems through distributed optimisation techniques. These allow us to develop non-myopic robot trajectories for these tasks and, importantly, show that these algorithms provide guarantees for convergence rates to the optimal payoff sequence.
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Athauda, Rukshan Indika. "Integration and querying of heterogeneous, autonomous, distributed database systems." FIU Digital Commons, 2000. http://digitalcommons.fiu.edu/etd/1332.

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Today, databases have become an integral part of information systems. In the past two decades, we have seen different database systems being developed independently and used in different applications domains. Today's interconnected networks and advanced applications, such as data warehousing, data mining & knowledge discovery and intelligent data access to information on the Web, have created a need for integrated access to such heterogeneous, autonomous, distributed database systems. Heterogeneous/multidatabase research has focused on this issue resulting in many different approaches. However, a single, generally accepted methodology in academia or industry has not emerged providing ubiquitous intelligent data access from heterogeneous, autonomous, distributed information sources. This thesis describes a heterogeneous database system being developed at Highperformance Database Research Center (HPDRC). A major impediment to ubiquitous deployment of multidatabase technology is the difficulty in resolving semantic heterogeneity. That is, identifying related information sources for integration and querying purposes. Our approach considers the semantics of the meta-data constructs in resolving this issue. The major contributions of the thesis work include: (i.) providing a scalable, easy-to-implement architecture for developing a heterogeneous multidatabase system, utilizing Semantic Binary Object-oriented Data Model (Sem-ODM) and Semantic SQL query language to capture the semantics of the data sources being integrated and to provide an easy-to-use query facility; (ii.) a methodology for semantic heterogeneity resolution by investigating into the extents of the meta-data constructs of component schemas. This methodology is shown to be correct, complete and unambiguous; (iii.) a semi-automated technique for identifying semantic relations, which is the basis of semantic knowledge for integration and querying, using shared ontologies for context-mediation; (iv.) resolutions for schematic conflicts and a language for defining global views from a set of component Sem-ODM schemas; (v.) design of a knowledge base for storing and manipulating meta-data and knowledge acquired during the integration process. This knowledge base acts as the interface between integration and query processing modules; (vi.) techniques for Semantic SQL query processing and optimization based on semantic knowledge in a heterogeneous database environment; and (vii.) a framework for intelligent computing and communication on the Internet applying the concepts of our work.
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Taylor, Philip Charles. "Distributed intelligent load control of autonomous renewable energy systems." Thesis, University of Manchester, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.550559.

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A number of load control techniques and technologies have already been developed for autonomous power systems but no single technique has been widely adopted. Many of these load control systems have been partially successful but have suffered from a number of limitations that were addressed as part of this project. This thesis describes the development of distributed intelligent load controllers designed to address the limitations of previous load control solutions. A self-tuning fuzzy controller was developed to improve the power quality and efficiency of autonomous renewable energy systems. A laboratory wind-diesel test rig was developed to aid the design and testing of the load controller hardware and software. Computer models of wind powered and wind-diesel powered networks were produced to enable the design and testing of distributed fuzzy load control algorithms. The load controllers were tested throughout the development process on four autonomous renewable energy systems: - A single phase 25kVA run of river micro-hydro system in Scotland - A wind only system in the UK, with a 60kW stall regulated wind turbine fitted with a synchronous generator - A 30kW micro-hydro system on the island of Rum in Scotland - A 93kW wind-diesel system at the Rutherford Appleton Laboratories in the UK which used a 45kW stall regulated wind turbine fitted with an induction generator. The site results were promising and showed that distributed intelligent load control is an effective technique for controlling autonomous renewable energy systems.
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Santos, Vasco Pedro dos Anjos e. "DSAAR: distributed software architecture for autonomous robots." Master's thesis, FCT - UNL, 2009. http://hdl.handle.net/10362/1913.

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Dissertação apresentada na Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa para obtenção do grau de Mestre em Engenharia Electrotécnica
This dissertation presents a software architecture called the Distributed Software Architecture for Autonomous Robots (DSAAR), which is designed to provide the fast development and prototyping of multi-robot systems. The DSAAR building blocks allow engineers to focus on the behavioural model of robots and collectives. This architecture is of special interest in domains where several human, robot, and software agents have to interact continuously. Thus, fast prototyping and reusability is a must. DSAAR tries to cope with these requirements towards an advanced solution to the n-humans and m-robots problem with a set of design good practices and development tools. This dissertation will also focus on Human-Robot Interaction, mainly on the subject of teleoperation. In teleoperation human judgement is an integral part of the process, heavily influenced by the telemetry data received from the remote environment. So the speed in which commands are given and the telemetry data is received, is of crucial importance. Using the DSAAR architecture a teleoperation approach is proposed. This approach was designed to provide all entities present in the network a shared reality, where every entity is an information source in an approach similar to the distributed blackboard. This solution was designed to accomplish a real time response, as well as, the completest perception of the robots’ surroundings. Experimental results obtained with the physical robot suggest that the system is able to guarantee a close interaction between users and robot.
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Ferdowsi, Khosrowshahi Aidin. "Distributed Machine Learning for Autonomous and Secure Cyber-physical Systems." Diss., Virginia Tech, 2020. http://hdl.handle.net/10919/99466.

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Autonomous cyber-physical systems (CPSs) such as autonomous connected vehicles (ACVs), unmanned aerial vehicles (UAVs), critical infrastructure (CI), and the Internet of Things (IoT) will be essential to the functioning of our modern economies and societies. Therefore, maintaining the autonomy of CPSs as well as their stability, robustness, and security (SRS) in face of exogenous and disruptive events is a critical challenge. In particular, it is crucial for CPSs to be able to not only operate optimally in the vicinity of a normal state but to also be robust and secure so as to withstand potential failures, malfunctions, and intentional attacks. However, to evaluate and improve the SRS of CPSs one must overcome many technical challenges such as the unpredictable behavior of a CPS's cyber-physical environment, the vulnerability to various disruptive events, and the interdependency between CPSs. The primary goal of this dissertation is, thus, to develop novel foundational analytical tools, that weave together notions from machine learning, game theory, and control theory, in order to study, analyze, and optimize SRS of autonomous CPSs. Towards achieving this overarching goal, this dissertation led to several major contributions. First, a comprehensive control and learning framework was proposed to thwart cyber and physical attacks on ACV networks. This framework brings together new ideas from optimal control and reinforcement learning (RL) to derive a new optimal safe controller for ACVs in order to maximize the street traffic flow while minimizing the risk of accidents. Simulation results show that the proposed optimal safe controller outperforms the current state of the art controllers by maximizing the robustness of ACVs to physical attacks. Furthermore, using techniques from convex optimization and deep RL a joint trajectory and scheduling policy is proposed in UAV-assisted networks that aims at maintaining the freshness of ground node data at the UAV. The analytical and simulation results show that the proposed policy can outperform policies such discretized state RL and value-based methods in terms of maximizing the freshness of data. Second, in the IoT domain, a novel watermarking algorithm, based on long short term memory cells, is proposed for dynamic authentication of IoT signals. The proposed watermarking algorithm is coupled with a game-theoretic framework so as to enable efficient authentication in massive IoT systems. Simulation results show that using our approach, IoT messages can be transmitted from IoT devices with an almost 100% reliability. Next, a brainstorming generative adversarial network (BGAN) framework is proposed. It is shown that this framework can learn to generate real-looking data in a distributed fashion while preserving the privacy of agents (e.g. IoT devices, ACVs, etc). The analytical and simulation results show that the proposed BGAN architecture allows heterogeneous neural network designs for agents, works without reliance on a central controller, and has a lower communication over head compared to other state-of-the-art distributed architectures. Last, but not least, the SRS challenges of interdependent CI (ICI) are addressed. Novel game-theoretic frameworks are proposed that allow the ICI administrator to assign different protection levels on ICI components to maximizing the expected ICI security. The mixed-strategy Nash of the games are derived analytically. Simulation results coupled with theoretical analysis show that, using the proposed games, the administrator can maximize the security level in ICI components. In summary, this dissertation provided major contributions across the areas of CPSs, machine learning, game theory, and control theory with the goal of ensuring SRS across various domains such as autonomous vehicle networks, IoT systems, and ICIs. The proposed approaches provide the necessary fundamentals that can lay the foundations of SRS in CPSs and pave the way toward the practical deployment of autonomous CPSs and applications.
Doctor of Philosophy
In order to deliver innovative technological services to their residents, smart cities will rely on autonomous cyber-physical systems (CPSs) such as cars, drones, sensors, power grids, and other networks of digital devices. Maintaining stability, robustness, and security (SRS) of those smart city CPSs is essential for the functioning of our modern economies and societies. SRS can be defined as the ability of a CPS, such as an autonomous vehicular system, to operate without disruption in its quality of service. In order to guarantee SRS of CPSs one must overcome many technical challenges such as CPSs' vulnerability to various disruptive events such as natural disasters or cyber attacks, limited resources, scale, and interdependency. Such challenges must be considered for CPSs in order to design vehicles that are controlled autonomously and whose motion is robust against unpredictable events in their trajectory, to implement stable Internet of digital devices that work with a minimum communication delay, or to secure critical infrastructure to provide services such as electricity, gas, and water systems. The primary goal of this dissertation is, thus, to develop novel foundational analytical tools, that weave together notions from machine learning, game theory, and control theory, in order to study, analyze, and optimize SRS of autonomous CPSs which eventually will improve the quality of service provided by smart cities. To this end, various frameworks and effective algorithms are proposed in order to enhance the SRS of CPSs and pave the way toward the practical deployment of autonomous CPSs and applications. The results show that the developed solutions can enable a CPS to operate efficiently while maintaining its SRS. As such, the outcomes of this research can be used as a building block for the large deployment of smart city technologies that can be of immense benefit to tomorrow's societies.
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Bordallo, Micó Alejandro. "Intention prediction for interactive navigation in distributed robotic systems." Thesis, University of Edinburgh, 2017. http://hdl.handle.net/1842/28802.

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Modern applications of mobile robots require them to have the ability to safely and effectively navigate in human environments. New challenges arise when these robots must plan their motion in a human-aware fashion. Current methods addressing this problem have focused mainly on the activity forecasting aspect, aiming at improving predictions without considering the active nature of the interaction, i.e. the robot’s effect on the environment and consequent issues such as reciprocity. Furthermore, many methods rely on computationally expensive offline training of predictive models that may not be well suited to rapidly evolving dynamic environments. This thesis presents a novel approach for enabling autonomous robots to navigate socially in environments with humans. Following formulations of the inverse planning problem, agents reason about the intentions of other agents and make predictions about their future interactive motion. A technique is proposed to implement counterfactual reasoning over a parametrised set of light-weight reciprocal motion models, thus making it more tractable to maintain beliefs over the future trajectories of other agents towards plausible goals. The speed of inference and the effectiveness of the algorithms is demonstrated via physical robot experiments, where computationally constrained robots navigate amongst humans in a distributed multi-sensor setup, able to infer other agents’ intentions as fast as 100ms after the first observation. While intention inference is a key aspect of successful human-robot interaction, executing any task requires planning that takes into account the predicted goals and trajectories of other agents, e.g., pedestrians. It is well known that robots demonstrate unwanted behaviours, such as freezing or becoming sluggishly responsive, when placed in dynamic and cluttered environments, due to the way in which safety margins according to simple heuristics end up covering the entire feasible space of motion. The presented approach makes more refined predictions about future movement, which enables robots to find collision-free paths quickly and efficiently. This thesis describes a novel technique for generating "interactive costmaps", a representation of the planner’s costs and rewards across time and space, providing an autonomous robot with the information required to navigate socially given the estimate of other agents’ intentions. This multi-layered costmap deters the robot from obstructing while encouraging social navigation respectful of other agents’ activity. Results show that this approach minimises collisions and near-collisions, minimises travel times for agents, and importantly offers the same computational cost as the most common costmap alternatives for navigation. A key part of the practical deployment of such technologies is their ease of implementation and configuration. Since every use case and environment is different and distinct, the presented methods use online adaptation to learn parameters of the navigating agents during runtime. Furthermore, this thesis includes a novel technique for allocating tasks in distributed robotics systems, where a tool is provided to maximise the performance on any distributed setup by automatic parameter tuning. All of these methods are implemented in ROS and distributed as open-source. The ultimate aim is to provide an accessible and efficient framework that may be seamlessly deployed on modern robots, enabling widespread use of intention prediction for interactive navigation in distributed robotic systems.
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Richard, Mark G. "Cooperative control of distributed autonomous systems with applications to wireless sensor networks." Thesis, Monterey, Calif. : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Jun/09Jun%5FRichard.pdf.

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Thesis (M.S. in Mechanical Engineering)--Naval Postgraduate School, June 2009.
Thesis Advisor(s): Lee, Deok Jin ; Kaminer, Issac I. "June 2009." Description based on title screen as viewed on 13 July 2009. Author(s) subject terms: Unmanned Aerial Vehicle, UAV, extremum seeking, simulink, high bandwidth communication links, SNR Model, coordinated control, cooperative control, decentralized control, wireless sensor network. Includes bibliographical references (p. 51). Also available in print.
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Hosseinimehr, Tahoura. "Power Management of Autonomous Microgrids with Distributed Generations and Energy Storage Systems." Thesis, Curtin University, 2017. http://hdl.handle.net/20.500.11937/59086.

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This thesis is mainly focused on the development of reliable power management strategics for islanded IVIGs. The main objectives of the proposed strategics are to provide accurate active and reactive power sharing, maintain system power balance, coordinate energy storage systems with distributed energy resources, enhance lifetime of the batteries by controlling their state of charge, and efficiently employ renewable energy sources such as photovoltaic (PV) systems in the lVIG, etc.
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Books on the topic "Autonomous distributed systems"

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Matsuno, Fumitoshi, Shun-ichi Azuma, and Masahito Yamamoto, eds. Distributed Autonomous Robotic Systems. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92790-5.

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Asama, Hajime, Toshio Fukuda, Tamio Arai, and Isao Endo, eds. Distributed Autonomous Robotic Systems. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2.

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Correll, Nikolaus, Mac Schwager, and Michael Otte, eds. Distributed Autonomous Robotic Systems. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05816-6.

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Ani Hsieh, M., and Gregory Chirikjian, eds. Distributed Autonomous Robotic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-55146-8.

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Chong, Nak-Young, and Young-Jo Cho, eds. Distributed Autonomous Robotic Systems. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55879-8.

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Groß, Roderich, Andreas Kolling, Spring Berman, Emilio Frazzoli, Alcherio Martinoli, Fumitoshi Matsuno, and Melvin Gauci, eds. Distributed Autonomous Robotic Systems. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73008-0.

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Martinoli, Alcherio, Francesco Mondada, Nikolaus Correll, Grégory Mermoud, Magnus Egerstedt, M. Ani Hsieh, Lynne E. Parker, and Kasper Støy, eds. Distributed Autonomous Robotic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32723-0.

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Asama, Hajime. Distributed Autonomous Robotic Systems. Tokyo: Springer Japan, 1994.

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1959-, Asama H., and International Symposium of Distributed Autonomous Robotic Systems (2nd : 1994 : Wakō-shi, Japan), eds. Distributed autonomous robotic systems. Tokyo: Springer-Verlag, 1994.

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Lueth, Tim. Distributed Autonomous Robotic Systems 3. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998.

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Book chapters on the topic "Autonomous distributed systems"

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Cardon, Alain, and Mhamed Itmi. "Global Autonomy of Distributed Autonomous Systems." In New Autonomous Systems, 197–210. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119287858.ch7.

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Asama, Hajime. "Trends of Distributed Autonomous Robotic Systems." In Distributed Autonomous Robotic Systems, 3–8. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_1.

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Groß, Roderich, Andreas Kolling, Spring Berman, Emilio Frazzoli, Alcherio Martinoli, Fumitoshi Matsuno, and Melvin Gauci. "Correction to: Distributed Autonomous Robotic Systems." In Distributed Autonomous Robotic Systems, C1. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73008-0_48.

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Shibao, Koichi, and Yuji Naka. "Optimization of the Distributed Systems by Autonomous Cooperation —Distributed Maximum Principle—." In Distributed Autonomous Robotic Systems, 29–40. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_4.

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Fukuda, Toshio, and Kousuke Sekiyama. "Fusion Strategy for Time Series Prediction and Knowledge based Reasoning for Intelligent Communication." In Distributed Autonomous Robotic Systems, 99–110. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_10.

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Noborio, Hiroshi, and Takashi Yoshioka. "On a Deadlock-free Characteristic of the On-line and Decentralized Path-planning for Multiple Automata." In Distributed Autonomous Robotic Systems, 111–22. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_11.

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Ota, Jun, Tamio Arai, and Yoichi Yokogawa. "Distributed Strategy-making Method in Multiple Mobile Robot System." In Distributed Autonomous Robotic Systems, 123–33. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_12.

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Wang, Jing, and Suparerk Premvuti. "Fully Distributed Traffic Regulation and Control for Multiple Autonomous Mobile Robots Operating in Discrete Space." In Distributed Autonomous Robotic Systems, 134–61. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_13.

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Premvuti, Suparerk, and Jing Wang. "A Medium Access Protocol (CSMA/CD-W) Supporting Wireless Inter-Robot Communication in Distributed Robotic Systems." In Distributed Autonomous Robotic Systems, 165–75. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_14.

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Kotosaka, Shin’ya, Hajime Asama, Hayato Kaetsu, Hiromichi Ohmori, Isao Endo, Toshio Fukuda, Fumihito Arai, and Guoqing Xue. "The Design of Communication Network for Dynamically Reconfigurable Robotic System." In Distributed Autonomous Robotic Systems, 176–84. Tokyo: Springer Japan, 1994. http://dx.doi.org/10.1007/978-4-431-68275-2_15.

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Conference papers on the topic "Autonomous distributed systems"

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Palomeras, N., J. C. Garcia, M. Prats, J. J. Fernandez, P. J. Sanz, and P. Ridao. "A distributed architecture for enabling autonomous underwater Intervention Missions." In 2010 4th Annual IEEE Systems Conference. IEEE, 2010. http://dx.doi.org/10.1109/systems.2010.5482349.

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Pschetz, Larissa, Kruakae Pothong, and Chris Speed. "Autonomous Distributed Energy Systems." In CHI '19: CHI Conference on Human Factors in Computing Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3290605.3300617.

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Löhr, Klaus-Peter, Joachim Müller, and Lutz Nentwig. "Distributed programming for autonomous systems." In the 3rd workshop. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/504092.504112.

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Burton, Isaac, and Jeremy Straub. "Autonomous Distributed Electronic Warfare System of Systems." In 2019 14th Annual Conference System of Systems Engineering (SoSE). IEEE, 2019. http://dx.doi.org/10.1109/sysose.2019.8753838.

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Iqbal, K., H. F. Ahmad, A. Ali, H. Suguri, and M. Jamshed. "Autonomous distributed service system implementation." In 24th International Conference on Distributed Computing Systems Workshops, 2004. Proceedings. IEEE, 2004. http://dx.doi.org/10.1109/icdcsw.2004.1284103.

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Rahman, Saifur, Manisa Pipattanasomporn, and Yonael Teklu. "Intelligent Distributed Autonomous Power Systems (IDAPS)." In 2007 IEEE Power Engineering Society General Meeting. IEEE, 2007. http://dx.doi.org/10.1109/pes.2007.386043.

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Imran, Muhammad. "Distributed, Autonomous and Resilient Networks." In ICFNDS '17: International Conference on Future Networks and Distributed Systems. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3102304.3102308.

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Danneker, Scott. "Distributed thrust and autonomous ground handling." In 13th Lighter-Than-Air Systems Technology Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1999. http://dx.doi.org/10.2514/6.1999-3905.

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Bridges, Christopher P., and Tanya Vladimirova. "Agent computing applications in distributed satellite systems." In 2009 International Symposium on Autonomous Decentralized Systems (ISADS). IEEE, 2009. http://dx.doi.org/10.1109/isads.2009.5207326.

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Boughaci, Dalila, Habiba Drias, Brahim Oubeka, Abdelkader Aissioui, and Belaid Benhamou. "A Distributed Firewall using Autonomous Agents." In 2006 International Conference on Dependability of Computer Systems. IEEE, 2006. http://dx.doi.org/10.1109/depcos-relcomex.2006.1.

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Reports on the topic "Autonomous distributed systems"

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Jannett, Thomas C. Intelligent Control for Future Autonomous Distributed Sensor Systems. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada468584.

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Smith, Brian. Autonomous Distributed Systems - Application of Ultra Low Power Technology. Fort Belvoir, VA: Defense Technical Information Center, November 2002. http://dx.doi.org/10.21236/ada410355.

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Blidberg, D. R. Cooperative Distributed Problem Solving for Controlling Semi-Autonomous and Autonomous Oceanographic Sampling Systems - Phase 3. Fort Belvoir, VA: Defense Technical Information Center, September 2002. http://dx.doi.org/10.21236/ada628434.

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Mori, Shozo, Bruce D'Ambrosio, and Doug Hart. Autonomous Distributed Systems. Multiple-Level Distributed Data Fusion for Future DADS Using Bayesian Network Technology. Fort Belvoir, VA: Defense Technical Information Center, January 2002. http://dx.doi.org/10.21236/ada399999.

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Zhou, Shengli. The Next Milestone: A Multicarrier Acoustic MODEM With Channel- and Network-Adaptivity for Underwater Autonomous Distributed Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2009. http://dx.doi.org/10.21236/ada531930.

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Zhou, Shengli. The Next Milestone: A Multicarrier Acoustic MODEM With Channel- and Network-Adaptivity for Underwater Autonomous Distributed Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada533082.

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Zhou, Shengli. The Next Milestone: A Multicarrier Acoustic MODEM with Channel- and Network-Adaptivity for Underwater Autonomous Distributed Systems. Fort Belvoir, VA: Defense Technical Information Center, September 2010. http://dx.doi.org/10.21236/ada542191.

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Smith, Clint, Andmorgan Fischer, Alex Ly, and Michael Anderson. Autonomous QUerying and PATHogen threat agent sensor system (AQUA PATH) : monitoring source waters with geospatially wirelessly networked distributed sensing systems. Engineer Research and Development Center (U.S.), July 2020. http://dx.doi.org/10.21079/11681/37533.

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Siebenaler, Shane. PR-015-163766-R01 Field Testing of Distributed Acoustic Sensing Systems. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), July 2018. http://dx.doi.org/10.55274/r0011503.

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Abstract:
Distributed acoustic sensing (DAS) technology utilizes a fiber-optic cable as a distributed vibration sensor that can be installed in a right-of-way to monitor for pipeline leaks and to identify third-party interference (TPI), such as mechanized excavation, hand digging, etc. Various laboratory tests have been performed to demonstrate that DAS has the potential to be a flexible solution for pipeline operators. A key gap that needs to be assessed is the ability of the technology to serve its intended leak detection and TPI functions while not generating alarms at any other times. The most comprehensive means of performing such an evaluation is through an actual field demonstration of DAS technology on an operational pipeline. This report documents a ten-week-long test of four commercially available DAS technologies on an operational pipeline. The pipeline segment is 25-kilometers in length, and the systems were configured to autonomously alarm to leaks and mechanical digging. This research demonstrates the real-world performance of such systems and provides qualitative information in regards to the operational requirements for sustained deployment of DAS technology. This document has a related webinar. (member login required)
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TITOVA, E. FEATURES OF MIGRATION POLICY IN THE JEWISH AUTONOMOUS REGION. Science and Innovation Center Publishing House, 2021. http://dx.doi.org/10.12731/2077-1770-2021-13-4-2-54-70.

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The article reveals the features of the state mechanism for regulating labor migration in the Jewish Autonomous Region. It is noted that labor migration is an integral part of the economic development of the region. The purpose of the study is the peculiarities of solving the problems of optimizing the mechanisms for regulating labor migration in the Jewish Autonomous Region (JAO). The practical significance of the study is underscored by the growing resource requirements of the Jewish Autonomous Region. The importance of attracting labor migrants from the widest list of countries, to increase the exchange of experience and improve interethnic relations, the organization of programs to increase the flow of willing workers and promising employers, is highlighted. The scientific novelty of the research is in the designation of the latest methods and state programs aimed at improving the efficiency of the labor migration management mechanism. Every year, the number of migrants illegally staying on the territory of Russia is growing, and the authorities of the Russian Federation are trying to improve the methods of control of foreign citizens entering the country, which makes it easier, but at the same time more effective, to exercise control over migrants and distribute it in. areas such as the patent system, employee-to-employer linkage and simplified taxation.
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