Autonomous system (mathematics)

About: Autonomous system (mathematics) is a research topic. Over the lifetime, 1648 publications have been published within this topic receiving 38373 citations.

Complete damping of a linear autonomous differential-difference system by a controller of the same type

Abstract: For a spectrally controllable linear autonomous system of retarded type with commensurable delays, we construct a dynamic state feedback ensuring a complete damping of the original system. The closed-loop system is of retarded type as well. The results are illustrated by an example.

A Virtual Reality Tool for Teleoperation Research

Abstract: Efficiency in teleoperation systems is strongly affected by the relationship between the operator and the remote environment If the operator has access to easily comprehensible information, his capability for opportune decision making increases Virtual reality has been shown to be an effective means of displaying information to the human operator It allows the creation of three-dimensional and interactive environments, which can be explored and controlled in an intuitive way. In our system, called ASSET, we have applied virtual reality techniques in the design and implementation of a teleoperation system's human-machine interface. ASSET's objective was to create an object-oriented software framework for teleoperation systems development This tool allows flexible customizing and can be used as a test bed for evaluating interaction techniques, devices, simulation models and for research about autonomous agents.

Health Monitoring System for Autonomous Vehicles using Dynamic Bayesian Networks for Diagnosis and Prognosis

Abstract: Autonomous Vehicles have the potential to change the urban transport scenario. However, to be able to safely navigate autonomously they need to deal with faults that its components are subject to. Therefore, Health Monitoring System is a essential component of the autonomous system, since allows Fault Detection and Diagnosis. In addition, Prognosis System is also important, since it allows predictive maintenance and safer decisions during vehicle navigation. This paper presents a Hierarchical Component-based Health Monitoring System with Fault Detection, Diagnosis and Prognosis using Dynamic Bayesian Network (DBN) with residue generation, a combination of knowledge-based and model-based detection, diagnosis and prognosis approaches. We evaluate the proposed Dynamic Bayesian Network using different machine learning metrics and a dataset with sensor readings gathered using the CaRINA II autonomous vehicle platform, and the CARLA simulator. Both simulated and experimental results demonstrated a positive performance of the DBNs even with high rate of missing data for some of the model’s variables.

Agent-Based computing and programming of agent systems

Abstract: The concepts of autonomous agent and multi-agent system provide appropriate levels of abstraction for the design, implementation and simulation of many complex, distributed computational systems, particularly those systems open to external participants. Programming such agent systems presents many difficult challenges, both conceptually and practically, and addressing these challenges will be crucial for the development of agent technologies. We discuss, at a general level, some of the issues involved in programming multi-agent and open, distributed systems, drawing on the recently-published AgentLink III Roadmap of Agent Based Computing Technologies.

Distributed intelligence in autonomous multi-vehicle systems

Abstract: To make better use of existing infrastructures, new control methods are under development. In the Intelligent Infrastructures programme, an infrastructure is seen as a multi-agent system, with more or less autonomous subsystems that are related to each other in hierarchical, coordinated, cooperative, or non-cooperative way. Current controls for multi-vehicle systems are based on the hierarchical control concept. In this paper, it is shown how the incident handling, efficiency, and flexibility of multi-vehicle systems can be improved by applying a cooperative control strategy. An existing multi AGV application in a seaport illustrates that efficiency of operations can be improved considerably with smarter control. Finally, a research project is introduced concerning cooperative multi-agent control of true free-ranging automated guided vehicles.