Agent-based identification and control of voltage emergency situations

Abstract Designing aircraft parts requires extensive coordination among multiple distributed design groups. Achieving such a coordination is time-consuming and expensive, but the cost of ignoring or minimizing it is much higher in terms of delayed and inferior quality products. We have built a multi-agent-based system to provide the desired coordination among the design groups, the legacy applications, and other resources during the preliminary design (PD) process. A variety of agents are used to model the various design and control functionalities. The agent-representation includes a formal representation of the task-structures. A web-based user-interface provides high-level interface to the users. The agents collaborate to achieve the design goals.

Download Full-text

Formal Modeling and Analysis of Collaborative Humanoid Robotics

Rapid Automation ◽

10.4018/978-1-5225-8060-7.ch051 ◽

2019 ◽

pp. 1086-1108

Author(s):

Yujian Fu ◽

Zhijiang Dong ◽

Xudong He

Keyword(s):

Petri Net ◽

Control Strategies ◽

Formal Modeling ◽

Humanoid Robotics ◽

Modeling And Analysis ◽

Agent Based ◽

Design And Implementation ◽

Simulation Results ◽

And Control ◽

Successful Collaboration

A humanoid robot is inherently complex due to the heterogeneity of accessory devices and to the interactions of various interfaces, which will be exponentially increased in multiple robotics collaboration. Therefore, the design and implementation of multiple humanoid robotics (MHRs) remains a very challenging issue. It is known that formal methods provide a rigorous analysis of the complexity in both design of control and implementation of systems. This article presents an agent-based framework of formal modeling on the design of communication and control strategies of a team of autonomous robotics, to attain the specified tasks in a coordinated manner. To ensure a successful collaboration of multiple robotics, this formal agent-based framework captures behaviors in Petri Net models and specifies collaboration operations in four defined operations. To validate the framework, a non-trivial soccer bot set was implemented and simulation results were discussed.

Download Full-text

Management of Drought and Floods in Romania

Natural Resources Management ◽

10.4018/978-1-5225-0803-8.ch002 ◽

2017 ◽

pp. 20-63 ◽

Cited By ~ 2

Author(s):

Lucica Roşu ◽

Remus Zăgan

Keyword(s):

Climate Change ◽

Prevention And Control ◽

Flood Management ◽

Emergency Situations ◽

Droughts And Floods ◽

Eu Directives ◽

International Conventions ◽

And Control ◽

Operative Measures ◽

The Eu

This chapter presents concepts of drought and flood management, information on the steps taken and on the national policies applied in Romania in this field. The Romanian institutional framework for the management of droughts and floods is detailed, as well as the planning phase, the plans, the strategies and the programs that establish Romania's national priorities on climate change and the management of droughts and floods, in line with the EU directives and international conventions and treaties Romania is part of. Information is also given about preventive, operative measures of intervention and rehabilitation, as part of the operational and emergency situations response management, as well as the guidelines, trends and future actions of prevention and control for this category of disasters in Romania.

Download Full-text

Multi-Agent-Based Production Planning and Control

Multi-Agent-Based Production Planning and Control ◽

10.1002/9781118890073.ch3 ◽

2017 ◽

pp. 55-93

Keyword(s):

Production Planning ◽

Production Planning And Control ◽

Agent Based ◽

Planning And Control ◽

Multi Agent ◽

And Control

Download Full-text

Assessing the Impact of Temperature Change on the Effectiveness of Insecticide-Treated Nets

International Journal of Agent Technologies and Systems ◽

10.4018/jats.2011070103 ◽

2011 ◽

Vol 3 (3) ◽

pp. 35-48 ◽

Cited By ~ 2

Author(s):

Gregory J. Davis

Keyword(s):

Control Strategies ◽

Global Climate ◽

Financial Burden ◽

Insecticide Treated Nets ◽

Policy Makers ◽

Agent Based ◽

Mosquito Abundance ◽

Vector Borne ◽

And Control ◽

The Impact

Malaria is a vector-borne illness affecting millions of lives annually and imposes a heavy financial burden felt worldwide. Moreover, there is growing concern that global climate change, in particular, rising temperature, will increase this burden. As such, policy makers are in need of tools capable of informing them about the potential strengths and weaknesses of intervention and control strategies. A previously developed agent-based model of the Anopheles gambiae mosquito is extended, one of the primary vectors of malaria, to investigate how changes in temperature influence the dynamics of malaria transmission and the effectiveness of a common malaria intervention: insecticide-treated nets (ITNs). Results from the simulations suggest two important findings. Consistent with previous studies, an increase in mosquito abundance as temperature increases is observed. However, the increase in mosquito abundance reduces the effectiveness of ITNs at a given coverage level. The implications and limitations of these findings are discussed.

Download Full-text

Modelling transmission and control of the COVID-19 pandemic in Australia

Nature Communications ◽

10.1038/s41467-020-19393-6 ◽

2020 ◽

Vol 11 (1) ◽

Cited By ~ 26

Author(s):

Sheryl L. Chang ◽

Nathan Harding ◽

Cameron Zachreson ◽

Oliver M. Cliff ◽

Mikhail Prokopenko

Keyword(s):

Computational Simulation ◽

International Travel ◽

School Closures ◽

Agent Based ◽

Social Distancing ◽

Fine Grained ◽

Trade Offs ◽

Travel Restrictions ◽

High Level ◽

And Control

Abstract There is a continuing debate on relative benefits of various mitigation and suppression strategies aimed to control the spread of COVID-19. Here we report the results of agent-based modelling using a fine-grained computational simulation of the ongoing COVID-19 pandemic in Australia. This model is calibrated to match key characteristics of COVID-19 transmission. An important calibration outcome is the age-dependent fraction of symptomatic cases, with this fraction for children found to be one-fifth of such fraction for adults. We apply the model to compare several intervention strategies, including restrictions on international air travel, case isolation, home quarantine, social distancing with varying levels of compliance, and school closures. School closures are not found to bring decisive benefits unless coupled with high level of social distancing compliance. We report several trade-offs, and an important transition across the levels of social distancing compliance, in the range between 70% and 80% levels, with compliance at the 90% level found to control the disease within 13–14 weeks, when coupled with effective case isolation and international travel restrictions.

Download Full-text

Identification of Motion-Based Action Potentials in Neural Bundles

International Journal of Privacy and Health Information Management ◽

10.4018/ijphim.2014070102 ◽

2014 ◽

Vol 2 (2) ◽

pp. 22-40 ◽

Cited By ~ 2

Author(s):

Volkhard Klinger ◽

Arne Klauke

Keyword(s):

Action Potentials ◽

Learning Algorithm ◽

Inverse Kinematic ◽

Sensory Nerves ◽

Key Factors ◽

Agent Based ◽

Nerve Signal ◽

Multi Agent ◽

And Control ◽

Level Identification

Realizing a nerve signal based prostheses control or limb stimulation is a great challenge in medical technology. It requires a recording and an identification process of the motion-based action potentials of motor and sensory nerves within the corresponding neural bundle. Two additional key factors are used by multi agent-based learning algorithm: The anatomical disposition of the nerves within the neural bundle and the inverse kinematic. In this paper the authors introduce the Smart Modular Biosignal Acquisition, Identification and Control System and its application environment. They present the different process levels and their characteristic identification contribution and they give an overview of the multi-agent based identification framework. The authors show the verification environment and present results regarding the first-level identification procedure.

Download Full-text