Self-adaptation evaluation method in real time dynamics decision-making system based on grey close relationship

2013 ◽  
Vol 3 (3) ◽  
pp. 276-290 ◽  
Author(s):  
Jianjun Zhu
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Evaluation Method ◽  
Time Dynamics ◽  
Close Relationship ◽  
Decision Making System ◽  
Self Adaptation

scholarly journals Visual Flight Rules-Based Collision Avoidance Systems for UAV Flying in Civil Aerospace

Robotics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 9 ◽  
Author(s):  
Hamid Alturbeh ◽  
James F. Whidborne
Keyword(s):  
Decision Making ◽  
Optimal Control ◽  
Optimal Control Problem ◽  
Control Problem ◽  
Real Time ◽  
Collision Avoidance ◽  
Inverse Dynamics ◽  
Guidance System ◽  
Visual Flight Rules ◽  
Decision Making System

The operation of Unmanned Aerial Vehicles (UAVs) in civil airspace is restricted by the aviation authorities, which require full compliance with regulations that apply for manned aircraft. This paper proposes control algorithms for a collision avoidance system that can be used as an advisory system or a guidance system for UAVs that are flying in civil airspace under visual flight rules. A decision-making system for collision avoidance is developed based on the rules of the air. The proposed architecture of the decision-making system is engineered to be implementable in both manned aircraft and UAVs to perform different tasks ranging from collision detection to a safe avoidance manoeuvre initiation. Avoidance manoeuvres that are compliant with the rules of the air are proposed based on pilot suggestions for a subset of possible collision scenarios. The proposed avoidance manoeuvres are parameterized using a geometric approach. An optimal collision avoidance algorithm is developed for real-time local trajectory planning. Essentially, a finite-horizon optimal control problem is periodically solved in real-time hence updating the aircraft trajectory to avoid obstacles and track a predefined trajectory. The optimal control problem is formulated in output space, and parameterized by using B-splines. Then the optimal designed outputs are mapped into control inputs of the system by using the inverse dynamics of a fixed wing aircraft.

scholarly journals Multi-Ship Collision Avoidance Decision-Making Based on Collision Risk Index

2020 ◽  
Vol 8 (9) ◽  
pp. 640
Author(s):  
Yingjun Hu ◽  
Anmin Zhang ◽  
Wuliu Tian ◽  
Jinfen Zhang ◽  
Zebei Hou
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Risk Analysis ◽  
Real Time ◽  
Collision Avoidance ◽  
Evaluation Method ◽  
Risk Index ◽  
Collision Risk ◽  
Ship Collision ◽  
Risk Thresholds

Most maritime accidents are caused by human errors or failures. Providing early warning and decision support to the officer on watch (OOW) is one of the primary issues to reduce such errors and failures. In this paper, a quantitative real-time multi-ship collision risk analysis and collision avoidance decision-making model is proposed. Firstly, a multi-ship real-time collision risk analysis system was established under the overall requirements of the International Code for Collision Avoidance at Sea (COLREGs) and good seamanship, based on five collision risk influencing factors. Then, the fuzzy logic method is used to calculate the collision risk and analyze these elements in real time. Finally, decisions on changing course or changing speed are made to avoid collision. The results of collision avoidance decisions made at different collision risk thresholds are compared in a series of simulations. The results reflect that the multi-ship collision avoidance decision problem can be well-resolved using the proposed multi-ship collision risk evaluation method. In particular, the model can also make correct decisions when the collision risk thresholds of ships in the same scenario are different. The model can provide a good collision risk warning and decision support for the OOW in real-time mode.

A Study on the User Innovation Toolkit Model Based on Interactive Genetic Algorithms

2011 ◽  
Vol 58-60 ◽  
pp. 1836-1841
Author(s):  
Yan Sun ◽  
Xiao Jian Liu ◽  
Wan Liang Wang
Keyword(s):  
Decision Making ◽  
Genetic Algorithms ◽  
Evaluation Method ◽  
Solution Space ◽  
User Innovation ◽  
Interactive Genetic Algorithms ◽  
Decision Making System ◽  
The Subject ◽  
Technical Plan ◽  
Evaluation Information

A technical plan for realizing user toolkit for innovation (UTI) is proposed to release the vast creative energy of users, and help to make users qualified for the subject of innovation work. The model discussed in this paper is mainly aiming at two key problems in user innovation: 1) the essentials and technical access for the innovaiton style in the non-professional background of the ordinary users; 2) mechanism for driving innovaiton and optimization through user’s evaluation message. Interactive genetic algorithms (IGA) is applied to plan the functions of UTI, and is improved in several aspects for the demands of user innovation: 1) designed a selection based interactive evaluation method; 2) introduced market data as a kind of evaluation information; 3)built an integral user innovation decision making system; 4) visualized the optimizaion process, which enriched user’s perceptive interaction with UTI during working. The model also made regulations to IGA’s inner process, which strengthened IGA’s analyzing and mining ability to user’s evaluation information through latent local optimal chart making, solution space down-sizing and continuity building for discrete space.

scholarly journals A Distributed Computing Real-Time Safety System of Collaborative Robot

2020 ◽  
Vol 26 (2) ◽  
pp. 4-14
Author(s):  
Dawid Gradolewski ◽  
Dawid Maslowski ◽  
Damian Dziak ◽  
Bartosz Jachimczyk ◽  
Siva Teja Mundlamuri ◽  
...  
Keyword(s):  
Decision Making ◽  
Distributed Computing ◽  
Real Time ◽  
False Positive Rate ◽  
Safety System ◽  
Machine Learning Algorithms ◽  
Computing Paradigm ◽  
Positive Rate ◽  
Decision Making System ◽  
Collaborative Robot

Robotization has become common in modern factories due to its efficiency and cost-effectiveness. Lots of robots and manipulators share their workspaces with humans what could lead to hazardous situations causing health damage or even death. This article presents a real-time safety system applying the distributed computing paradigm for a collaborative robot. The system consists of detection/sensing modules connected with a server working as decision-making system. Each configurable sensing module pre-processes vision information and then sends to the server the images cropped to new objects extracted from a background. After identifying persons from the images, the decision-making system sends a request to the robot to perform pre-defined action. In the proposed solution, there are indicated three safety zones defined by three different actions on a robot motion. As identification method, state-of-the-art of Machine Learning algorithms, the Histogram of Oriented Gradients (HOG), Viola-Jones, and You Only Look Once (YOLO), have been examined and presented. The industrial environment tests indicated that YOLOv3 algorithm outperformed other solutions in terms of identification capabilities, false positive rate and maximum latency.

Development of a Real-Time Decision-Making System for Certifiable Autonomous Unmanned Systems

2012 ◽  
pp. 119-128
Author(s):  
Jens Halbig ◽  
André Windisch ◽  
Patrick Kingsbury ◽  
Norbert Oswald ◽  
Wolfram Hardt
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Unmanned Systems ◽  
Decision Making System

Methodical Framework of the Support and Decision-making System for the Collection and Disposal of Organic Raw Materials

2015 ◽  
Vol 1 (1) ◽  
pp. 29-34
Author(s):  
Sergei Shvorov ◽  
◽  
Dmitry Komarchuk ◽  
Peter Ohrimenko ◽  
Dmitry Chyrchenko ◽  
...  
Keyword(s):  
Decision Making ◽  
Raw Materials ◽  
Decision Making System

A Highly Efficient and Optimised Simulation Based Multi objective Decision-Making for FMS Control

2018 ◽  
Vol 6 (6) ◽  
pp. 98
Author(s):  
Shreyanshu Parhi ◽  
S. C. Srivastava
Keyword(s):  
Decision Making ◽  
Real Time ◽  
Manufacturing Industry ◽  
Simulation Software ◽  
Shop Floor ◽  
Simulation Tool ◽  
Routing Flexibility ◽  
Decision System ◽  
Multi Objective ◽  
Arena Simulation

Optimized and efficient decision-making systems is the burning topic of research in modern manufacturing industry. The aforesaid statement is validated by the fact that the limitations of traditional decision-making system compresses the length and breadth of multi-objective decision-system application in FMS.  The bright area of FMS with more complexity in control and reduced simpler configuration plays a vital role in decision-making domain. The decision-making process consists of various activities such as collection of data from shop floor; appealing the decision-making activity; evaluation of alternatives and finally execution of best decisions. While studying and identifying a suitable decision-making approach the key critical factors such as decision automation levels, routing flexibility levels and control strategies are also considered. This paper investigates the cordial relation between the system ideality and process response time with various prospective of decision-making approaches responsible for shop-floor control of FMS. These cases are implemented to a real-time FMS problem and it is solved using ARENA simulation tool. ARENA is a simulation software that is used to calculate the industrial problems by creating a virtual shop floor environment. This proposed topology is being validated in real time solution of FMS problems with and without implementation of decision system in ARENA simulation tool. The real-time FMS problem is considered under the case of full routing flexibility. Finally, the comparative analysis of the results is done graphically and conclusion is drawn.

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