AerospaceMASOUD NADI

PROF. AKBAR ZADEH

1

Introduction

Design for aerospace applications

Cooperative Decision Makers

Cooperative Air Traffic Control

Cooperative Collision Avoidance

Competitive Decision Makers

Competitive Air Traffic Control

Time-Dependent Cooperative Assignment

Cooperation strategies for finding targets

Distributed Computing on Satellites

2

Introduction

Aerodynamics

Aeronautics

Aerospace engineering

Aircraft

Astronautics

Space agencies

Space exploration

Spacecraft

3

Design for aerospace applications

Agent Models

Cooperative Agents

Competitive Agents

Strategic Agents

Applications

Air Traffic Management

Multi-Vehicle Coordination

Team Missions

STARMAC (Stanford Testbed of Autonomous Rotorcraft for Multi-Agent Control (STARMAC) )

Autonomous Rover Testbed

4

Cooperative Decision Makers

Centralized Problem Formulation

Global Cost Metrics

Distributed Optimization

Privacy of information

Distribution of computational burden

Robustness to failure

Complexity Analysis

5

Cooperative Air Traffic Control

Problems

Network Description

Cost Functions

6

Cooperative Collision Avoidance

Collision Avoidance Problem

Decentralized Algorithm

7

Competitive Decision Makers

Resource Allocation Equilibrium Properties

Distributed Market Mechanism

Dual Decomposition

Agent Optimization

Multiple Resources

8

Competitive Air Traffic Control

Discrete Path Flow Model

Network Definition

Discrete Path Flow Model

Discrete Airline Model

Market Mechanism for Discrete Path Flow Model

9

Up To Now

Cooperative Decision Makers

Cooperative Air Traffic Control

Cooperative Collision Avoidance

Competitive Decision Makers

Competitive Air Traffic Control

10

Time-Dependent Cooperative Assignment

Cooperative Moving Target Engagement (CMTE)

11

Cooperation strategies for finding targets

Swarm intelligence based approach

12

Cooperation strategies for finding targets

Evolutionary algorithm based approach

13

Distributed Computing on Satellites14

Refrences

Steven L. Waslander MULTI-AGENT SYSTEMS DESIGN FOR AEROSPACE APPLICATIONS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF AERONAUTICS AND ASTRONAUTICS AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY

Derek B. Kingston, Corey J. Schumacher, Time-Dependent Cooperative Assignment, 2005 American Control Conference June 8-10, 2005. Portland, OR, USA

Gervasio Varela, Pilar Caamaño, Félix Orjales, Álvaro Deibe,Fernando López-Peña, Richard J. Duro, Autonomous UAV based search operations using Constrained Sampling Evolutionary Algorithms , Neurocomputing 132 (2014) 54–67

CHRISTOPHER P. BRIDGES, TANYA VLADIMIROVA, Towards an Agent Computing Platform for Distributed Computing on Satellites , IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS VOL. 49, NO. 3 JULY 2013

15