Multi-UAV planning and task allocation (Record no. 71774)

000 -LEADER
fixed length control field 05921cam a2200553Ki 4500
001 - CONTROL NUMBER
control field 9781003026686
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220531132409.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200404s2020 flu ob 001 0 eng d
040 ## - Cataloging Source
-- OCoLC-P
-- eng
-- OCoLC-P
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000049985
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000049981
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781003026686
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1003026680
-- (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781000049909
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1000049906
-- (electronic bk. : PDF)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9780367457822
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 0367457822
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1148110907
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC-P)1148110907
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TL685.35
072 #7 -
-- COM
-- 012040
-- bisacsh
072 #7 -
-- COM
-- 037000
-- bisacsh
072 #7 -
-- COM
-- 044000
-- bisacsh
072 #7 -
-- UMB
-- bicssc
082 04 -
-- 629.133/39
-- 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bestaoui Sebbane, Yasmina,
Relator term author.
245 10 - TITLE STATEMENT
Title Multi-UAV planning and task allocation
Medium [electronic resource] /
Statement of responsibility, etc. Yasmina Bestaoui-Sebbane.
264 #1 -
-- Boca Raton :
-- CRC Press,
-- 2020.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
490 1# -
-- Chapman & Hall/CRC artificial intelligence and robotics series
505 0# -
-- Intro -- Half Title -- Series Page -- Title Page -- Copyright Page -- Table of Contents -- Author -- Chapter 1 Multi-Aerial-Robot Planning -- 1.1 Introduction -- 1.2 Team Approach -- 1.2.1 Cooperation -- 1.2.2 Cascade-Type Guidance Law -- 1.2.3 Consensus Approach -- 1.2.3.1 Consensus Opinion -- 1.2.3.2 Reachability and Observability -- 1.2.4 Flocking Behavior -- 1.2.4.1 Collective Potential of Flocks -- 1.2.4.2 Distributed Flocking Algorithms -- 1.2.5 Connectivity and Convergence of Formations -- 1.2.5.1 Problem Formulation -- 1.2.5.2 Stability of Formations in Time-Invariant Communication
505 8# -
-- 1.3 Deterministic Decision-Making -- 1.3.1 Distributed Receding Horizon Control -- 1.3.2 Conflict Resolution -- 1.3.2.1 Distributed Reactive Collision Avoidance -- 1.3.2.2 Deconfliction Maintenance -- 1.3.3 Artificial Potential -- 1.3.3.1 Velocity Field -- 1.3.3.2 Artificial Potential Field -- 1.3.3.3 Pattern Formation and Reconfigurability -- 1.3.4 Symbolic Planning -- 1.4 Association with Limited Communication -- 1.4.1 Introduction -- 1.4.2 Problem Formulation -- 1.4.2.1 Decentralized Resolution of Inconsistent Association -- 1.4.3 Genetic Algorithms -- 1.4.4 Games Theory Reasoning
505 8# -
-- 1.4.4.1 Cooperative Protocol -- 1.4.4.2 Non-Cooperative Protocol -- 1.4.4.3 Leader/Follower Protocol -- 1.5 Multiagent Decision-Making under Uncertainty -- 1.5.1 Decentralized Team Decision Problem -- 1.5.1.1 Bayesian Strategy -- 1.5.1.2 Semi-Modeler Strategy -- 1.5.1.3 Communication Models -- 1.5.2 Algorithms for Optimal Planning -- 1.5.2.1 Multiagent A* (MAA*): A Heuristic Search Algorithm for DEC-POMDP -- 1.5.2.2 Policy Iteration for Infinite Horizon -- 1.5.2.3 Linear-Quadratic Approach -- 1.5.2.4 Decentralized Chance-Constrained Finite Horizon Optimal Control
505 8# -
-- 1.5.3 Task Allocation: Optimal Assignment -- 1.5.3.1 Hungarian Algorithm -- 1.5.3.2 Interval Hungarian Algorithm -- 1.5.3.3 Quantifying the Effect of Uncertainty -- 1.5.3.4 Uncertainty Measurement for a Single Utility -- 1.5.4 Distributed Chance-Constrained Task Allocation -- 1.5.4.1 Chance-Constrained Task Allocation -- 1.5.4.2 Distributed Approximation to the Chance-Constrained Task Allocation Problem -- 1.6 Case Studies -- 1.6.1 Reconnaissance Mission -- 1.6.1.1 General Vehicle Routing Problem -- 1.6.1.2 Chinese Postman Problem -- 1.6.1.3 Cluster Algorithm -- 1.6.1.4 The Rural CPP
505 8# -
-- 1.6.2 Expanding Grid Coverage -- 1.6.3 Optimization of Perimeter Patrol Operations -- 1.6.3.1 Multiagent Markov Decision Process -- 1.6.3.2 Anytime Error Minimization Search -- 1.6.4 Stochastic Strategies for Surveillance -- 1.6.4.1 Analysis Methods -- 1.6.4.2 Problems in 1D -- 1.6.4.3 Complete Graphs -- 1.7 Conclusions -- Chapter 2 Flight Planning -- 2.1 Introduction -- 2.2 Path and Trajectory Planning -- 2.2.1 Trim Trajectories -- 2.2.2 Trajectory Planning -- 2.2.2.1 Time Optimal Trajectories -- 2.2.2.2 Nonholonomic Motion Planning -- 2.2.3 Path Planning -- 2.2.3.1 B-Spline Formulation
520 ## -
-- Multi-robot systems are a major research topic in robotics. Designing, testing, and deploying aerial robots in the real world is a possibility due to recent technological advances. This book explores different aspects of cooperation in multiagent systems. It covers the team approach as well as deterministic decision-making. It also presents distributed receding horizon control, as well as conflict resolution, artificial potentials, and symbolic planning. The book also covers association with limited communications, as well as genetic algorithms and game theory reasoning. Multiagent decision-making and algorithms for optimal planning are also covered along with case studies. Key features: Provides a comprehensive introduction to multi-robot systems planning and task allocation Explores multi-robot aerial planning; flight planning; orienteering and coverage; and deployment, patrolling, and foraging Includes real-world case studies Treats different aspects of cooperation in multiagent systems Both scientists and practitioners in the field of robotics will find this text valuable.
588 ## -
-- OCLC-licensed vendor bibliographic record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Drone aircraft
General subdivision Automatic control.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Multiagent systems.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Adaptive control systems.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Computer Graphics / Game Programming & Design
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Machine Theory
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element COMPUTERS / Neural Networks
Source of heading or term bisacsh
856 40 -
-- Taylor & Francis
-- https://www.taylorfrancis.com/books/9781003026686
856 42 -
-- OCLC metadata license agreement
-- http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf

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