Control of traffic systems in buildings

Transportation systems in buildings are part of everyday life: whether ferrying people twenty storeys up to the office or moving luggage to the airport check-in, 21st-century man relies on them. Control of Traffic Systems in Buildings presents the state of the art in the analysis and control of tran...

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Détails bibliographiques
Auteurs principaux: Markon, Sandor, 19..-, Bartz-Beielstein, Thomas, 19..- (Auteur), Kise, Hiroshi, 19..- (Auteur), Kitamura, Hajime, 1923-2003 (Auteur)
Format: Livre numérique
Langue:Anglais
Publié: London : Springer London [20..].
Cham : Springer Nature
Édition:1st ed. 2006.
Collection:Advances in Industrial Control
Accès en ligne:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Note: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Control of Traffic Systems in Buildings, Texte imprimé, 9781846284489
• Control of Traffic Systems in Buildings, Texte imprimé, 9781849966047
• Control of Traffic Systems in Buildings, Texte imprimé, 9781848005297
• Control of Traffic Systems in Buildings, Texte imprimé, 9781846284489
Table des matières:
  • Transportation Systems Passenger Transportation Systems Cargo Transportation Systems External Connections and Related Systems Modeling and Simulation General Modeling Concepts Queuing Models Modeling Techniques for Discrete Event Systems Scheduling Models with Transportation Intelligent Control Methods for Transportation Systems Analytical and Heuristic Control of Transportation Systems Adaptive Control by Neural Networks and Reinforcement Learning Genetic Algorithms for Control-system Optimization Control System Optimization by Evolution Strategies and Particle Swarm Optimization Intelligent Control by Combinatorial Optimization Topics in Modern Control for Transportation Systems The S-ring: a Transportation System Model for Benchmarking Elevator Group Control by Neural Networks and Stochastic Approximation Optimal Control by Evolution Strategies and Particle Swarm Optimization On Adaptive Cooperation of AGVs and Elevators in Buildings Optimal Control of Multicar Elevator Systems by Genetic Algorithms Analysis and Optimization for Automated Vehicle Routing Tabu-based Optimization for Input/Output Scheduling