Demand for this book will come from academics and practising engineers interested in the types of control presented (optimal and supervisory) as well as from those involved in traffic control (particularly in-building passenger traffic control).

Presents details of an unusual primary target for control (elevator systems) but one with much to contribute in more general traffic control Brings the reader up to date with a very competitive application of control which is constantly at the forefront in the use of new techniques Includes supplementary material: sn.pub/extras

Autorentext

Sandor Markon has 25 years experience as a designer, researcher and manager dealing with control systems with major elevator manufacturers. He is also active in publishing papers and abstracts in related fields. He has been involved in the installation of four generations of elevator systems in buildings world-wide. The current volume would gathers that knowledge together with that of other researchers currently scattered in short articles, patent disclosures, etc., into one place.

Inhalt
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.