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Hybrid Systems: Lecture Notes in Computer Science, cartea 736

Editat de Robert L. Grossman, Anil Nerode, Anders P. Ravn, Hans Rischel
en Limba Engleză Paperback – 5 oct 1993
Hybrid systems are networks of interacting digital andanalog devices. Control systems for inherently unstableaircraft and computer aided manufacturing are typicalapplications for hybrid systems, but due to the rapiddevelopment of processor and circuit technology modern carsand consumer electronics use software to control physicalprocesses. The identifying characteristic of hybrid systemsis that they incorporate both continuous components governedby differential equations and also digital components -digital computers, sensors, and actuators controlled byprograms.This volume of invited refereed papers is inspired by aworkshop on the Theory of Hybrid Systems, held at theTechnical University, Lyngby, Denmark, in October 1992, andby a prior Hybrid Systems Workshop, held at CornellUniversity, USA, in June 1991, organized by R.L. Grossmanand A. Nerode. Some papers are the final versions of paperspresented at these workshops and some are invited papersfrom other researchers who were not able to attend theseworkshops.
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Specificații

ISBN-13: 9783540573180
ISBN-10: 3540573186
Pagini: 488
Ilustrații: VIII, 476 p.
Dimensiuni: 216 x 279 x 26 mm
Greutate: 0.68 kg
Ediția:1993
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Lecture Notes in Computer Science

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Verifying hybrid systems.- An extended duration calculus for hybrid real-time systems.- Towards refining temporal specifications into hybrid systems.- Hybrid systems in TLA+.- Hybrid models with fairness and distributed clocks.- A compositional approach to the design of hybrid systems.- An approach to the description and analysis of hybrid systems.- Integration Graphs: A class of decidable hybrid systems.- Hybrid automata: An algorithmic approach to the specification and verification of hybrid systems.- Hybrid Systems: the SIGNAL approach.- A dynamical simulation facility for hybrid systems.- Event identification and intelligent hybrid control.- Multiple agent hybrid control architecture.- Models for hybrid systems: Automata, topologies, controllability, observability.- Some remarks about flows in hybrid systems.- Hybrid system modeling and autonomous control systems.- Fault accommodation in feedback control systems.- On formal support for industrial-scale requirements analysis.- A formal approach to computer systems requirements documentation.