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This book documents the scientific outcome of the Third International Workshop on Hybrid Systems, held in Ithaca, NY, USA, in October 1994. It presents a selection of carefully reviewed and revised full papers chosen from the workshop contribution and is the successor to LNCS 736, the seminal "Hybrid Systems" volume edited by Grossman, Nerode, Ravn, and Rischel.
Hybrid systems are models for networks of digital and continuous devices, in which digital control programs sense and supervise continuous and discrete plants governed by differential or difference equations. The investigation of hybrid systems is creating a new and fascinating discipline bridging mathematics, computer science, and control engineering.
List of contents
Symbolic controller synthesis for discrete and timed systems.- A Calculus of Stochastic Systems for the specification, simulation, and hidden state estimation of hybrid stochastic/non-stochastic systems.- Condensation of information from signals for process modeling and control.- On the automatic verification of systems with continuous variables and unbounded discrete data structures.- On dynamically consistent hybrid systems.- A self-learning neuro-fuzzy system.- Viable control of hybrid systems.- Modeling and stability issues in hybrid systems.- Hierarchical hybrid control: a case study.- Hybrid systems and quantum automata: Preliminary announcement.- Planar hybrid systems.- Programming in hybrid constraint languages.- A note on abstract interpretation strategies for hybrid automata.- HyTech: The Cornell Hybrid Technology Tool.- Hybrid systems as Finsler manifolds: Finite state control as approximation to connections.- Constructing hybrid control systems from robust linear control agents.- Controllers as fixed points of set-valued operators.- Verification of hybrid systems using abstractions.- Control of continuous plants by symbolic output feedback.- Hybrid control of a robot - a case study.- Verifying time-bounded properties for ELECTRE reactive programs with stopwatch automata.- Inductive modeling: A framework marrying systems theory and non-monotonic reasoning.- Semantics and verification of hierarchical CRP programs.- Interface and controller design for hybrid control systems.- Hybrid objects.- Modelling of hybrid systems based on extended coloured Petri nets.- DEVS framework for modelling, simulation, analysis, and design of hybrid systems.- Synthesis of hybrid constraint-based controllers.
