Riassunto
Hybrid systems are interacting networks of digital and continuous systems. - brid systems arise throughout business and industry in areas such as interactive distributed simulation, trac control, plant process control, military command and control, aircraft and robot design, and path planning. Three of the fun- mental problems that hybrid systems theory should address are: How to model physical and information systems as hybrid systems; how to verify that their - havior satis es program or performance specic ations; and how to extract from performancespeci cationsforanetworkofphysicalsystemsandtheirsimulation models digital control programs which will force the network to obey its perf- mance speci cation. This rapidly developing area is at the interface of control, engineeringandcomputer science. Methods under developmentareextensionsof thosefromdiverseareassuchasprogramveri cation,concurrentanddistributed processes, logic programming, logics of programs, discrete event simulation, c- culus of variations, optimization, di erential geometry, Lie algebras, automata theory, dynamical systems, etc. When the rst LNCS volume Hybrid Systems was published in 1993, the e ect was to focus the attention of researchers worldwide on developing theory andengineeringtoolsapplicabletohybridsystemsinwhichcontinuousprocesses interact with digital programs in real time. At the time of publication of this fth volume, there is general agreement that this is an important area in which mathematics, control engineering, and computer science can be fruitfully c- bined. There are now hybrid system sections in many engineering and computer scienceinternationalmeetings,hybridsystems researchgroupsin manyuniver- ties and industrial laboratories,and also other excellent series of hybrid systems conferences.
Contenuti
Control Synthesis of Hybrid Systems Based on Predicate Invariance.- Computing Approximating Automata for a Class of Linear Hybrid Systems.- On Hybrid Systems and the Modal µ-calculus.- The Extended Linear Complementarity Problem and the Modeling and Analysis of Hybrid Systems.- Controller Scheduling Using Neural Networks: Implementation and Experimental Results.- Rigorous Design of a Fault Diagnosis and Isolation Algorithm.- Scalable Data and Sensor Fusion via Multiple Agent Hybrid Systems.- Hybrid Control Systems Using Timed Petri Nets: Supervisory Control Design Based on Invariant Properties.- A Case Study in Tool-Aided Analysis of Discretely Controlled Continuous Systems: The Two Tanks Problem.- Hybrid Systems with Finite Bisimulations.- Extracting Stable Timed Automata from Switched Model Reference Systems.- Sliding Mode Model Semantics and Simulation for Hybrid Systems.- Time-Deterministic Hybrid Transition Systems.- Heuristic Optimization and Dynamical System Safety Verification.- A Hybrid Receding—Horizon Control Scheme for Nonlinear Discrete—Time Systems.- Approximating Automata and Discrete Control for Continuous Systems — Two Examples from Process Control.- Action Systems with Continuous Behaviour.- Towards Using Hybrid Automata for the Mission Planning of Unmanned Aerial Vehicles.- Optimal Controller Switching for Stochastic Systems.- Robust Control of Hybrid Systems: Performance Guided Strategies.- Analysis of Slope-Parametric Rectangular Automata.- Control of Interval Temporal Systems.- Phase-Space Nonlinear Control Toolbox: The Maglev Experience.
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