Practical numerical algorithms for chaotic systems
Practical numerical algorithms for chaotic systems
The Design and Analysis of Computer Algorithms
The Design and Analysis of Computer Algorithms
Hybrid Systems II
Monitoring, prediction, and fault isolation in dynamic physical systems
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
Automatica (Journal of IFAC)
An ontology for transitions in physical dynamic systems
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
An Overview of Hybrid Simulation Phenomena and Their Support by Simulation Packages
HSCC '99 Proceedings of the Second International Workshop on Hybrid Systems: Computation and Control
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We describe model semantics and develop a simulation algorithm for characterizing a class of dynamic physical systems operating in the so-called sliding regimes. Complex continuous system behavior combines effects that occur at multiple temporal and spatial scales. Behavior generation is simplified by creating system models that employ time scale and parameter abstraction techniques. The resultant hybrid systems exhibit discrete and continuous behaviors, which manifest as piecewise continuous behaviors interspersed with discontinuous changes between the continuous operating modes. Mode transitions are induced by internal state changes and external control signals. Sometimes hybrid systems exhibit chattering behaviors at the discontinuous transition boundaries. This presents computational challenges to conventional numerical simulation methods. We develop an effcient, adaptive algorithm for simulating this class of systems, based on a careful analysis of the model semantics at the discontinuous boundaries. Simulation results show that the algorithm is more effcient and accurate for sliding mode systems than conventional integration methods.