DEVS Representation of Iteratively Specified Systems

[1]  Laurent Ciarletta,et al.  Co-simulation of cyber-physical systems using a DEVS wrapping strategy in the MECSYCO middleware , 2018, Simul..

[2]  Michael Wetter,et al.  Co-simulation of innovative integrated HVAC systems in buildings , 2009 .

[3]  Bernard P. Zeigler,et al.  Quantization-based filtering in distributed discrete event simulation , 2002, J. Parallel Distributed Comput..

[4]  Bernard P. Zeigler,et al.  Space-Based Communication Data Management in Scalable Distributed Simulation , 2002, J. Parallel Distributed Comput..

[5]  Robert M. Howe,et al.  Interfacing fast and slow subsystems in the real-time simulation of dynamic systems , 1997 .

[6]  Mostafa A. Bassiouni,et al.  Performance and reliability analysis of relevance filtering for scalable distributed interactive simulation , 1997, TOMC.

[7]  Bernard P. Zeigler,et al.  Orders-of-magnitude speedup with DEVS representation and high-performance simulation , 1997, Defense, Security, and Sensing.

[8]  Bernard P. Zeigler,et al.  DEVS representation and aggregation of spatially distributed systems: speed-versus-error tradeoffs , 1996 .

[9]  B. P. Zeigler,et al.  DEVS approximation of infiltration using genetic algorithm optimization of a fuzzy system , 1996 .

[10]  Kuo-Chi Lin,et al.  The Performance Assessment of the Dead Reckoning Algorithms in DIS , 1994, Simul..

[11]  Bernard P. Zeigler,et al.  On the Expressibility of Discrete Event Specified Systems , 1994, CAST.

[12]  Suresh Goel,et al.  Dead reckoning for aircraft in distributed interactive simulation , 1992 .

[13]  R. M. Howe,et al.  The use of mixed integration algorithms in state space , 1990 .

[14]  Bernard P. Zeigler,et al.  DEVS representation of dynamical systems: event-based intelligent control , 1989, Proc. IEEE.

[15]  R. M. Howe,et al.  Dynamic accuracy of the state transition method in simulating linear systems , 1988 .