Fernando J. Barros
Abstract
This article presents the Heterogeneous Flow System Specification (HFSS), a formalism aimed to represent hierarchical and modular hybrid flow systems with dynamic structure. The concept of hybrid flow systems provides a generalization of the conventional concept of hybrid system and it can represent a whole plethora of systems, namely: discrete event systems, multicomponent and multirate numerical methods, multirate and multicomponent sampling systems, event locators and time-varying systems. The ability to join all these types of models makes HFSS an excellent framework for merging components built in different paradigms. We present several examples of model definition in the HFSS formalism and we also exploit the ability of the HFSS formalism to represent mutirate numerical integrators.
- Alur, R., Grosu, R. Lee, I., and Sokolsky, O. 2001. Compositional refinement for hierarchical hybrid systems. In Hybrid Systems: Computation and Control. Proceedings of the 4th International Conference (HSCC'01). Lecture Notes in Computer Science, vol. 2034. Springer-Verlag, New York, 33-48.]] Google Scholar
Digital Library
- Antsaklis, P. J. 2000. A brief introduction to the theory and application of hybrid systems. Proc. IEEE 88, 7, 879--887.]]Google ScholarCross Ref
- Barros, F. J. 1997. Modeling formalisms for dynamic structure systems. ACM Trans. Model. Comput. Simulat. 7, 4, 501--515.]] Google ScholarDigital Library
- Barros, F. J. 1998. Hierarchical testing of dynamic structure models: A practical approach. Trans. SCS 15, 4, 181--189.]] Google ScholarDigital Library
- Barros, F. J. 2000. A Framework for representing numerical multirate integration methods. In Proceedings of the 2000 AI, Simulation and Planning in High Autonomy Systems (Tucson, Az.). SCS International, 149--154.]]Google Scholar
- Barros, F. J. 2001. Modeling and simulation of mobile software agents in chaos. In Proceedings of the European Simulation Symposium/DEVS Workshop (Marseille, France). SCS International, 605--610.]]Google Scholar
- Barros, F. J. 2002a. Modeling and simulation of dynamic structure heterogeneous flow systems. Simulat. Trans. SCS 78, 1, 18--27.]]Google ScholarCross Ref
- Barros, F. J. 2002b. Towards a theory of continuous flow models. Int. J. Gen. Syst. 31, 1, 29--39.]]Google ScholarCross Ref
- Barros, F. J. 2002c. Abstract simulators for dynamic structure hybrid components. In Proceedings of the AI, Simulation and Planning in High Autonomy Systems. SCS International, 71--77.]]Google Scholar
- Barros, F. J. 2003. Modeling and simulation of switched systems: A dynamic structure approach. In Proceedings of the 2003 Summer Computer Simulation Conference (Montreal, Ont., Canada). SCS International, Simulation Series, 35, 3, 426--431.]]Google Scholar
- Branicky, M. S. and Mattson, S. E. 1997. Simulation of hybrid systems. In Hybrid Systems IV, P. J. Antsaklis, W. Korn, A. Nerode, and S. Sastry, Eds. Lecture Notes in Computer Science, vol. 1273. Springer-Verlag, New York, 31--56.]] Google ScholarDigital Library
- Deshpande, A., Gollu, A., and Semenzato, L. 1997. The shift programming language and run-time system for dynamic networks of hybrid automata. In Proceedings of the 1997 NATO Workshop on Discrete Event and Hybrid Systems. Lecture Notes in Computer Science. Springer-Verlag, New York.]] Google ScholarDigital Library
- Engstler, C. and Lubich, C. 1997. Multirate extrapolation methods for differential equations with different time scales. Computing 58, 173--185.]] Google ScholarDigital Library
- Howe, R. M. 1998. Real-time multi-rate asynchronous simulation with single and multiple processors. In Proceedings of SPIE 12th Annual International Symposium on Aerospace/Defense Sensing, Simulation and Controls: Enabling Technology for Simulation Science, vol. 3369 (Orlando, Fla.). SPIE, 331--342.]]Google Scholar
- Praehofer, H. 1991. System theoretic foundations for combined discrete-continuous system simulation, Ph.D. Dissertation, Department of Systems Theory and Information Engineering, Univ. Linz.]]Google Scholar
- Zeigler, B. P. 1976. Theory of Modelling and Simulation, Wiley, New York.]] Google ScholarDigital Library
- Zeigler, B. P. 1984. Multifacetted Modeling and Discrete Event Simulation. Academic Press, Orlando, Fla.]] Google ScholarDigital Library
- Zeigler, B. P. and Lee, J. S. 1998. Theory of quantized systems: Formal basis for DEVS/HLA distributed simulation environment. In Proceedings of SPIE 12th Annual International Symposium on Aerospace/Defense Sensing, Simulation and Controls: Enabling Technology for Simulation Science, vol. 3369 (Orlando, Fla.). SPIE, 49--58.]]Google Scholar
Index Terms
- Dynamic structure multiparadigm modeling and simulation
Recommendations
Modeling formalisms for dynamic structure systems
We present a new concept for a system network to represent systems that are able to undergo structural change. Change in structure is defined in general terms, and includes the addition and deletion of systems and the modification of the relations among ...
Equation-based modelling and simulation of hybrid systems
EOOLT '17: Proceedings of the 8th International Workshop on Equation-Based Object-Oriented Modeling Languages and ToolsEquation-based 1 modelling of hybrid systems has to consider dynamical systems consisting of components with continuous and/or discrete behavior. The paper focuses on such systems under special consideration of systems with variable model structure. ...
Modeling of bandpass filter using defected ground structure and defected microstrip structure
In this present work a novel concept for designing of tunable bandpass filter has been introduced with the help of end coupled microstrip transmission line, defected ground structure (DGS) and defected microstrip structure (DMS). Utilizing this concept, ...
Comments