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  • Cited by 8
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    This chapter has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Roy, Debayan Zhang, Licong Chang, Wanli Mitter, Sanjoy K. and Chakraborty, Samarjit 2018. Semantics-Preserving Cosynthesis of Cyber-Physical Systems. Proceedings of the IEEE, Vol. 106, Issue. 1, p. 171.

    Baños, Alfonso Mulero, Juan I. Barreiro, Antonio and Davó, Miguel A. 2016. An impulsive dynamical systems framework for reset control systems. International Journal of Control, Vol. 89, Issue. 10, p. 1985.

    Bortolussi, Luca and Gast, Nicolas 2016. Mean Field Approximation of Uncertain Stochastic Models. p. 287.

    Mitsch, Stefan Platzer, André Retschitzegger, Werner and Schwinger, Wieland 2015. Logic-Based Modeling Approaches for Qualitative and Hybrid Reasoning in Dynamic Spatial Systems. ACM Computing Surveys, Vol. 48, Issue. 1, p. 1.

    Letia, Tiberiu S. and Kilyen, Ors 2014. Enhancing the time Petri nets for automatic hybrid control synthesis. p. 621.

    Mitsch, Stefan Passmore, Grant Olney and Platzer, André 2014. Collaborative Verification-Driven Engineering of Hybrid Systems. Mathematics in Computer Science, Vol. 8, Issue. 1, p. 71.

    Hassan HosseinNia, S. Tejado, Ines and Vinagre, Blas M. 2014. Hybrid systems and control with fractional dynamics (II): Control. p. 1.

    Hassan HosseinNia, S. Tejado, Ines and Vinagre, Blas M. 2014. Hybrid systems and control with fractional dynamics (I): Modeling and analysis. p. 1.

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  • Print publication year: 2009
  • Online publication date: February 2011

2 - Survey of modeling, analysis, and control of hybrid systems

from Part I - Theory
Summary

An overview of various modeling frameworks for hybrid systems is given followed by a comparison of the modeling power and the model complexity, which can serve as a guideline for choosing the right model for a given analysis or control problem with hybrid dynamics. Then, the main analysis and design tasks for hybrid systems are surveyed together with the methods for their solution, which will be discussed in more detail in subsequent chapters.

Models for hybrid systems

Overview

As models are the ultimate tools for obtaining and dealing with knowledge, not only in engineering, but also in philosophy, biology, sociology, and economics, a search has been undertaken for appropriate mathematical models for hybrid systems. This section gives an overview of the modeling formalisms that have been elaborated in hybrid systems theory in the past.

Structure of hybrid systems Many different models have been proposed in literature, as will be seen in following chapters. These models can be distinguished with respect to the phenomena that they are able to represent in an explicit form. Consequently, these models have different fields of applications. The main idea of these models is described by the block diagram shown in Fig. 2.1, which is often used in literature as a starting point of hybrid systems modeling and analysis, although not all models use this structure in a direct way.

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Handbook of Hybrid Systems Control
  • Online ISBN: 9780511807930
  • Book DOI: https://doi.org/10.1017/CBO9780511807930
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