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Advances in Hybrid Dynamical Systems: Theory, Model, and Applications

Call for Papers

The study of dynamical systems has focused, for the most part, on the two distinct areas of continuous-time and discrete-event systems. Recently, interest has emerged in the dynamical behaviors of systems that combine these two classes, which are referred to as hybrid dynamical systems. Typical examples of hybrid dynamical systems have been observed in various applications such as mechanical systems, process control systems, automotive industry, power systems, aircraft and traffic control systems, and economics and societal systems. Modeling, analysis, and design of such systems raise severe methodological questions, because they necessitate the combination of continuous variable system descriptions like differential and difference equations with discrete-event models like automata or Petri nets. Consequently, hybrid systems methodology is based on the principles and results of the theories of continuous and discrete systems such as control theory, computer science, and mathematics. But, due to the greatly growing demands on modeling, analysis, and control for hybrid dynamical system, how to further extend and merge the contributions coming from different disciplines is posing a great challenge. The purpose of this special issue is to explore the latest advances on mathematical modeling, theoretical analysis, numerical simulation, experimental observation, and engineering application in hybrid dynamical systems. It offers a concentrative venue for researchers to make rapid exchange of ideas and original research findings in hybrid dynamical systems. We are particularly interested in new interdisciplinary approaches in system science and real-world application, or strong conceptual foundation in newly evolving topics.

We invite investigators to contribute original research articles as well as review articles on the following.

Potential topics include, but are not limited to:

  • Hybrid dynamical system modeling and identification
  • Experimental methods and computational methods in hybrid dynamical systems
  • Discrete-event driven system, hybrid automata, and Petri nets
  • Switched, piecewise affine and stochastic jump systems
  • Impulsive, time-delay, and networked systems
  • Fuzzy logic-based, neural network-based, and other intelligent methods
  • Robust control and filtering for hybrid dynamical systems
  • Optimization and design for hybrid dynamical systems
  • Applications in traffic, economy, society, biology, and engineering
Manuscript DueFriday, 26 December 2014
First Round of ReviewsFriday, 20 March 2015
Publication DateFriday, 15 May 2015

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