Nonlinear dynamics is a concern of high importance as the behavior of most real- world
systems and their motions are nonlinear and evolve in time and/or space. This is true for
various types of systems: engineered systems, natural systems, social life events and
phenomena. Nonlinear dynamic systems may display a series of behaviors: regular or
irregular, stable or unstable, periodic or multi-periodic, torus or chaotic behaviors, etc….
The modeling of nonlinear dynamic systems is an important issue. The related challenge lies
in finding mathematical, physical or logical representation describing the dynamical behavior
and thus providing insights in the functioning principles. This is generally achieved through
simulations and/or experiments.
Synchronization can be understood as the result of the adjustment of a given property of the
motion exhibited by coupled systems or subsystems (either equivalent or nonequivalent). This
adjustment is generally achieved under some suitable values of the control parameters e.g.
couplings or the external excitation. To date, various types of synchronization have been
identified: complete synchronization (CS) or identical synchronization (IS), phase
synchronization (PS), lag synchronization (LS), generalized synchronization (GS), and rhythm
synchronization (RS). The use of each of these types of synchronization depends upon a
specific field of interest. In traffic control for instance, the phase synchronization of different
lights aids to optimize through-output while in the field of mechanics or electro-mechanics,
the complete synchronization is exploited to make different sub-systems or coupled systems
performing identical tasks. To date, the relevant literature has also intensively addressed the
exploitation of chaotic synchronization in securing digital communications and in chaosbased
cryptography as well.
For further information download the full call for papers.
Submission of papers: Papers submitted must not have been published previously or under consideration for publication, though they may represent significant extensions of prior work. All papers will be reviewed in accordance with the journal policy. Papers must conform to the standard IEEE paper formatting guidelines and sent to Kyandoghere Kyamakya in pdf format. For queries about this special issue, feel free to contact the special issue guest editors.
Important Dates
This book is calling for contributions covering amongst others the development of methods (algorithms/tools) for the
modeling, analysis and design approaches to explain, predict, and respectively control synchronization phenomena
and coherent behavior in real nonlinear dynamical systems. These may be engineering systems, social or
economical systems, or even biological systems. Examples of engineering systems are: robots, devices for power
electronics, vehicles dynamics and their control, supply chain networks, electrical circuits, and electromechanical
systems, just to name a few. But the scope is not limited only to these systems. Further, as an emerging field, the
study of synchronization and its control in such classes of dynamical systems has so far not seen sufficiently strong
connections between theory and the actual behavior of real systems. Therefore, there is a strong need for a
consistent presentation of the related state-of-the-art and of major active research avenues over the broad area of
nonlinear dynamics and synchronization.
For further information download the full call for book chapters.
Submission of book chapters: Please submit book chapter proposals to Kyandoghere Kyamakya in pdf format. For queries about book chapter issues, feel free to contact Kyandoghere Kyamakya.
Important Dates
A fundamental issue in systems analysis and modeling is about the identification of the system’s dynamics
including the external interactions that affect the system’s behavior. Such identification aims at specifying the
set of functions (rules or equations) that captures the factors that control the change of the system’s behavior.
Often, when dealing with complex nonlinear dynamical systems, the identification is obtained in many cases
only by means of approximations. Hence, the relevance of Computational Intelligence (CI) techniques in the
context of such systems becomes manifest. The application of such computing models is prompted by the
optimization requirements that are raised amongst others by the identification process. In addition, over the
last years the appropriateness of CI in optimization tasks pertaining to complex nonlinear dynamical systems
has become indubitable as attested by a large number of studies reporting on the successful application of CI
models especially in adaptive control applications, fault diagnostic, signal processing, chaos theory, medical
diagnostic, etc. However, due to the complexity dimensions of nonlinear dynamical systems, there still exits a
large spectrum of unsolved problems that go beyond the traditional intelligent control applications and where
CI techniques can play a central role. That is the main purpose behind the present special issue. In fact, the
aim of this special issue is to present the latest advances of the application of CI techniques not only in
control applications but in various systems where nonlinear dynamics and/or synchronization are key issues
of concern. The special issue is intended for a wide audience including mathematicians, physicists, chemists,
engineers, computer scientists, biologists, economists and social scientists.
For further information download the full call for papers.
Submission of papers: Papers submitted must not have been published previously or under consideration for publication, though they may represent significant extensions of prior work. All papers will be reviewed in accordance with the journal policy. Papers must conform to the formatting guidelines as provided by Atlantis Press and sent to Abdelhamid Bouchachia in pdf format. For queries about this special issue, feel free to contact the special issue guest editors.
Important Dates
Over the last years the appropriateness of computational intelligence (CI) techniques in modeling and optimization
tasks pertaining to complex nonlinear dynamic systems has become indubitable as attested by a large number of studies
reporting on the successful application of CI models in nonlinear science, e.g., adaptive control, signal processing,
medical diagnostic, pattern formation, living systems, etc. This volume is devoted to summarize the state-of-the-art
of CI in the context of nonlinear dynamic systems and synchronization. Aiming at fostering new breakthroughs,
chapters may focus on theoretical, experimental, and computational aspects of the recent advances in nonlinear
science intertwined with computational intelligence techniques. Moreover, chapters are expected to have a
tutorial-oriented structure and should be self contained targeting large audience.
For further information download the full call for book chapters.
Submission of book chapters: Please submit book chapter proposals to Abdelhamid Bouchachia in pdf format. For queries about book chapter issues, feel free to contact Abdelhamid Bouchachia.
Important Dates