This Conference will provide a place to exchange recent developments, discoveries and progresses on Nonlinear Dynamics and Complexity. The aims of the conference are to present the fundamental and frontier theories and techniques for modern science and technology; to stimulate more research interest for exploration of nonlinear science and complexity and; to directly pass the new knowledge to the young generation, engineers and technologists in the corresponding fields.

The symposium will focus on the recent developments, findings and progresses on fundamental theories and principles, analytical and symbolic approaches, computational techniques in nonlinear physical science and nonlinear mathematics. Topics of interest in Nonlinear Dynamics and Complexity include but not limited to

  • Nonlinear classical and fractional differential equations and applications
  • Nonlinear dynamics and engineering nonlinearity
  • Discontinuous dynamical systems and control
  • Synchronization and chaos control
  • Neurodynamics and brain dynamics
  • Social dynamics and complexity
  • Switching systems with impulses
  • Data-driven dynamical systems
  • Mathematical Methods in Artificial Intelligence



Complexity theory along with complexity create a bridge crossing over the quantitative and qualitative facets of life, which enables the comprehensive contemplation of diverse systems from as cells to human beings, ecosystems to organizations, which are possible to be comprehended merely partially by traditional scientific methods. Complexity reflects the disentangling of complex, dynamic, complicated, nonlinear, adaptive, emergent systems, amongst many more. Besides these, complexity provides facilitation in seeing the problems through multiple perspectives, by looking into the micro and macro issues and comprehending the way they are interdependent. Complexity science, on the other hand, merges the two solitudes of both micro (analysis of the parts) and macro analyses (holistic analysis), ranging across human genome to evolutionary biology across the spectrum natural and human systems. When patterns in complex systems are in question, systems with multicomponents display a spontaneous form of organization into macroscopic structures with simple rules leading to unpredictable behaviors. In that regard, complexity science seeks to discover the underlying principles, theoretical aspects of emergence with an orientation to use them through applications so that biological, physical and social worlds can be understood at the pedestal of emergence of chaos and order as the hallmarks of natural systems as well as designed systems. The theories of complex systems besides these points provide the ideas suggestive of the way intractable the world is considering that even the simplest of phenomena involve enormous and even incalculable complexity. Consequently, it has been observed that many applications of science have turned into multimethod case studies based on evolving knowledge over time. 

The mathematics of data, by encompassing a multifaceted blend of mathematical techniques and models, is pivotal for tackling voluminous datasets and extracting significant insights from them. Computation of the complexity of a particular mathematical model requires the carrying out of the analyses over the run time, which is concerned with and based on the type of data (big data) identified, determined and employed along with the methods.  While providing the tools required to navigate through the complexities of data, Artificial Intelligence (AI) as well as data analysis rely on foundational mathematical concepts, which can pave the way for novice perspectives, solutions to challenges and directions for the future elements to arise.  Such an interplay emerging on dynamic scales can highlight mutually enriching association between mathematics and data in the ever-evolving digitizing landscape and ecology science, computer science, informatics, medicine, biology, applied sciences, engineering, bioengineering, and so forth, towards the integration, analysis, processing of models and data-centric prediction-based domains to name some.  

To these ends, the aim of our symposium is to unify and put into practice the diverse and evolving approaches to complexity theory, mathematical sciences and applied complexity science for providing a key into understanding the current and conceivable complex problems so that mathematical frameworks can serve as the plinth to understand the role of AI and future science of complexity. 

The potential topics include but are not limited to: 

  • Fractional calculus and complexity
  • Quantum algorithms and complexity
  • Probabilistic scientific computing
  • Partial differential equations (PDEs) and / or learning / inference problems
  • Differential equations (PDEs, ODEs, functional differential equations, etc.) and applied complexity
  • Big data assimilation and processing 
  • Artificial intelligence applications 
  • Theoretical aspects and applications of computational (algorithmic) complexity 
  • Multiscale deep generative neural networks 
  • Mathematical biology and bioengineering 
  • Uncertainty quantification 
  • High dimensional Bayesian inference problems
  • Applied mathematical methodologies for modeling and analyzing data 
  • Probability and statistics, signal/image processing, information theory and optimization
  • Complexity analysis 
  • Advanced mathematical models 
  • Computational / analytical / simulation-based methods

Among the many other related points with mathematical, numerical and computational modeling aspects.


Yeliz Karaca
University of Massachusetts Chan Medical School, MA, USA

Dumitru Baleanu
Çankaya University, Ankara, Turkey, and Institute of Space Science, Romania

Albert Luo
Southern Illinois University, Edwardsville, IL, USA


Nonlinear dynamic models are characterized by intricate attributes like high dimensionality and heterogeneity, having fractional-order derivatives, and constituting fractional calculus, which brings forth a thorough comprehension and control of the related dynamics and structure. Fractional models have become relevant to dealing with phenomena with memory effects in contrast with traditional models of ordinary and partial differential equations. Compared with integer-order calculus, which constitutes the mathematical basis of most control systems, fractional calculus can provide better equipment to handle the observed time-dependent impacts and generalized memory. Analysis and control of fractional order nonlinear systems are also important, along with the observation of unknown inputs and concepts being used and derived analytically. Multiple nonlinear systems demonstrate phenomena in which fluctuations enhance synchronization and periodic behaviors of the system. Chaos synchronization in systems has the states of complete synchronization and generalized or internal synchronization.

Fractional calculus, through the investigation of fractional-order integral and derivative operators with real or complex domains have merged with the advances in the high-speed and applicable computing technologies; and hence, computational processing analyses, as a method of reasoning and the main pillar of the majority of current research, can be of aid to tackling nonlinear dynamic problems through novel strategies based on observations and complex data. To be able to provide feasible and applicable solutions within the dynamic processes of the nonlinear systems, methods related to analytical, numerical, simulation-related, and computational analyses can be employed by considering the control-theoretic aspects to that associated. Thus, this stance enables to provide a bridge between mathematics and computer science besides other wide range of sciences so that transition from integer to fractional order methods can be ensured. Fractional derivatives and fractional differential equations are used extensively in modeling diverse, dynamic processes in the physical and natural world, which provides aid for the description of dynamic and nonlinear behaviors of nature. All these aspects are important for the optimal prediction solutions, critical decision-making processes, optimization, quantification, multiplicity, controllability, observability, synchronization and stabilization of fractional, neural and computational systems amongst many others.

This sophisticated approach, with the theoretical and applied dimensions of nonlinear dynamic systems merging fractional mathematics and computing technologies to be presented to demonstrate the significance of novel approaches in the related realms have become more prominent in nonlinear dynamic systems, facilitating to achieve viable solutions, optimization processes, numerical simulations besides technical analyses and related applications in areas like mathematics, medicine, neuroscience, engineering, physics, biology, virology, chemistry, genetics, information science, information and communication technologies, informatics, space sciences, applied sciences, finance, and social sciences, to name some. Accordingly, we hope that our symposium will be a platform to pave the way for novel research, fruitful discussions and thought-provoking experiences.

The potential topics of our symposium include but are not limited to:
– Computational methods for dynamical systems of fractional order
– Fractional calculus of variations and optimal control with time-scale
– Data-driven forecasting of high-dimensional chaotic systems
– Data-driven fractional biological modeling
– Data mining with fractional calculus methods
– Synchronization of dynamic systems on time scales
– Fractional hypergeometric functions
– Fractional order observer design for nonlinear systems
– Adaptive tracking control for multiple unknown fractional-order systems
– Nonlinear control for biological diseases
– Fractional dynamic processes in medicine
– Fractional calculus with artificial intelligence applications
– Medical image/signal analyses based on soft computing
– Stabilization of nonlinear and fuzzy systems
– Nonlinear periodicity and synchronization
– Quantization optimization algorithms
– Computational medicine and fractional calculus in nonlinear systems
– Control and dynamics of multi-agent network systems
– Nonlinear integral equations within fractional calculus in nonlinear science
– Signal processing and design for scalar conservation laws
– Deterministic and stochastic fractional differential equations
– Stochastic dynamics of nonlinear dynamic systems
– Fractional calculus with uncertainties and modeling
– Fractional-calculus-based control scheme for dynamical systems with uncertainty
– Computational intelligence-based methodologies and techniques
– Neural computations with fractional calculus
– Fractional calculus with higher dimensionality
– Special functions in fractional calculus context
– Stochastic approaches for synchronization of oscillators
– Cyber-human system modeling and control with fractional-order dynamics

Dumitru Baleanu
Çankaya University, Ankara, Turkey, and Institute of Space Science, Romania


Yeliz Karaca
University of Massachusetts Medical School, MA, USA


Yu-Dong Zhang
University of Leicester, Leicester, UK


Akif Akgül
Hitit University, Çorum, Türkiye



The symposium will focus upon the following topics:

  • New developments in the soliton theory;
  • Solitary waves and soliton-like structures in non-integrable equations;
  • Multisoliton formations, rogue waves, and collapses;
  • Experimental results on solitary waves and their observations in the nature (oceans, atmosphere, solar plasma, space).

The main thrust of the symposium is to discuss the soliton-like structures occurring in various physical contexts and to break down the artificial walls separating researchers working in different fields. Theoretical, numerical, and experimental works are welcomed.

Yury Stepanyants
University of Southern Queensland, Toowoomba, Australia

Victor Shrira
University of Keele, UK

Lev Ostrovsky
University of Colorado, Boulder, USA


Methods of modern geometry have demonstrated their usefulness in many applications. This special session focuses on application of geometric methods to the problem of physics, mechanics and control. In particular, the lectures in this session will touch upon the following topics:

  • Geometric methods applied to physical systems, quantum mechanics, plasma, continuum mechanics and others;
  • Geometric approach for systems with noise;
  • Structure-preserving numerical algorithms based on geometric ideas;
  • Machine learning methods for geometric mechanics

Vakhtang Putkaradze
Mathematical and Statistical Sciences
University of Alberta, Canada



Many phenomena of the real world that come from different fields such as biology, medicine, finance, economics, computer science, physics, and engineering, can be modelled by nonlinear differential equations. However, it is an arduous task to obtain exact solutions of such nonlinear differential equations.

Lie group analysis approach, originally developed by Sophus Lie (1842-1899), is a powerful and effective approach for solving nonlinear differential equations. Over the past few decades, a large number of publications in theoretical and applied mathematics have been devoted to the Lie group analysis methods and their applications.

The aim of this symposium is to focus the attention of researchers on Lie group methods to search for exact solutions of nonlinear models in physics, engineering, finance, economics, biology as well as to present recent developments of the theoretical tools of the Lie group methods applicable to the study of differential equations.


Chaudry Masood Khalique
Material Science, Innovation and Modelling Research Focus Area,
Department of Mathematical Sciences, North-West University, Mafikeng Campus, Mmabatho, South Africa

Lijun Zhang
Department of Mathematics, Shandong University of Science and Technology, Qingdao, Shandong 266590, China

Maria Luz Gandarias
Department of Mathematics, University of Cadiz, Puerto Real, Spain,


This symposium focuses on diverse aspects of discontinuous dynamical systems and control. Its goal is to bring caliber experts together who will exchange scientific ideas that will contribute to the advancement on analytical, numerical, and experimental analysis and techniques of discontinuous dynamical systems and control. Manuscripts are solicited in topics including but not limited to:

  • Numerical and analytical methods for discontinuous dynamical systems
  • Discontinuous dynamics for dynamical systems with non-smooth controls
  • Complexity for multi-autonomous-agent systems with dynamic interactions
  • Singularity for complex systems with time-varying discontinuous boundaries 
  • Intelligent modeling methods for complex systems with discontinuity
  • Periodic motions and chaos for time-delayed discontinuous systems

Abstracts must be submitted online through the conference website before May 31st. Authors will have the option to submit full-length papers for publication consideration. The papers will be peer-reviewed, and upon acceptance, they will be published in the special issue of Journal of Vibration Testing and System Dynamics. A shortlist of papers will be invited to contribute to a chapter book on nonlinear vibrations and waves published by Springer. For further information, please contact:

Xilin Fu

Shandong Normal University, China

Jianzhe Huang                          
School of Aeronautics and Astronautics  
Shanghai Jiao Tong University Shanghai, China

Liping Li

Department of Mathematics
Huzhou University, Huzhou, China


Many systems which are investigated and used in science and engineering are systems with memory. In many cases, the memory is the asymptotically power-law memory. The use of fractional calculus is the best-known way to investigate these systems. As in regular dynamics, in fractional dynamics, maps are easier to investigate than the corresponding continuous systems. Many general properties of fractional systems were obtained by using fractional maps. The purpose of this symposium is to discuss existing results and coordinate the future development in the research and applications of discrete fractional systems.

Mark Edelman
Yeshiva University and Courant Institute, New York, USA, 

Minvydas Kazys Ragulskis
Kaunas University of Technology, Kaunas, Lithuania



We kindly invite researchers to submit their original research on nonlinear integer and fractional models and control in biological systems. We welcome theoretical models and real-world applications.

Topics include (but are not limited to):

  • Integral transform method;
  • dynamical models;
  • evolution equations;
  • non-integer derivatives;
  • Applications of Fourier Transforms to solutions of ODEs, PDEs and Integral Equations;
  • Applications of joint Fourier-Laplace transform;
  • Integral transforms in fractional equations: fractional ODE, integral equations,

Praveen Agarwal
Anand International College of Engineering, India



The symposium is to cover a broad scope of nonlinear dynamics in fluid and combustion, one of continuum systems or the systems with infinite dimension. The fundamental theory and application in mechanics and physics are welcome. All papers will be peer-reviewed, and upon acceptance, they will be published in the special issue of Journal of Environmental Accounting and Management. Manuscripts are solicited in the following topics but not limited to,

  • Model Reduction for Nonlinear Dynamic Systems with Infinite Dimension
  • Lagrangian Coherent Structures, Topological Methods and Networks in Fluid Dynamics and Combustion
  • Singularities (shock wave, instability, flow separation, vortex, flow pattern, cavitation, bubble, critical phenomena, soliton, turbulence, Thermoacoustic Oscillation etc.) in Fluid Dynamics and Combustion
  • Nonlinear Dynamics in Thin-walled Structures
  • Nonlinear Dynamics in Aeroelasticity and Fluid-structure Interaction
  • Bifurcation, Stability and Chaos in Continuum Systems Governed by Partial Differential Equations

Professor Jiazhong Zhang
School of Energy and Power Engineering
Xi’an Jiaotong University
Shaanxi Province 710049
P. R. of China

Associate Professor Xu Sun
College of Mechanical and Transportation Engineering
China University of Petroleum-Beijing, Beijing, 102249, China.


Mechatronic systems with nonlinearities are prevalent across various industries, rendering this symposium highly relevant to professionals, researchers, and students alike. The symposium will explore advanced testing methods, identification techniques, and practical applications for addressing nonlinearities in mechatronic systems, encompassing pivotal topics.

Attendees will have the invaluable opportunity to engage with leading researchers in the field of mechatronics, fostering exchange of knowledge in the discipline.

Comprehending the physical effects, modeling, and identification of dynamical mechatronic systems with nonlinearities, such as friction, time delays, backlash, saturation, contact and impact phenomena, nonlinear springs, dampers, or actuators, as well as nonlinear electrical components, is imperative for precise system analysis, testing, and design. This knowledge enables the accurate prediction of system behavior and the development of effective control strategies.

We cordially invite researchers to participate in this symposium to explore these critical aspects and contribute to the advancement of mechatronic systems understanding.

Paweł Olejnik 

Lodz University of Technology, Poland


We kindly invite researchers to submit their original research on nonlinear integer and fractional models and control in biological systems. We welcome theoretical models and real-world applications.

Topics include (but are not limited to):

  • Ordinary and Partial Differential Equations: Theory and Applications
  • Mathematical Modelling involving time fractional ODEs and PDEs
  • Integral Equations and Integral Transforms
  • Uncertainty Quantification in Mathematical Modelling
  • Control Theory, Optimization and their Applications
  • Probability, Statistics and Numerical Analysis
  • Computational Methods in Sciences and Engineering
  • Fractional Dynamic Systems and Applications
  • Fractional Signals and Systems
  • Singularities Analysis and Integrals
  • Artificial intelligence application in disease Modeling
  • Chaotic systems
  • Bifurcation

Professor Dumitru Baleanu
Cankaya University, Institute of Space Sciences, Bucharest, Turkey

Professor Carla M.A. Pinto 
School of Engineering, Polytechnic of Porto, Portugal

Professor Amin Jajarmi 
Department of Electrical Engineering, University of Bojnord, Iran

Mati ur Rahman
Jiangsu University


Nonlinearities are ubiquitous in engineering systems and essential to design, analysis, and control applications, as they significantly alter the main dynamical response.

Historically, nonlinear dynamics have been avoided and disregarded in engineering applications for associating with unpredictable and unfavorable behaviors. Recent advances in understanding and capturing effects such as multistability, intermodal coupling, internal resonances and synchronization, just to name a few, have revealed the advantages and great potential of nonlinearities in a variety of applications.

Nonlinear dynamical behaviours have opened exciting opportunities in the field of vibration control, energy transfer, metamaterials, micro and nano-electromechanical systems, and bio-inspired robotic locomotion.

The Symposium “Nonlinear Dynamics of Engineering Systems” is devoted to the most recent developments towards understanding and exploiting the benefits of nonlinearity in current and future engineering applications.


  • Nonlinear Resonances, Phenomena, and Interactions 
  • Bifurcations and Chaos
  • Dynamic Systems with Time-Variability, Delay, or Discontinuities 
  • Reduced-Order Modelling  
  • Mechanical and Structural Dynamics 
  • Flexible slender structures
  • Nonlinear Energy Transfers and Harvesting
  • Vibration and Stability of Systems
  • Optimization and Control
  • Analytical and Numerical Techniques
  • Experimental Studies of Nonlinear Phenomena
  • Nonlinear Dynamics in Bio-inspired robotic locomotion

Siyuan Xing
California Polytechnic State University, USA


Pierpaolo Belardinelli
Polytechnic University of Marche, Italy


Dynamical systems are characterized as systems undergoing evolution and are
typically elucidated by either differential equations or maps. In recent years, the field of dynamical systems has experienced significant development, giving rise to novel research areas and posing additional questions yet to be addressed.
This symposium provides a platform for researchers to discuss and exchange ideas in theory and applications of nonlinear dynamics. Manuscripts are solicited in the following topics but not limited to:

  • Bifurcation theory.
  • Chaos indicators in multidimensional spaces.
  • Classical deterministic chaos.
  • Computational approaches to nonlinear dynamics.
  • Continuous and discrete chaotic systems.
  • Dynamical systems with hidden attractors.
  • Dynamics of conservative systems.
  • Hamiltonian and quantum chaos.
  • Fractals, order and time-series analysis.
  • Fractional-order system dynamics.
  • Mathematical and Numerical Methods.
  • Multibody dynamics.
  • Multistability.
  • Nonlinear system identification.
  • Systems with time and/or space delays.
  • Turbulence.
  • Chaos-based cryptography and secure communications.
  • Dynamics of structures/industrial machines/equipment/facilities.
  • Neural network dynamics.
  • Neurodynamics and brain dynamics.
  • Nonlinear circuits.
  • Nonlinear dynamics in engineering systems.
  • Nonlinear dynamics in robotic systems.
  • Nonlinear dynamics in semiconductor lasers
  • Nonlinear phenomena in mechanical and structural systems.
  • Nonlinear systems for IoT applications.
  • Synchronization and control schemes of nonlinear systems.

All papers will be peer-reviewed, and upon acceptance, they will be published in the Journal of Vibration Testing and System Dynamics and the Journal of Discontinuity, Nonlinearity, and Complexity.


Dr. Maaita Jamal- Odysseas
Physics department
International Hellenic University, Greece

Assistant Professor Makrina Agaoglou
Department of Applied Mathematics
Polytechnic University of Madrid, Spain

Dr. Dimitrios Prousalis
Chair of Fundamentals of Electrical Engineering
TU Dresden, Germany


The failure of engineering structures mainly includes structural vibration, and the nonlinear vibration of engineering structures is extremely complex, mainly manifested as complex external excitation loads, multi-body systems, and multi field coupling effects. Therefore, the analysis and diagnosis of nonlinear behavior in engineering problems are extremely important. This symposium mainly includes modeling methods for engineering structures, dynamic response analysis methods, nonlinear behavior analysis methods, diagnostic methods for nonlinear behavior, and vibration control methods, which will focus upon the following topics:

  • Dynamic modeling methods for engineering structures in aerospace, oil and gas energy, rail transit, civil engineering, nuclear energy, water power and other fields, especially under the influence of complex external excitations, multi-body structures, and multi field coupling factors, etc;
  • Nonlinear solution method for vibration problems in engineering structures;
  • Nonlinear behavior analysis methods for engineering structural vibration problems, including: analysis of phase trajectory diagrams, Poincare analysis, parameter bifurcation analysis, and identification of chaos, etc;
  • Control methods for vibration problems in engineering structures, including identification methods for the significant impact of parameters on structural vibration, quantitative description methods for the effectiveness of structural vibration control, etc.

The main thrust of the symposium is to discuss the nonlinear behavior analyses and diagnoses of engineering problem, and to break down the artificial walls separating researchers working in different fields. Theoretical, numerical, and experimental works are welcomed.

Liming Dai (ASME Fellow, Professor)
Industrial Systems Engineering, University of Regina, Regina, SASK. Canada

Libin Zhao (President, Professor)
School of Mechanical Engineering, Hebei University of Technology, Tianjin, China

Xinye Li (Professor)
School of Mechanical Engineering, Hebei University of Technology, Tianjin, China

Xiaoqiang Guo (Associate professor)
School of Mechanical Engineering, Hebei University of Technology, Tianjin, China


Aerodynamics in-orbit and re-entry from outer space to ground atmosphere is a key, difficult and multidisciplinary topic. Especially, how to solve the aerothermodynamics and structural response around aircraft, is the key to resolve the problems of the uncontrolled large-scale spacecraft re-entry crash.

The symposium is to cover a broad scope of nonlinear mechanics of complex systems. The fundamental theory and application in mechanics and physics are welcome. All papers will be peer-reviewed, and upon acceptance, they will be published.

This Focus of Mini-Symposia presents a collection of contributions addressing the description of aerodynamics and thermal response structural mechanics, in which the friendly and influential academic exchange platform is established to communicate and share the recent advances, enhance the mutual understanding of researchers in different fields, and promote the international cooperation and development. Manuscripts are solicited in the following themes but not limited to:

  • Mathematical modelling, algorithm implementation and numerical computation of aerodynamics;
  • Flight controlling and orbit dynamics of the spacecraft;
  • High-performance parallel computing and theoretical analysis on re-entry aerothermodynamics;
  • Dynamical system approach to the mass transport and stability analysis of complex aerodynamics.
  • Pyrolysis and ablation of the composites;
  • Dynamic thermo-mechanical response of spacecraft structure under aerodynamic environment;
  • Flight track forecasting of disintegration during end-of-life spacecraft falling re-entry;
  • Experiments including aerodynamic identification and risk assessment of wind tunnel test and flight test, and new phenomenon etc.


Chair: Professor Zhi-Hui Li
National Lab. for Computational Fluid Dynamics, BUAA
China Aerodynamics Research and Development Center, Beijing, China

Co-Chair: Professor Li-Qun Chen
College of Mechanics and Engineering Sciences
Shanghai University, Shanghai, China.


The coupling of complex networks with data science and machine learning is a vibrant field of interdisciplinary research in nonlinear dynamics. Progress made in the past decades has not only deepened our understanding of complex behaviors in natural and man-made systems but also thrusted forward the development of new technologies and methods. Nonlinear dynamics provides a set of tools viable for analyzing and understanding the behavior of complex systems, especially those exhibiting chaos, bifurcations, and prominent nonlinear phenomena. Research in complex networks reveals the macroscopic behaviors generated by the complex interactions among many individuals, which is significant for understanding ecosystems, social networks, and economic systems, among many others. Machine learning, by learning patterns and rules from data, can reveal the complex dynamic relationships within systems, especially when the systems are too complex to be described with traditional mathematical models. The synergy of these fields has led to the emergence of many fascinating research areas.

The Symposium on “Nonlinear Dynamics and Network Science in Intelligent Systems” is devoted to showcasing the latest research findings and technological advancements, especially in the application of machine learning in nonlinear dynamics, complex networks, and intelligent systems.

The symposium covers a wide range of topics, including but not limited to:

  • Modeling, analysis, and simulation of nonlinear dynamical systems
  • Structural and dynamic characteristics analysis of complex networks
  • Innovative applications of machine learning in social, biological, medical, economic, and technical networks
  • Solving network science problems with advanced technologies such as deep learning and graph neural networks
  • Applications of machine learning in system identification, prediction, and control
  • Data-driven modeling and analysis of multiscale and multiphysics dynamical systems
  • Complexity management and optimization strategies in intelligent systems
  • Interdisciplinary case studies and applications, demonstrating the actual impact of nonlinear dynamics and network science


Bin Wu
Mechanical Engineering Department, Texas A&M University, USA

Mengbang Zou
Center for Cyberphysical Systems, Cranfield University, UK