For the ICFDA 2024, participants are able to organize (i) invited sessions and (ii) open invited tracks. In either case, the topics should fall within the scope of the FDA community and should be sufficiently specific (and not too broad). Contributions to these invited sessions and open invited tracks can be in any of the four paper formats: Regular papers, Survey papers or Discussion papers. 

Invited sessions must be formed with six papers and based on personal invitation by the organizers. Open invited tracks have no limit on the number of papers, and the organizers are responsible for attracting contributors; the proposal will be advertised on the website, and anyone interested can submit their contributions.

Open Invited Tracks

Open invited tracks have no upper limit on the number of papers but only tracks having gathered more than five papers will be included in the program as open invited track sessions. An open invited track proposal should be limited to 6 pages (in any template) and include:

• Title
• Abstract
• Choice of an IFAC technical committee for evaluation (via the choice of the first keyword)
• Detailed description of the topic
• Link to a web page to further describe the track (optional but recommended)

The ICFDA 2024 website will advertise the submitted open invited tracks. Organizers are asked to submit proposals as early as possible and no later than October 15th 2023. Up on submission of the proposal, the organizers will obtain an open invited track code. This code will also be displayed on the congress web site. Contributors are asked to enter this invited track code when submitting their papers.

As soon as an open invited track proposal is submitted, the IPC chairs will check the relevance of the submitted topic with respect to the scope of FDA and verify if the covered topics are not too broad or if the topics are already covered by previously submitted tracks. This pre-evaluation will be done prior to the announcement of the track on the congress website.

List of accepted Open Invited Tracks

Fractional order differentiation in modeling, System Identification and observation

Proposers: Stephane Victor, Rachid Malti 

Code session: 7h8ev

Fractional (or non-integer) differentiation has played a very important role in various fields notably in signal and image processing and control theory. In these last fields, important considerations such as modeling, system identification and observability are now linked to long-range dependence phenomena. It is expected that such an open invited track will attract new researchers regarding the growing research and developments on fractional calculus in the areas of mathematics, physics, engineering and particularly in automatic control. This invited session is devoted to research topics in the field of fractional calculus in order to present and to discuss the latest results in fractional dynamical systems and signals domain: - Signal analysis and filtering with fractional tools (restoration, reconstruction, analysis of fractal noises) - Fractional modeling especially of (but not limited to) thermal systems, electrical systems (motors, transformers, skin effect, etc.), dielectric materials, electrochemical systems (batteries, ultracapacitors, fuel cells, etc.), mechanical systems (vibration insulation, viscoelastic materials, etc.), biological systems (muscles, lungs, etc.) - Fractional system identification (linear, nonlinear, multivariable methods, etc.) - Implementation aspects (fractional controllers and filters implementation, etc.) - Systems analysis (stability, observability, controllability, etc.) - Fractal structures, porous materials, etc. - Applications (mechatronics, automotive, medical/biological systems,…)

see the proposal

Fractional Partial Differential Equations: Analysis, Computation, and Machine Learning 

Proposers: Shahzad Sarwar, Min Cai, Changpin Li

Code session: 3d764

With the rapid development of the study on fractional partial differential equation models, relating scientific research aspects have attracted intensive attention. The session is devoted to recent advances in analysis, computation, and machine learning of fractional partial differential equations.

see the proposal

Software for fractional Calculus 

Proposers: Rachid Malti, Stephane Victor, Patrick Lanusse 

Code session: 6567j

Fractional (or non-integer) calculus plays a major role in various theoretical and applied fields (Mathematics, Physics, Mechanics, Control engineering, Biology,
Electrochemistry, Signal Processing, ...). The last 30 years, have witnessed multiple software developments related to the use of fractional calculus in these various fields. Such software may appear as toolboxes, a collection of scripts, or even as User Guided Interfaces. They may use various platforms such as Matlab,
Maple, Mathematica, ...

The objective of this Open Invited Track is to offer the possibility to researchers to present their latest software developments related to the use of Fractional Calculus in various fields such as:
- Mathematics,
- Physics,
- Mechanics,
- Control engineering,
- Biology,
- Electrochemistry,
- Signal Processing...

see the proposal

Stability and Control of Fractional Order Systems

Proposers: Milan R. Rapaić, Guido Maione 

Code session: t5f8g

This open invited track is dedicated to the recent developments on stability and control of fractional order systems, as well as to the recent developments in design of fractional order controllers.

see the proposal

Application of fractional order differentiation to real systems and demonstrators

Proposers: Mathieu Chevrié 

Code session: 3c77t

Literature offers a growing number of applications of fractional calculus to modeling, analysis or control of dynamic systems. For instance, such modeling tools are used in various fields of research such as chemical physics, biology, heat science, hydrodynamic, etc. More specifically, tools based on fractional calculus allow to design fractional order controllers and/or to design control laws from fractional models. In this open invitational session, the emphasis is on demonstrations of real systems where fractional differentiation is used. There are no restrictions on the type of demonstrator. Thus, there is no limitation on the final objective of the use of fractional differentiation (e.g., system identification, control, diagnosis, prognosis...) nor on the field of application (e.g., electrical/chemical/mechanical/hydrodynamic/... or e.g., automotive/aircraft/naval/industrial systems). An area dedicated to demonstrators will be set aside during the conference. If you intend to bring your demonstrator device to the conference, please provide an additional document describing your technical specifications that will be examined by the organizer of this Open Invited Track. If the required specifications cannot be supplied, or if it is too tedious to bring your own demonstrator, screens will be available to show demonstration videos (recorded by you in advance).

see the proposal

Application of Fractional-Order Calculus of Complex Orders in Science and Engineering

Proposers: Reyad El-Khazali 

Code session: 4uxy4

Fractional-order Calculus have gained great momentum in the last two decades. It had been applied in many fields of science and engineering and proved its flexibility and broad features in system modelling, analysis and control. The proposed session will further broaden up the application of fractional-order calculus to include complex orders. This Open Track Session is entitled "Application of Fractional-Order Calculus of Complex Orders in Science and Engineering" at the upcoming ICFDA’24 conference. This is a unique opportunity to share your insights, present cutting-edge research, and engage in meaningful discussions within the dynamic field of fractional-order calculus of complex orders. This Open Track Session aims to bring together researchers, academics, and professionals interested in exploring the diverse applications of fractional-order calculus of complex orders and their applications in science and engineering.

see the proposal

Fractional calculus, special functions and applications

Proposers: Emanuel Guariglia 

Code session: 4a3u4

This open invited track is dedicated to the recent results on on fractional calculus of special functions with applications in mathematics, theoretical physics and information engineering.

see the proposal

Discussion on the application of fractional-order perspectives of biological systems

Proposers: Carla Pinto, Dumitru Baleanu 

Code session: k156b

Fractional calculus has emerged, during the last few decades, as a powerful and efficient mathematical tool to study several phenomena in science and engineering. Research in the fractional differentiation is inherently multidisciplinary and its applications are seen in diverse areas, namely: mechanics, signal analysis, biomedicine, bioengineering, social systems, management, financial systems, population growth, etc. Biological systems are complex networks of biologically relevant entities. In this sense, in this session, we will discuss the conditions/constraints/cautions to apply when approximating a fractional-order model to a complex biological network. Looking forward to your novel research on this topic.

see the proposal

Advanced Processes of Fractals-Fractional AI-Based Theories, Analyses and Applications

Proposers: Yeliz Karaca, Dumitru Baleanu 

Code session: edqqf

Fractal which is an intriguing form of an infinitely complicated shape in mathematics owns a pattern of its own with unique properties, repeating in continuum, while
providing a unified point of view on diverse trajectories of complexities in the natural world by paving frontiers with multi-layered tessellations. Thus, innumerable natural phenomena manifest peculiar structures on a broad array of scales that are interwoven by pertinent laws of degrees. Dynamical processes and systems of fractional order in relation to natural and artificial phenomena can be modeled by ODEs and PDEs with integer order, described fittingly by ODEs and PDEs. Within that perspective, fractal analysis provides expansion of knowledge regarding the functions and structures of complex dynamic systems while acting as a way to evaluate areas of thought-provoking research so that the roughness of objects, their nonlinearity, randomness, and other properties can be captured. The use of AI allows modelaccuracy maximization and function minimization, mathematical-informed frameworks enable reliable understanding of complex processes. This complexity requires a holistic understanding for capturing significant attributes in complex systems confounding to predict and control towards a global understanding.

see the proposal