Registered and Presented papers will be submitted for inclusion into IEEE Xplore as well as other Abstracting and Indexing (A&I) databases.

Proceedings of Past Editions: Proceedings of all past editions of CoDIT are published through IEEE Xplore and indexed in:
DBLP, Conference Proceedings Citation Index | Thomson Reuters, SCOPUS, Ei Compendex and IEEE.

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Session Co-Chairs :
Dr. Olena Kuzmych, Lesya Ukrainka Eastern European National University – Ukraine
Prof. Oksana Mekush, Lesya Ukrainka Eastern European National University – Ukraine
Prof. Kateryna Solych, Lesya Ukrainka Eastern European National University – Ukraine

Session description: This special session deals with the problem of using various approaches of Lyapunov function based methods that play a key role in both stability analysis and control synthesis for nonlinear dynamical systems. We’ll discuss actual and important problems to develop optimal control strategies of technical systems with aid of model-based modern technologies and Lyapunov functions tools. We uncover recent developments in methodologies, techniques, and applications in the area of nonlinear control design and stability for complex systems. We’ll focus an attention on evolution of Lyapunov stability theory and its applications that have received a great deal of attention recently, to exhibit recent investigations in stability analysis and control design. The goal of the session is to provide a platform for academical and industrial communities to exchange their latest results and to identify main issues and challenges for future investigation on Lyapunov functions theory for dynamical systems. The purpose is to exhibit the concepts, theoretical tools, methods based on Lyapunov functions that can be applied for stability analisys and developing an effective control for technical applications. This includes well-known and newest model-based technics for state-space models of nonlinear systems and their practice applications in science and engineering.
The topics of interest include, but are not limited to:
• Modeling and stability of dynamical systems based on Lyapunov functions
• Lyapunov functions in model-based control theory: recent trends, perspectives and open questions
• Evolution of Lyapunov stability theory and its application in control engineering, automotive, aerospace, high-tech, robotic applications, chemical processes, biological systems, renewable energy systems.
• Control for nonlinear dynamical systems: advances of LPV-based and Polytopic System methods, Sliding Mode control, Linear Matrix Inequality (LMI) approache, Takagi–Sugeno (T-S), Fuzzy-Model-Based methodologies, a Sum of Squares (SOS) and Control Lyapunov Function (CLF) approaches, others.