The 3rd workshop of the STRIDE project was dedicated to emerging applications of control and systems theory and disruptive innovation in the sectors of Production, Mobility, Health, and Ocean Systems and Technologies, covering topics such as biology, social systems, and networked control systems. This workshop aimed to expose students, engineers, and scientists to the latest advancements in Intelligent Cyber-Physical Engineering, Mathematics, Computing, and Power Engineering.
The 2nd workshop of the STRIDE project focused on fundamental research into new paradigms in control, optimization, and estimation, which form the central core to be developed through systems engineering processes combined with computational sciences, particularly machine learning, applied to cyber-physical systems in the following areas: Systems, Control, Optimization, Estimation, and Data Science; Robotics, Networked Systems; Power Electronics for Energy and Mobility; Advanced Production Systems; Health, and natural resource management to ensure environmental sustainability. This workshop aimed to expose students, engineers, and scientists to the latest advancements in Intelligent Cyber-Physical Engineering, Mathematics, Computing, and Power Engineering.
This workshop, part of the STRIDE project, brought together a significant number of researchers with valuable contributions across the diverse fields addressed, as well as many postgraduate students and researchers in Mathematics and other areas where mathematical methods are essential for research. Members of the International Program Committee also participated as speakers at the event. The workshop aimed not only to present and discuss new lines of research in the dynamic fields of Nonlinear Analysis and Optimization, which drive the development of richer and more innovative Mathematics, but also to share the high-quality standards set by this scientific community. The presentations covered a wide and diverse set of issues within the workshop topics, encompassing the three main groups where Professor Aram Arutyunov made significant contributions: Optimal Control – Pontryagin’s Maximum Principle, State and Mixed Constraints, Degeneracy Phenomena, Controllability Conditions, Generalized Controls, Impulsive Control Problems, Second-Order Optimality Conditions; Abnormal Problems – Second-Order Optimality Conditions for Abnormal Minimizers, Inverse and Implicit Function Theorems at Abnormal Points; Nonlinear Analysis – Quadratic Mappings, Coincidence Points of Mappings, Covering Properties. Thus, the STRIDE workshop offered a unique platform for discussing and promoting new ideas and values of excellence in mathematical research, inspiring significant advances in the fields addressed and strengthening the scientific community at the frontier of knowledge in control and optimization.
