Control and Systems Engineering
Research in Control and Systems Engineering advances methods for modelling, analysis and synthesis of dynamic systems across domains. Topics include robust and adaptive control, state‐space identification, and optimal feedback strategies under uncertainty. Contributions on nonlinear system stability, H∞ design, and observer‐based fault detection strengthen resilience in critical applications. Studies integrating networked control systems, cyber‐physical architectures and real‐time constraints address emerging challenges in autonomy and Industry 4.0. Experimental validations on hardware‐in-the-loop platforms or pilot installations demonstrate practical viability and performance robustness.