Data Driven Control and Learning Systems Conference (DDCLS) is an IEEE conference organized by Technical Committee on Data Driven Control, Learning and Optimization, …

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Data-driven control systems are a broad family of control systems, in which the identification of the process model and/or the design of the controller are based entirely on experimental data …

Nov 16, 2022 · It studies a novel data-driven framework for the design and analysis of iterative learning control (ILC) for nonlinear discrete-time systems. A series of iterative dynamic …

This section introduces a few modern system identification techniques. It touches on some data driven control methods, but these will be explored in more depth in the reinforcement learning …

With a focus on integrating dynamical systems modeling and control with modern methods in applied machine learning, this text includes methods that were chosen for their relevance, …

In this article, we commence by presenting an overview of the design principles embedded in model-based control systems, with a specific emphasis on adaptive and robust control system …

”Control theory makes no claims about the performance or stability of physical systems; only about their models.” ”[Model-based control] starts and ends with the model. To some extent, it …

The objectives of DDCLS’24 are to provide high quality research and professional interactions on the advancements of theory, technology and practical applications in the fields of data-driven …

May 11, 2025 · This paper presents a comprehensive overview of data-driven model predictive control, highlighting state-of-the-art methodologies and their numerical implementation. The …