AI-driven prognostics and diagnostics of batteries
Half-day Workshop
Abstract: This workshop presents new theoretical and experimental approaches for prognostics and diagnostics of batteries.
Half-day Workshop
Abstract: This workshop presents new theoretical and experimental approaches for prognostics and diagnostics of batteries.
Half-day Workshop
Abstract: The world is entering a new era of electrification across transportation, energy, aerospace, and autonomous systems, with lithium-ion batteries at its core. As batteries increasingly power electric vehicles, electric aircraft, grid storage, robotics, and other emerging applications, demands for safety, performance, reliability, and lifetime continue to rise.
Full-day Workshop
Abstract: This hands-on workshop introduces participants to modern open source tools for numerical optimization and model predictive control (MPC), combining concise theory with practical coding, simulation, and live demonstrations.
Half-day Workshop
Abstract: This half-day workshop, entitled Advances in Reinforcement Learning for Control Applications, covers timely technical issues at the intersection of reinforcement learning, control theory, safety, and emerging real-world applications.
Full-day workshop
Abstract: Autonomous systems are rapidly transforming safety-critical domains such as transportation, environmental monitoring, disaster response, and space exploration.