Abstract: This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli ...
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Description: 👏SUBSCRIBE to my channel here: ️Support my channel by becoming a member: 🗂️ Organized videos by classes here: 🌐 My Website - 🎯Survive Math Class Checklist: Ten Steps to a Better Year: ...
Abstract: This article proposes a data-driven model-free inverse Q-learning algorithm for continuous-time linear quadratic regulators (LQRs). Using an agent’s trajectories of states and optimal ...
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