Abstract: Model predictive controllers use dynamics models to solve constrained optimal control problems. However, computational requirements for real-time control have limited their use to systems ...
Abstract: This letter presents the modeling, system identification and nonlinear model predictive control (NMPC) design for longitudinal, full envelope velocity control of a small tiltwing hybrid ...
For years, digital twins were viewed as useful but optional. Digital twins are rapidly evolving into essential intelligence ...
Aerospace and Mechanical Insider on MSN
Reinforcement learning boosts exoskeleton squat stability
Robotic lower extremity rehabilitation exoskeletons face a persistent challenge: maintaining stability and robustness during ...
Aerospace and Mechanical Insider on MSN
Hierarchical reinforcement learning boosts air defense efficiency
Modern air defense confrontations demand rapid, precise task assignments in environments where threats evolve within seconds.
The Computer Weekly Security Think Tank considers if Anthropic’s Claude Mythos frontier AI model is a benefit or barrier to ...
Building on its Unity Catalog integration, HiddenLayer is working with Databricks to extend model security, AI threat ...
Wave, recently announced its forthcoming gate-model quantum computing simulator, a move that expands its gate-model roadmap designed to accelerate the development of ...
Cohere North secured by HiddenLayer enables enterprises to deploy AI agents across business systems with built-in protection ...
To sharpen the betting angles on the 2026 World Cup, we ran Norway vs France through three of the leading AI models - ChatGPT ...
To sharpen the betting angles on the 2026 World Cup, we ran Uruguay vs Spain through three of the leading AI models - ChatGPT ...
While vision and language are key parts of physical AI, physical state recovery will enable robots to interact with the world ...
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