These are not static user profiles. They are adaptive models trained on real-world signals, designed to help teams explore how different types of customers might think, behave or respond under ...

Abstract: This paper develops a new partial-state feedback model reference adaptive control (MRAC) scheme, which has full capability to deal with plant uncertainties for output tracking and desired ...

Abstract: This paper concerns high-accuracy tracking control for hydraulic actuators with nonlinear friction compensation. Typically, LuGre model-based friction compensation has been widely employed ...

You will be redirected to our submission process. An intelligent AI agent must learn interactively from its environment and adapt its decision-making to handle novel situations. This adaptability is ...

By aligning the model and strategy, this approach ensures a comprehensive and adaptive solution to the demands of railway big data. Railway big data encompass a vast array of data sources, each ...

As the founder of Open Assembly, he drives the adoption of open talent and AI models that digitally transform staffing to help organizations leverage global talent and ...

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