In this work, a novel PID-type adaptive iterative learning control (AILC) method is proposed for a class of nonlinear systems with unspecified control gain matrices and bounded iterative-varying ...
Abstract: This study seeks to develop a data-driven output-feedback homotopic policy iteration for assuring optimal performance of linear unknown continuous-time systems. Conventional policy iteration ...
production-ready framework for orchestrating complex, stateful multi-agent workflows using LangGraph. This project demonstrates how to transition from simple linear LLM chains to sophisticated agentic ...
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