An AI agent, combined with a model context protocol (MCP), can create more contextual AI systems that can perform a wide ...

The Odessa American is the leading source of local news, information, entertainment and sports for the Permian Basin.

For bionic underwater robots, it is a great challenge for depth control due to model uncertainty and strong nonlinearity. To this end, we propose a data-driven model predictive control (MPC) approach ...

Interaction measure determines decentralized and sparse control configurations for a multivariable process control. This paper investigates interval type-2 Takagi-Sugeno fuzzy (IT2TSF) model based ...

MCP Server: Mermaid Validator A Model Context Protocol server that validates and renders Mermaid diagrams. This server enables LLMs to validate and render Mermaid diagrams.

Abstract The Flory−Huggins interaction is measured for a model rod−coil block copolymer system, poly (alkoxyphenylenevinylene- b -isoprene), by fitting the interfacial segregation of block copolymer ...

Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth! - tadata-org/fastapi_mcp ...

In Laravel, implementing the Model-View-Controller architecture involves creating models, views, and controllers to separate application concerns.

Leveraging this method, a Q-learning-based Nonlinear Model Predictive Control (QL-NMPC) framework is developed and trained in a simulated environment, where the agent learns to regulate temperature ...