Design of control systems: classical methods, modern tools and artificial intelligence

The article discusses the problems of synthesizing control algorithms based on linear time-invariant models using artificial intelligence. The article emphasizes the ability of artificial intelligence to build mathematical models of controlled plants based on their descriptions in natural engineering language, comment on the results, and suggest implementation options. It shows the responses of large language models ChatGPT-5, DeepSeek, and Qwen to prompts for solving typical problems of controlling the liquid level in a tank and stabilizing an inverted pendulum on a cart.

Authors: D. H. Imaev, M. Yu. Shestopalov

Direction: Informatics, Computer Technologies And Control

Keywords: control, regulation, stability, invariance, design, algorithm, mathematical model, artificial intelligence

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