Abstract: In this article, we study the reinforcement learning (RL) optimal output feedback control problem for Takagi–Sugeno (T–S) fuzzy systems with immeasurable states and disturbances. A fuzzy ...
Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...
Abstract: Neural network adaptive iterative learning control (ILC) is developed in this article to treat strict-feedback nonlinear systems with unknown state delays and input saturation. These delays ...
#inputleap on LiberaChat IRC network, for support with Input Leap. #inputleap-dev on LiberaChat IRC network, for discussing development of Input Leap. Input Leap is software that mimics the ...
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