Data-Driven Event-Triggered Control for Discrete-Time Neural Networks Subject to Actuator Saturation
Abstract: In this article, the data-driven event-triggered control is addressed for unknown discrete-time neural networks (DTNNs) under actuator saturation and external perturbation. The research ...
Abstract: With the increasing adoption of AI-driven tools in software development, large language models (LLMs) have become essential for tasks like code generation, bug fixing, and optimization.
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