Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems

发表于 2025-6-6 09:50:29

It seems like you might be looking for information on applying fixed-time adaptive neural tracking control to uncertain nonstrict nonlinear systems.

This topic involves using adaptive neural networks in order to estimate and control the behavior of uncertain nonstrict nonlinear systems. These types of systems are often complex and difficult to predict, with uncertainties that can make traditional control methods inadequate.

In such a case, one promising solution is the use of fixed-time adaptive neural tracking control. This method uses adaptive neural networks to track the system's behavior over a certain fixed period of time. Through this, the system's behavior can be approximated more accurately even when there are uncertainties.

The main objective is to ensure that the tracking error converges to a small neighborhood of the origin within a specified fixed time, despite the uncertainties and external disturbances.

If you need more specific information or help to understand particular aspects of this topic, feel free to ask!

[已完结] Fixed-time adaptive neural tracking control for a class of uncertain nonstrict nonlinear systems

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