Explore MATLAB source code curated for "自适应控制" with clean implementations, documentation, and examples.
This article introduces an adaptive control methodology that combines RBF neural networks with PID control algorithms, including implementation insights and practical applications.
MATLAB simulation implementation of adaptive control using RBF neural networks, featuring online learning algorithms and system parameter adaptation
Implementation of adaptive control simulation for quadrotor unmanned aerial vehicles using established algorithms, with custom S-function development and model construction
Quadrotor Simulink adaptive control algorithms featuring both identification-based adaptive control and non-identification adaptive approaches, along with PID control implementation and comparative analysis
This program implements an adaptive control system using generalized fuzzy neural network theory developed with MATLAB programming, featuring enhanced algorithm descriptions and implementation details.
Implementation of Direct Model Reference Adaptive Control using RBF neural networks, providing a reference solution with practical code examples that can assist in control system development.
Adaptive Control and Simulink Modeling Techniques
A Simulink program for adaptive control addressing model-free adaptive (MFA) control challenges with implementation of key algorithms
MATLAB Simulation for System Identification and Adaptive Control
An in-depth exploration of adaptive control systems that autonomously adjust control strategies based on environmental changes, featuring implementation approaches using modern algorithms and real-time monitoring techniques.