Neural Network Inverted Pendulum Control
Implementing Inverted Pendulum Control Using Neural Networks with Code Implementation Strategies
Explore MATLAB source code curated for "控制" with clean implementations, documentation, and examples.
Implementing Inverted Pendulum Control Using Neural Networks with Code Implementation Strategies
This guide provides a comprehensive overview of implementing closed-loop control for brushless DC motors in MATLAB, featuring detailed explanations of each module, fundamental motor control principles, and practical application examples with code implementation insights.
Among various nonlinear systems, the inverted pendulum serves as a classic example where reinforcement learning is implemented for control.
Designed for automotive MATLAB simulations with specific focus on clutch control systems, this implementation utilizes fuzzy PID control algorithms to achieve more rational and precise control performance.
MRAS method for speed sensorless control of induction motor model, capable of closed-loop operation and direct deployment to dSpace real-time control systems with enhanced implementation features.
MATLAB Simulation for Crane-Double Pendulum System Control (Two-Stage Inverted Pendulum) featuring S=1 LQR Control and S=2 PID Control implementations
Simulink-based simulation of fuzzy systems with implementation examples for controlling first-order and second-order dynamic systems, including algorithm design and performance analysis.
This practical MATLAB Simulink example demonstrates automatic generation control in power systems through two comprehensive system diagrams, featuring implementation details of control algorithms and modeling approaches.
Implementation of Fuzzy PID Control for DC Motors - A Detailed Graduation Project Study on Fuzzy Control Algorithms with Comprehensive Code Documentation for Future Reference
Ready-to-run MATLAB code for comprehensive audio control and playback, featuring detailed implementation explanations and function descriptions.