Explore MATLAB source code curated for "可调参数" with clean implementations, documentation, and examples.
Fractional-order PID controllers introduce two additional tunable parameters compared to standard PID controllers, enabling control functionalities unachievable by conventional PID while delivering superior precision and effectiveness.
MATLAB Implementation for Speech Signal Spectrogram Visualization with Adjustable Parameters
PSOt is a specialized Particle Swarm Optimization toolbox that encapsulates the core PSO algorithm components, exposing adjustable parameters to users. Users simply define their objective function (for minimization or maximization), specify variable boundaries, and configure iteration constraints like maximum velocity (Max_V) to initiate autonomous optimization.
This Particle Swarm Optimization (PSO) toolbox encapsulates the core algorithm components, providing users with adjustable parameters for customization. Users simply need to define their objective function (minimization or maximization), specify variable bounds, set iteration parameters like maximum velocity (Max_V), and the toolbox handles the optimization process automatically with configurable swarm intelligence mechanisms.