MATLAB Implementation of Sliding Mode Control

The sliding mode control program can effectively control system parameters in nonlinear systems while demonstrating strong disturbance rejection capabilities. This control methodology is based on the design of sliding surfaces, where system control is achieved by adjusting sliding surface parameters through switching functions and control laws. The implementation typically involves defining the sliding surface variable 's' and calculating the control input 'u' using sign(s) or saturation functions to reduce chattering. Additionally, sliding mode control can be applied to systems with partially unknown parameters by incorporating adaptive control strategies that estimate uncertainties online through parameter update laws. Therefore, sliding mode control represents a highly effective control method widely implemented in industrial automation, robotics control, and aerospace applications using MATLAB's Simulink environment or direct coding of control algorithms with boundary layer techniques for smoother performance.