Robust adaptive sliding mode tracking control for discrete T-S fuzzy singular systems via auxiliary state variables

Key Points

• Tracking control is enhanced through a robust sliding mode approach, ensuring system stability.
• Key evidence indicates improved accuracy in error tracking is achieved under varying conditions.
• The method employs T-S fuzzy model analysis alongside auxiliary state variables for optimizing performance.
• This highlights the need for robust control methods in complex control scenarios, emphasizing system adaptability.