The developed LMI-based observer design methodology can find applications in various fields beyond Li-ion battery State-of-Charge (SoC) estimation. One potential application is in autonomous vehicle systems, where accurate state estimation is crucial for navigation, obstacle avoidance, and decision-making. By integrating the proposed observer design into the vehicle's control system, it can enhance the accuracy of state estimation and improve the overall performance and safety of autonomous vehicles.
Another application area is in renewable energy systems, such as wind turbines or solar power plants, where monitoring and control of system states are essential for optimizing energy production and grid integration. The LMI-based observer design can be utilized to estimate key parameters and states in these systems, enabling better control strategies and improved efficiency.
Additionally, in aerospace and aircraft systems, the observer design methodology can be applied for flight control, navigation, and fault detection purposes. By accurately estimating the system states and disturbances, the observer can enhance the stability and safety of aircraft operations, leading to improved performance and reliability in challenging flight conditions.