Inverted Pendulum

The inverted pendulum, a classic control problem representing an inherently unstable system, serves as a benchmark for testing and developing advanced control algorithms and robotic design principles. Current research focuses on improving control strategies, including reinforcement learning, PID control, and model predictive control, often within the framework of simplified models like the linear inverted pendulum or more complex representations such as the spring-loaded inverted pendulum. These advancements have implications for diverse applications, from balancing robots and legged locomotion to the design of more robust and efficient control systems for various dynamic systems.