👉 Control math, often used in robotics and autonomous systems, is a branch of mathematics that deals with the design and implementation of algorithms to control dynamic systems. It focuses on determining the necessary inputs (control signals) to achieve desired outputs or states in a system, such as maintaining a robot's balance or following a specific trajectory. This involves using mathematical models to predict system behavior, often incorporating differential equations and optimization techniques, to compute control actions that minimize errors or achieve specific goals. Control math is essential for ensuring stability, accuracy, and efficiency in the operation of complex systems, enabling them to adapt to changing environments and perform tasks autonomously.
