The 1950s to the 1970s saw many breakthroughs in optimal control. It provides a systematic, model-based framework for designing feedback controllers that balance performance objectives such as tracking, stability, and disturbance rejection against control effort using mathematically defined optimality criteria.
Learn what the Linear Quadratic Integrator (LQI) is, how to construct control design models for its application, and properties of the resulting controller.