Robust control is a branch of control theory that explicitly deals with uncertainty in its approach to controller design. Robust control methods are designed to function properly so long as uncertain parameters or disturbances are within some (typically compact) set. Robust methods aim to achieve robust performance and/or stability in the presence of bounded modeling errors.
The early methods of Bode and others were fairly robust; the state-space methods invented in the 1960s and 1970s were sometimes found to lack robustness, prompting research to improve them. This was the start of the theory of Robust Control, which took shape in the 1980s and 1990s and is still active today.
In contrast with an adaptive control policy, a robust control policy is static; rather than adapting to measurements of variations, the controller is designed to work assuming that certain variables will be unknown but, for example, bounded.
Read more about Robust Control: When Is A Control Method Said To Be Robust?, The Modern Theory of Robust Control
Famous quotes containing the words robust and/or control:
“Standing armies can never consist of resolute robust men; they may be well-disciplined machines, but they will seldom contain men under the influence of strong passions, or with very vigorous faculties.”
—Mary Wollstonecraft (1759–1797)
“The general fact is that the most effective way of utilizing human energy is through an organized rivalry, which by specialization and social control is, at the same time, organized co-operation.”
—Charles Horton Cooley (1864–1929)