Nonlinear control systems and methods address the complexities inherent in systems whose outputs are not directly proportional to their inputs. These approaches involve a range of strategies – from ...

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been ...

Dr. Robinett specializes in nonlinear control and optimal system design of energy, robotics, and aerospace systems. Of particular interest in the energy arena is the distributed, decentralized ...

Differential equations and systems analysis. Undergraduate controls and/or signal processing course would satisfy this requirement. A graduate-level systems course is also helpful, but not necessary.

Servo controllers commonly use traditional cascaded configurations in which a velocity loop is nested within a position loop. This configuration originated when current and velocity controllers were ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This kind of control will be a key factor in energy efficiency, allowing ...

Working alongside Rolls-Royce experts, from within a world-class Control Department, the UTC carries out short-term and long-term collaborative research with the aim of supporting the company's ...