Nonlinear control systems represent a critical area of study wherein the relationship between inputs and outputs is not directly proportional, resulting in complex and often unpredictable dynamics. In ...

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 ...

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.

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 ...

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 ...