Data-driven control of nonlinear dynamic systems has emerged as a transformative paradigm in control engineering, leveraging empirical data rather than detailed first-principles models. By embedding ...

Output regulation in nonlinear control systems centres on designing controllers that ensure a system’s output tracks a desired reference signal or rejects persistent disturbances, despite inherent ...

We have considerable expertise in MPC as a powerful tool for providing optimal control in dynamic environments, ensuring real-time performance and adaptability. Our work includes developing predictive ...

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. Agamemnon Crassidis is a Professor in Mechanical Engineering at the Rochester Institute of Technology. He received his B.S., M.S., and Ph.D. in Mechanical Engineering from the State University of ...

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 ...

Our Master of Science degree program in systems and control engineering provides students with the essential skills and tools to combine the efforts of several engineering fields. At the Case School ...

Expand Your Career Options With an Online Control Systems Certificate from One of the Nation’s Top Engineering Schools. Control systems engineers are responsible for designing, developing, and ...