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 ...

Stochastic Model Predictive Control (SMPC) for linear systems is an advanced control framework that blends systematic optimisation with probabilistic forecasting. By explicitly accounting for ...

An international research team has developed a new control strategy for microgrid-connected PV systems that uses integral backstepping control (IBC) – an evolution of the backstepping control (BC) ...

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 ...

The most recent class of control techniques to be used are collectively referred to as adaptive control. Although the basic algorithms have been known for decades, they have not been applied in many ...

Propel your career forward with an accredited graduate certificate. Control systems are fundamental to engineering. They can also provide the fundamental shift that expands your career in whatever ...