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 ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

Iterative Learning Control (ILC) has emerged as a robust and adaptive technique for addressing the intricate challenges posed by nonlinear systems. By capitalising on ...

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 ...

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 ...

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 ...

Scientists developed a reconfigurable topological photonic system that steers light in real time using optical pumping, ...

An international research group has applied for the first time integral backstepping control (IBC) as a control strategy for PV systems connected to microgrids. Through a series of simulations, the ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

Topological photonics has emerged as a powerful paradigm for achieving robust light transport that is immune to imperfections, disorder, and ...