Max-plus linear systems represent a class of mathematical models where the conventional operations of addition and multiplication are replaced by maximisation and addition, respectively. This ...

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 ...

Fractional control systems with the Caputo derivative are considered. The modified controllability Gramian and the minimum energy optimal control problem are investigated. Construction of minimizing ...

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 ...

CATALOG DESCRIPTION: Linear feedback control systems, their physical behavior, dynamical analysis, and stability. Laplace transform, frequency spectrum, and root locus methods. System design and ...

Inclusion Principle for Linear Time-Varying Systems, SIAM Journal on Control and Optimization, 42 (2003), 321-341 (with S. S. Stankovic). Stabilization of Nonlinear Systems With Moving Equilibria, ...

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 ...

Interactive configurators, real-time data access, RFQ automation, expert-guided product selection and error prevention are ...

The Control and Power Systems Laboratory (CAPS) focuses on advanced control systems, optimisation, and cybersecurity with applications to power systems, smart grids, microgrids, and power electronics ...