Reference and command governors are add-on control schemes which enforce state and
control constraints on pre-stabilized systems by modifying, whenever necessary, the …

The 'scenario approach'is an innovative technology that has been introduced to solve
convex optimization problems with an infinite number of constraints, a class of problems …

The Kalman filter is the minimum-variance state estimator for linear dynamic systems with
Gaussian noise. Even if the noise is non-Gaussian, the Kalman filter is the best linear …

A power-split hybrid electric vehicle (HEV) combines the advantages of both series and
parallel hybrid vehicle architectures by utilizing a planetary gear set to split and combine the …

Predictive control is a very wide class of controllers that have found rather recent application
in the control of power converters. Research on this topic has been increased in the last …

A widely recognized shortcoming of model predictive control (MPC) is that it can usually only
be used in applications with slow dynamics, where the sample time is measured in seconds …

The use of an inverter with an output LC filter allows for generation of output sinusoidal
voltages with low harmonic distortion, suitable for uninterruptible power supply systems …

Kalman filters are commonly used to estimate the states of a dynamic system. However, in
the application of Kalman filters there is often known model or signal information that is …

engineers into a single volume whilst concentrating on two important research control
design problems: autopilots with rudder-roll stabilization and fin and combined rudder-fin …

Navigation problems of unmanned air vehicles (UAVs) flying in a formation in a free and an
obstacle-laden environment are investigated in this brief. When static obstacles popup …