CONTROLLER design is more troublesome in aerospace systems due to, inter alia, diversity
of mission platforms, convoluted nonlinear dynamics, predominantly strict mission and …

This paper describes the implementation of the model predictive direct torque control
(MPDTC) algorithm for the control of three-phase induction motor drives comprising a three …

Hydroelectric power stations are a major source of electricity around the world;
understanding their dynamics is crucial to achieving good performance. The electrical power …

Alternative and more efficient computational methods can extend the applicability of model
predictive control (MPC) to systems with tight real-time requirements. This paper presents a …

Model Predictive Control (MPC) has its reputation since it can handle multiple inputs and
outputs with consideration to constraints. However, this comes at the cost of high …

Mechatronic systems such as those arising in automotive applications are characterized by
significant non-linearities, tight performance specifications as well as by state and input …

This paper presents a hardware architecture for embedded real-time model predictive
control (MPC). The computational cost of an MPC problem, which relies on the solution of an …

This paper proposes a form of MPC in which the control variables are moved
asynchronously. This contrasts with most MIMO control schemes, which assume that all …

(57) ABSTRACT A system for embedding real-time Model Predictive Control (MPC) in a
System-on-a-Chip (SoC) devices is provided. In the system, a microprocessor is connected …

Vehicle platooning has gained attention for its potential to increase road capacity and safety,
and higher fuel efficiency. Platoon controls are implemented over Vehicle-to-Vehicle (V2V) …