Since their introduction, anti-lock braking systems (ABS) have mostly relied on heuristic, rule-
based control strategies. ABS performance, however, can be significantly improved thanks …

This work presents a comparative analysis of PID, DTC and MPC strategies when used to
control SISO processes with dead time considering characteristics commonly found in …

Existing monitoring and control of an induction motor systems must be interoperable with
next generation products to ensure smart integration in order to update existing system by …

We study the computational complexity certification of inexact gradient augmented
Lagrangian methods for solving convex optimization problems with complicated constraints …

In this paper we propose a parallel coordinate descent algorithm for solving smooth convex
optimization problems with separable constraints that may arise, eg in distributed model …

Throughout the years, the computing power of industrial controllers has steadily increased.
Together with the development of efficient quadratic program (QP) solvers, this raises the …

The prime aim of this paper is to embed a predictive control (MPC) algorithm with constraint
handling capabilities into a programmable logic controller (PLC). In order to achieve it, this …

This paper presents the process of designing, fabricating, assembling, programming and
optimizing a prototype nonlinear mechatronic Ball-Plate System (BPS) as a laboratory …

Abstract In Dynamic Matrix Control (DMC) algorithm, the control signal is computed optimally
based on the process model. In effect, the DMC algorithm allows for obtaining a better …

This paper concentrates on the possibilities of the application of the virtual commissioning
procedure for the design and verification of the control systems for the continuous industrial …