Fault detection and diagnosis is an important problem in process engineering. It is the
central component of abnormal event management (AEM) which has attracted a lot of …

This is a tutorial on the mathematical theory and process control applications of linear matrix
inequalities (LMIs) and bilinear matrix inequalities (BMIs). Many convex inequalities …

Convex optimization problems arise frequently in many different fields. This book provides a
comprehensive introduction to the subject, and shows in detail how such problems can be …

The control problem was formulated in the previous chapters considering all signals to
possess an unlimited range. This is not very realistic because in practice all processes are …

This paper provides an overview of commercially available model predictive control (MPC)
technology, both linear and nonlinear, based primarily on data provided by MPC vendors. A …

Robustness of control systems to disturbances and uncertainties has always been the
central issue in feedback control. Feedback would not be needed for most control systems if …

Robust optimization is still a relatively new approach to optimization problems affected by
uncertainty, but it has already proved so useful in real applications that it is difficult to tackle …

A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY As a superb
introductory text and an indispensable reference, this new edition of Optimal Control will …

An excellent introduction to feedback control system design, this book offers a theoretical
approach that captures the essential issues and can be applied to a wide range of practical …

In this chapter we present a state space interpretation of the small gain and passivity
approach of the previous chapter. Moreover, we will come to some kind of synthesis …