Process systems are characterized by nonlinearity, uncertainty, large scales, and also the
need of pursuing both safety and economic optimality in operations. As a result they are …

In recent decades, MIMO (Multi-Input-Multi-Output) systems become more and more widely
used in industrial applications. A variety of decoupling control algorithms have been studied …

Much has been written about the general difficulty of develo** the models required for
model-based control of processes whose dynamics exhibit signif icant nonlinearity (for …

A nonlinear controller synthesis scheme is presented that retains the original spirit and
characteristics of conventional (linear) model predictive control (MPC) while extending its …

The feedback control of nonlinear differential and algebraic equation systems (DAEs) is a
relatively new subject. Develo** steadily over the last few years, it has generated growing …

In this paper, we propose a novel framework for integrating scheduling and nonlinear control
of continuous processes. We introduce the time scale-bridging model (SBM) as an explicit …

Significant progress in the area of simultaneous design and control for chemical processes
has been achieved and various methodologies have been put forward to address this issue …

Two formulations of a nonlinear model predictive control scheme based on the second-order
Volterra series model are presented. The first formulation determines the control action …

This article concerns the problem of nonlinear state-observer design. It presents a reduced-
order nonlinear observer design approach, which allows adjustment of the rate of the decay …

A comparative analysis of various decoupling techniques is carried out in this paper. As
most industries deal with multi-input multi-output (MIMO) systems, decouplers are widely …