Industrial Process Identification and Control Design is devoted to advanced identification
and control methods for the operation of continuous-time processes both with and without …

This paper treats controller design and tuning for systems with two input signals and two
output signals in the process industry. Two design methods that can be combined to form a …

This paper presents an extension of the inverted decoupling approach that allows for more
flexibility in choosing the transfer functions of the decoupled apparent process. In addition …

A novel decoupling control system design for high-dimensional multi-input, multi-output
(MIMO) processes is presented. Based on the Relative Normalized Gain Array (RNGA), an …

In this paper, a novel engineering oriented control system design method for multivariable
processes is presented. By employing the concepts of energy transmission ratio and …

This paper presents a generalized formulation of simplified decoupling to n× n processes
that allows for different configurations depending on the decoupler elements set to unity. To …

An analytical decoupling control method is proposed for multiple-input–multiple-output
(MIMO) processes with multiple time delays. The desired diagonal system transfer matrix is …

In this article, a new analytical method based on the direct synthesis approach is proposed
for the design of a multi-loop proportional-integral (PI) controller. The proposed design …

This paper presents a new tuning methodology of the main controller of an internal model
control structure for n× n stable multivariable processes with multiple time delays based on …

This paper improves an inverted decoupling technique for a class of stable linear
multivariable processes with multiple time delays and nonminimum-phase zeros. Two …