The behavioral approach to systems theory, put forward 40 years ago by Jan C. Willems,
takes a representation-free perspective of a dynamical system as a set of trajectories. Till …

Abstract Model predictive control is the family of controllers, makes the explicit use of model
to obtain control signal. The reason for its popularity in industry and academia is its …

We consider the problem of optimal trajectory tracking for unknown systems. A novel data-
enabled predictive control (DeePC) algorithm is presented that computes optimal and safe …

Abstract Constrained Predictive Control is radically different from other control approaches
which are conventionally used, or might be used, for flight control. Not only is the design …

Abstract Model predictive control algorithms achieve offset‐free control objectives by adding
integrating disturbances to the process model. The purpose of these additional disturbances …

A design method for PID controllers based on the direct synthesis approach and
specification of the desired closed-loop transfer function for disturbances is proposed …

Linear Model Predictive Control (MPC) continues to be the technology of choice for
constrained, multivariable control applications in the process industry. Successful …

This book has been conceived to progressively introduce concepts of increasing difficulty
and allow learning of theories and control methods in a way which is not too brutal. It …

In this age of globalization, the realization of production innovation and highly stable
operation is the chief objective of the process industry in Japan. Obviously, modern …

The paper explores the standard advanced control elements commonly used in industry for
designing advanced control systems. These elements include cascade, ratio, feedforward …