This paper deals with an efficient application of a model-based predictive control scheme in
parallel mechanisms. A predictive functional control strategy based on a simplified dynamic …

Predictive fuzzy PID control theory is developed in this paper, which offers a new approach
for robust control of time-delay systems. The paper describes the functional structure, design …

As the title suggests, this thesis can be divided into several parts. On the one hand it
considers identi cation as well as control, on the other hand linear as well as bilinear …

Temperature control in buildings has been a highly studied area of research and interest
since it affects the comfort of occupants. Commonly, temperature systems like centralized air …

Plant knowledge is essential to the development of feedback control laws for dynamic
systems. In cases where the plant is difficult or expensive to model from first principles …

The continuous-time version of the local model network (LMN) approach of Johansen and
Foss is discussed. A distinction is made between local state and global state LMNs; the …

Abstract Model predictive control has become one of the dominant methods of chemical
process control in terms of successful industrial applications and as a focus of academic …

The paper is focused on a design of a self-tuning predictive model control (STMPC)
algorithm and its application to a control of a laboratory servo motor. The model predictive …

There has been much work on self-tuning PID controllers. There are many possible
structures for PID controllers. The basic concepts of PID control can be generalised within …

Identification and control experiments were performed on a laboratory scale heat transfer
process. A NARX model based on a combination of several local ARX models is identified …