Kniha

J. Mikleš, M. Fikar: Process Modelling, Identification, and Control. Springer-Verlag Berlin Heidelberg, 2007

Research Activities

Optimal Control Design

The main aim of this area is to develop a package of algorithms and program implementation of various known control designs for given plants. The research interests include single input-single output systems as well as multivariable dynamic systems. Control design covers strategies in discrete-time and continuous-time formulation. A program package is created in MATLAB/Simulink environment.

Adaptive Controllers

Most of technological plants exhibit non-linear behaviour. To apply a successful control design to practical problems is a substantial effort. It is known that processes are modelled and controlled with serious difficulties caused by their non-linear behaviour, high order dynamics, and tendency to instability. Many of industrial processes must be considered as multivariable systems. In a great deal of available control design techniques it is often necessary to carry out the steps of modelling, identification and control design. Theory and implementation of adaptive control in technological systems have been the long-time research topics.

Advanced Optimal Process Control

1. Integration of Control and Optimization
2. General Process Models
3. Steady State Optimization
4. Stability
5. Process Dynamics
6. Process Control
7. Optimal Process Control
8. Observers
9. Process Identification
10. Examples

Optimal and Robust Control

1. LQ Control
2. Kalman Filter
3. LQG Control
4. H₂ Control
5. H_∞ Control
6. Robust Control