About the Gap between Theory and Practice.- Part I: From Theory towards Practice.- Identification and Control Using Piece-wise Hammerstein Models.- Tracking Explicit Model Predictive Controllers for Low-level Control Applications.- Divide-and-conquer Method for Analysis and Control of Nonlinear Systems.- Model-based Control of Nitrogen-removal Processes in a Wastewater-treatment Plant.- Part II: From Practice towards Theory.- Temperature Control in a Plastic Extruder Control System.- Tension Control in a Steel-slitting Line.- Final Quality Assessment in the Manufacturing of Electrical Motors.- Model-based Estimation of Burn Injuries.- Part III: Tools and Building Blocks for Control Systems Implementation.- A PLC-based System for Advanced Control.- An Approach to Control Systems SW Development.
Stanko Strmčnik joined the Jožef Stefan Institute, the leading
Slovenian research institute in the field of natural sciences and
engineering, in 1973. Since 1986 he has been head of the Department
of Computer Automation and Control (later renamed the Department of
Systems and Control) at the same institute. He is also a professor
at the Faculty of Electrical Engineering, University of Ljubljana
and at the School of Engineering and Management, University of Nova
Gorica. During his career he has been involved in numerous
research-and-development projects as well as various industrial
applications. His research interests involve mathematical
modelling, identification, optimal control, predictive control, PID
tuning, process control, non-technical aspects of automation and
technology transfer. He initiated and led the development of
various tools and building blocks for control system
implementation, e.g., SIMER – a microcomputer-based
data-acquisition and control system, ANA – a universal
computer-aided control systems design tool, MMC-90 – a
microprocessor multi-loop controller, and ASPECT – a PLC-based
system for advanced control. He was also deeply involved in some
large industrial engineering projects, among them combustion
control in boilers and industrial furnaces, the computer control of
pulp cooking, and the computer control of titanium dioxide
production.
Đani Juričić is a research fellow at the Jožef Stefan
Institute and a professor of electrical engineering at the
University of Nova Gorica. For almost 30 years he has been active
in applied research in automatic control through numerous research
grants and projects for industry, in the majority of which he acted
as project leader. His research interests include condition
monitoring, fault detection, isolation and prediction, the
mathematical modelling of dynamical processes, signal processing,
system identification, PID and optimal controller design. He has
contributed to the CACSDtool ANA, algorithms for the control design
of systems with backlash, the control of Wiener systems, PID
tuning, modelling for the purpose of control, validation of
data-driven models, algorithms for robust control and fault
detection, and novel fault-localisation approaches based on
approximate reasoning. His notable industrial accomplishments
include algorithms for the on-line, model-based control of a pulp
cooking process, condition monitoring systems for several processes
in the chemical and process industries, a prototype of a system for
fault detection and isolation in the production of electrical
motors and a system for the on-line supervision of rotational
machines and drives.
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