Jan Ciganek

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A development of advanced control methods based on robustness, optimality and prediction is an important and challenging task. In recent years, a new control approaches have emerged to replace or augment conventional control engineering methods. The paper presents: design, verification and comparison of three advanced methods (IMC, MPC, PLM) applied in the(More)
The paper deals with the design and implementation of an intelligent modular information system (IMIS) for modeling and predictive decision making supervisory control of some important critical processes in a nuclear power plant (nuclear reactor) using selected soft computing methods. The developed IMIS enables monitoring critical states, safety impact(More)
The paper deals with simple and robust discrete controller design using new approach using the reflection vectors techniques. We assume that the controller structure consists of feed-forward and feedback parts. Developed robust algorithms were tested on the case study examples for different dynamical processes stable, unstable and oscillating type.(More)
The presented paper deals with design, co-simulation and comparison of three controller design methods (Internal Model Control, Pole-Placement, PID by Modulus Optimum) applied in the control of processes with complex dynamics. The presented and tested methods guarantee robust stability and high performance of controlled system. Proposed algorithms were(More)
The paper deals with an effective approach of the robust controller design, based on the fuzzy logic. We developed algorithms with variable sampling for trajectorytracking. The proposed controller design and sampling algorithms are verified on the case study of the chosen mechatronic system. All numerical and graphical results are obtained in Co-simulation(More)
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