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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 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 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 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)
The presented paper deals with simple and practical methods of discrete controller design using conventional approach based on robust stability analysis in frequency domain, and the new approach using the reflection vectors techniques. We assume that the control structure consists of feed-forward and feedback part. Proposed algorithms were tested in(More)
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