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Architectural approach to cope with network-induced problems in network control systems design

: Tradeoffs between Transmission Intervals, Delays and Performance”, IEEE Transactions on Automatic Control vol. 55, no. 8, 2010, pp. 1781–1796. [16] I. Polushin, P. Liu and C. Lung, “On the Model-Based Approach to Nonlinear Networked Control Systems”, Automatica vol. 44, no. 9, 2008, pp. 2409–2414. [17] Q. Nguyen, V. Veselý, A. Kozáková and P. Pakshin, “Networked Robust Predictive Control Systems Design with Packet Loss”, Journal of Electrical Engineering vol. 65, no. 1, 2014. [18] G. Ewald and M. Brdys, “Model Predictive Controller for Networked

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NETWORKED ROBUST PREDICTIVE CONTROL SYSTEMS DESIGN WITH PACKET LOSS

Abstract

The paper addresses problem of designing a robust output feedback model predictive control for uncertain linear systems over networks with packet-loss. The packet-loss process is arbitrary and bounded by the control horizon of model predictive control. Networked predictive control systems with packet loss are modeled as switched linear systems. This enables us to apply the theory of switched systems to establish the stability condition. The stabilizing controller design is based on sufficient robust stability conditions formulated as a solution of bilinear matrix inequality. Finally, a benchmark numerical example-double integrator is given to illustrate the effectiveness of the proposed method.

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Modeling and Simulating of Single Side Short Stator Linear Induction Motor with the End Effect

Modeling and Simulating of Single Side Short Stator Linear Induction Motor with the End Effect

Linear induction motors are under development for a variety of demanding applications including high speed ground transportation and specific industrial applications. These applications require machines that can produce large forces, operate at high speeds, and can be controlled precisely to meet performance requirements. The design and implementation of these systems require fast and accurate techniques for performing system simulation and control system design. In this paper, a mathematical model for a single side short stator linear induction motor with a consideration of the end effects is presented; and to study the dynamic performance of this linear motor, MATLAB/SIMULINK based simulations are carried out, and finally, the experimental results are compared to simulation results.

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Swinging up the Furuta Pendulum and its Stabilization Via Model Predictive Control

Implementations, In: Preprints from the IFAC Conference Control System Design (ˇ S. Koz´ak and M. Huba, eds.), Slovak University of Technology, Bratislava, Slovakia, 205-212. [9] KOUVARITAKIS, B.-ROSSITER, J. A.-CHANG, A. O. T. : Stable Generalized Predictive Control: An Algorithm with Guaranteed Stability, IEE Proceedings Part D 139 No. 4 (1992), 349-362. [10] KOUVARITAKIS, B.-ROSSITER, J.-SCHUURMANS, J. : Efficient Robust Predictive Control, Automatic Control, IEEE Transactions on 45 No. 8 (2000), 1545-1549, doi: 10

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Utilization of Advanced Methods in the Control of a Mechatronic System with Flexible Elements

References: 1. VUKOSAVIC, S., STOJIC, M., 1998. Suppression of Torsional Oscillations in a High-Performance Speed Servo Drive. In: IEEE Trans. on Industrial Electronics , vol. 45, pp. 108-117 2. ELLIS, G., 2004. Control system design guide . San Diego: Elsevier Academic Press. 464 pp. 3. VÍTEČKOVÁ, M., VÍTEČEK, A., 2003. Modulus optimum for digital controllers. In: Acta Montanistica Slovaca, vol. 8, no. 4, pp. 214 – 216. 4. BALÁTĚ, J., 2003. Automatické řízení (Automatic Control). Praha: BEN – technická literatura. ISBN 80

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Single Phase PWM Rectifier in Traction Application

Controller for Standalo Power Generation, EPE 2007 Conference Alborg, Danmark, 2007. LETTLE, J—DOLECEK, R. : EMC Increasing of PWM Rectifier in Comparison with Classical Rectifier, Radioengineering 17 No. 4 (2008), 93-100. MICHALIK, J.—MOLNAR, J.—PEROUTKA, Z. : Single Phase Current-Source Active Rectifier for Traction: Control System Design and Practical Problems, 6th International Conference "LEKTRO 2006", Žilina, Slovakia, May 23-24, 2006. SATO, Y.—ISHIZUKA, T.—NEZU, K.—KATAOKA, T. : A New

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Achieving an Equilibrium Position of Pendubot Via Swing-Up and Stabilizing Model Predictive Control

State-Space Approach to Stable-Predictive Control Strategies, Automatica 34 No. 1 (1998), 65-73. [13] KOUVARITAKIS, B.–LEE, Y. I.–TORTORA, G.–CAN-NON, M.: MPC Stability Constraints and their Implementations, Preprints from the IFAC Conference Control Systems Design, Bratislava, Slovakia, 2000, pp. 205-212. [14] BLANCHINI, F.: Set Invariance in Control, Automatica 35 No. 11 (1999), 1747-1767. [15] KARAS, A.–ROHAĽ-ILKIV, B.–BELAVÝ, C: Praktické As-pekty Prediktívneho Riadenia, Slovak University of Technology / Slovensk´ e-akadémia, Bratislava, 2006. (In Slovak

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Simultaneous exact model matching with stability by output feedback

References [1] V. Blondel, G. Campion and M. Gevers, ”Sufficient condition for simultaneous stabilization”, EEE Transactions on Automatic Control, vol. 38, no.8, pp. 1264-1266, 1993. [2] J. Bridwell, D. Castanon and M. Athans, ”On reliable control system design with and without feedback reconfiguration”, Proceedings of IEEE Conference on Decision and Control, pp. 419-426, 1979. [3] R. Saeks and J. Murrey, ”Fractional reprecentations, algebraic geometry and the simultaneous stabilization problem”, IEEE

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Fuzzy Backstepping Torque Control Of Passive Torque Simulator With Algebraic Parameters Adaptation

Missile Rudder Electric Loading Simulation System, Journal of Computer, Measurement and Control (2010). [19] JING, G.—CAO, L.—IN, R. M. : Simulation of Control Method of Torque Servo System with Position Disturbance, Journal of Beijing Institute of Machinery 20 No. 2 (Jun 2005). [20] WANG, X.—FENG, D.—SUN, S. : Electric Load Motion Control System Design with Invariance Theory, IEEE Chinese Control and Decision Conference, (CCDC), 2009. [21] YOO, B. K.—HAM, W. C. : Adaptive Control of Robot Manipulators Using Fuzzy Compensator, IEEE Transaction on

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Analytic Root Locus and Lambert W Function in Control of a Process with Time Delay

of the Analytic Method and Computer Alge- bra to Plot Root Loci, International Journal of Electrical Engineering Education 35 (1998), 350-356. KING-SMITH, E. A.: Stability Analysis of Linear Continuous Time-Delay Feedback Systems, International Journal of Control 13 (1971), 633-655. COGAN, B.: Optimum Stability in Control System Design, PhD thesis, Department of Electronic and Electrical Engineering, Trinity College, Dublin, 2006. COGAN, B.—de PAOR, A. M.—QUINN, A.: PI Control of

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