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H control of discrete-time linear systems constrained in state by equality constraints

-548. Filasov´a, A. and Krokavec, D. (2010). Observer state feedback control of discrete-time systems with state equality constraints, Archives of Control Sciences 20 (3): 253-266. Filasov´a, A. and Krokavec, D. (2011). Constrained H ∞ control of discrete-time systems. Proceedings of the 15th WSEAS International Conference on Systems, 2011, Corfu, Greece , pp. 153-158. Gahinet, P., Nemirovski, A., Laub, A.J. and Chilali, M. (1995). LMI Control Toolbox User’s Guide , The MathWorks, Natick, MA. Gajic, Z. and Qureshi, M

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PMSM Servo-Drive Fed by SiC MOSFETs Based VSI

Abstract

The article presents modern PMSM servo-drive with SiC MOSFETs power devices and microprocessor with ARM Cortex core. The high switching frequency is obtained due to the application of high efficient power switching components and powerful microprocessor. It allows to achieve good dynamical properties of current control loop, proper disturbance compensation and silent operation of servo-drive. Experimental tests results obtained for two different control schemes (i.e., cascade control structure and state feedback position control) are presented.

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APPLICATION OF ARTIFICIAL BEE COLONY ALGORITHM TO AUTO-TUNING OF STATE FEEDBACK CONTROLLER FOR DC-DC POWER CONVERTER

References [1] LINARES-FLORES J., SIRA-RAMIREZ H., DC motor velocity control through a DC-to-DC power converter, Proc. of IEEE Decision and Control Conf. CDC, 2004, 5, 5297-5302. [2] TARCZEWSKI T., NIEWIARA Ł., GRZESIAK L.M., Torque ripple minimization for PMSM using voltage matching circuit and neural network based adaptive state feedback control, Proc. of IEEE EPE 14-ECCE Conf., 2014, 1-10. [3] FANG J., LI W., Li H., XU X., Online inverter fault diagnosis of Buck-Converter BLDC motor combinations, IEEE Trans

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Variable structure observer design for a class of uncertain systems with a time-varying delay

Abstract

Design of a state observer is an important issue in control systems and signal processing. It is well known that it is difficult to obtain the desired properties of state feedback control if some or all of the system states cannot be directly measured. Moreover, the existence of a lumped perturbation and/or a time delay usually reduces the system performance or even produces an instability in the closed-loop system. Therefore, in this paper, a new Variable Structure Observer (VSO) is proposed for a class of uncertain systems subjected to a time varying delay and a lumped perturbation. Based on the strictly positive real concept, the stability of the equivalent error system is verified. Based on the generalized matrix inverse approach, the global reaching condition of the sliding mode of the error system is guaranteed. Also, the proposed variable structure observer will be shown to possess the invariance property in relation to the lumped perturbation, as the traditional variable structure controller does. Furthermore, two illustrative examples with a series of computer simulation studies are given to demonstrate the effectiveness of the proposed design method.

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Different Synchronization Schemes for Chaotic Rikitake Systems

References Chen A.M., Lu J.A. and Ln J.H. (2006): Generating hyperchaotic Lu attractor via state feedback control . - Physics A, vol.364, pp.103-110. Khan M., Mondal A. and Poria S. (2011): Three control strategies for unified chaotic system . - Int. J. of App. Mech. and Eng., vol.16, pp.597-608. Lu Chen (2002): Synchronization of an uncertain unified chaotic system via adaptive control . - Chaos, Solitons and Fractals, vol.14, pp.643. Ott E., Grebogi and York J.A. (1990): Controlling

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Additive fault tolerant control of nonlinear singularly perturbed systems against actuator fault

. Khireddine, A. Boutarfa, ”Reconfigurable Control for a Scara Robot Using RBF Networks”, Journal of Electrical Engi- neering, vol. 61, no. 2, Mar 2010, 100-106. [10] G. H. Yang, S. Y. Zhang, J. Lam, J. L. Wang, ”Reliable Con- trol Using Redundant Controllers”, IEEE Transactions on Au- tomatic Control, vol. 43, no. 11, Nov 1998, 1588-1593. [11] Q. Zhao, J. Jiang, ”Reliable State Feedback Control System Design Against Actuator Failures”, Automatica, vol. 34, no. 10, Oct 1998 1267-1272. [12] M. L. Corradini, G. Orlando, ”Actuator

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Model-free reconfiguration mechanism for fault tolerance

-252. Zhao, Q. and Jiang, J. (1998). Reliable state feedback control systems design against actuator failures, Automatica   34 (10): 1267-1272.

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Models and Algorithms for the Reconfiguration of Virtual Enterprise Information System Structure

control: survey,” IFAC SAFEPROCESS’97, Hull, UK, vol.2, p.1033+, August 1997 [16] S. M. Joshi, “Design of failure accommodating multiloop LQG type controllers,” IEEE Trans.Automat.Cont., vol.32, no.8, 1987. [17] R. Veillette, I. Medanic, and W. Perkins, “Design of reliable control systems,” IEEE Trans.Automat.Cont., vol.37, no.3, p.290+, 1992 [18] Q. Zhao and J. Jiang, “Reliable state feedback control system design against actuator failures,” Automatica, vol.43, no.10, p.1267+, 1998. [19] J. S. Eterno, J. L

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An active fault-tolerant control framework against actuator stuck failures under input saturations

References Benhayoun, M., Benzaouia, A., Mesquine, F. and Hajjaji, A.E. (2013). System stabilization by unsymmetrical saturated state feedback control, 9th Asian Control Conference (ASCC), Istanbul, Turkey, pp. 1-5. Cen, Z., Noura, H. and Younes, Y.A. (2015). Systematic fault tolerant control based on adaptive Thau observer estimation for quadrotor UAVs, International Journal of Applied Mathematics and Computer Science 25(1): 159-147, DOI: 10.1515/amcs-2015-0012. Chen, J. and Patton, R.J. (2012). Robust Model

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Robust guaranteed performance PID controller design for non-minimum phase plants

, Paper 2003-5550. [4] J. Hauser, S. Sastry and G. Meyer, “Nonlinear Control Design for Slightly NonMinimum Phase Systems: Application to V/STOL Aircraft”, Automatica , vol. 28, no. 4, Pp.665-679, 1992. [5] D. S. Kwon and W. J. Book, “A TimeDomain Inverse Dynamic Tracking Control of A SingleLink FlexibleManipulator”, J. Dyn. Syst. T. ASME , vol. 116, pp.193-200, 1994. [6] C. Kravaris and P. Daoutidis, “Nonlinear State Feedback Control of SecondOrder NonminimumPhase Nonlinear Systems”, Comput. Chem. Eng. , vol. 14, no. 4/5, Pp.439-449, 1990. [7

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