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Nonlinear control for a diesel engine: A CLF-based approach

Systems, Man and Cybernetics 15(1): 116-132. Tanaka, K. and Wang, H.O. (2001). Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach, Wiley, New York, NY. Tomera, M. (2010). Nonlinear controller design of a ship autopilot, International Journal of Applied Mathematics and Computer Science 20(2): 271-280, 10.2478/v10006-010-0020-8. Upadhyay, D., Utkin, V. and Rizzoni, G. (2002). Multivariable control design for intake flow regulation of a diesel engine using sliding mode, 15th Triennial World

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Observer-based fault-tolerant control against sensor failures for fuzzy systems with time delays

of fuzzy control systems, Fuzzy Sets and Systems   45 (2): 135-156. Tanaka, K. and Wang, H. O. (2001). Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , Wiley, New York, NY. Tanaka, K., Ikeda, T. and Wang, H. O. (1998). Fuzzy regulators and fuzzy observers: Relaxed stability conditions and LMI-based designs, IEEE Transactions on Fuzzy Systems   6 (2): 250-265. Takagi, T. and Sugeno, M. (1985). Fuzzy identification of systems and its applications to

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Reducing the Impact of Uncertainties in Networked Control Systems Using Type-2 Fuzzy Logic

and Systems 2 No. 1 (2012), 71-81. [14] HUA, CH.–DING, S. X.: Decentralized networked control system design using T-S fuzzy approach, IEEE Transactions on Fuzzy Systems 20 No. 1 (2012), 9-21. [15] DRAGOLJ, E. et al: Compensation of time-varying delay acting in networked control systems using adaptive simth predictor and parallel fuzzy-PI controller, Proceedings of the 2011 IEEE International Conference on Mechatronics, April 13-15, 2011, Istanbul, Turkey, (2011), 979-984. [16] LIN, T-C.–ROOPAEI, M.: Based on interval type-2 adaptive fuzzy H1 tracking

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A Fault Tolerant Direct Control Allocation Scheme with Integral Sliding Modes

. 47-89. Wells, S. and Hess, R. (2003). Multi-input/multi-output sliding mode control for a tailless fighter aircraft, Journal of Guidance, Control, and Dynamics 26(3): 463-473. Wu, N., Zhang, Y. and Zhou, K. (2000). Detection, estimation, and accommodation of loss of control effectiveness, International Journal of Adaptive Control and Signal Processing 14: 775-795. Zhang, Y. and Jiang, J. (2003). Fault tolerant control system design with explicit consideration of performance degradation, IEEE Transactions on Aerospace

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Robust decentralized power system controller design: Integrated approach

. Rosinová, “Robust PID-PSD Controller Design: BMI Approach”, Asian Journal of Control , vol. 15, no. 2, 2013, pp. 469–478. [22] V. M. Kuncevic and M. M. Lycak, “Control Systems Design usg Lyapunov Function Approach”, Nauka, Moskau, 1977, Russian. [23] M. R. Esmaili, A. Khodabakhshian, P. Ghaebi Panah, and S. Azirkhan, “A New Robust Multi-Machine Power System Stabilizer Design using Quantitative Feedback Theory”, Procedia Technology vol. 11, 2013, pp. 75–85. [24] A. E. Leona, J. M. Mauriciob and J. A. Solsonaa, “Multi-Machine Power System Stability

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Technology of Spatial Data Geometrical Simplification in Maritime Mobile Information System for Coastal Waters

with adaptive object model. Polish Maritime Research, 21, 14-19. 20. Zwierzewicz Z. (2013), On the ship course-keeping control system design by using robust feedback linearization, Polish Maritime Research. Volume 20, Issue 1, Pages 70-76 21. Wlodarczyk-Sielicka M., Stateczny A.: Comparison of selected reduction methods of bathymetric data obtained by multibeam echosounder. Proceedings of Baltic Geodesy Congress, Gdansk, Poland (2016), pp.73-77, IEEE, DOI: 10.1109/BGC.Geomatics.2016.22 22. Stateczny, A. and Bodus

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Modeling nonlinear road traffic networks for junction control

systems design for an individual signalised junction, Transportation Research B 18 (2): 147-167. Kachroo, P. and Ozbay, K. (1999). Feedback Control Theory for Dynamic Traffic Assignment , Springer, London. Kashani, H. and Saridis, G. (1983). Intelligent control for urban traffic systems, Automatica 19 (2): 191-197. Krozel, J. Jakobovits, R. and Penny, S. (2006). An algorithmic approach for airspace how programs, Air Traffic Control Quartelly 14 (3): 203-229. Kulcsar, B., Varga, I. and Bokor, J. (2005

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Verification Techniques for Sensitivity Analysis and Design of Controllers for Nonlinear Dynamic Systems with Uncertainties

definiteness and stability of interval matrices, SIAM Journal on Matrix Analysis and Applications   15 (1): 175-184. Rump, S. M. (2007). IntLab, Version 5.4, available at: http://www.ti3.tu-harburg.de/~rump/intlab/ Sienel, W., Bünte, T. and Ackermann, J. (1996). PARADISE—Parametric robust analysis and design interactive software environment: A Matlab-based robust control toolbox, Proceedings of the 1996 IEEE International Symposium on Computer-Aided Control System Design, Dearborn, MI, USA , pp. 380

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Robust Predictive Control of an overhead Crane

., Mohamed, Z., Abdullahi, A. M., Jaafar, H. I., Lazim, I. M., Control strategies for crane systems: A comprehensive review , Mechanical Systems and Signal Processing, Vol. 95, pp. 1-23, 2017. [16] Smoczek, J., P1-TS fuzzy scheduling control system design using local pole placement and interval analysis , Bulletin of the Polish Academy of Sciences – Technical Sciences 62 (3), pp. 455-464, 2014. [17] Su, S. W., Nguyen, H., Jarman, R., Zhu, J., Lowe, D., McLean, P., Huang, S., Nguyen, N. T., Nicholson, R., Weng, K., Model predictive control of gantry crane

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Saturating Stiffness Control of Robot Manipulators with Bounded Inputs

(ICBME), Isfahan, Iran , pp. 1–5. Deneve, A., Moughamir, S., Afilal, L. and Zaytoon, J. (2008). Control system design of a 3-DOF upper limbs rehabilitation robot, Computer Methods and Programs in Biomedicine 89 (2): 202–214. Djebrani, S., Benali, A. and Abdessemed, F. (2012). Modelling and control of an omnidirectional mobile manipulator, International Journal of Applied Mathematics and Computer Science 22 (3): 601–616, DOI: 10.2478/v10006-012-0046-1. Dulęba, I. and Opałka, M. (2013). A

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