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Event–Based Feedforward Control of Linear Systems with input Time–Delay

Abstract

This paper proposes a new method for the analysis of continuous and periodic event-based state-feedback plus static feed-forward controllers that regulate linear time invariant systems with time delays. Measurable disturbances are used in both the control law and triggering condition to provide better disturbance attenuation. Asymptotic stability and L2-gain disturbance rejection problems are addressed by means of Lyapunov–Krasovskii functionals, leading to performance conditions that are expressed in terms of linear matrix inequalities. The proposed controller offers better disturbance rejection and a reduction in the number of transmissions with respect to other robust event-triggered controllers in the literature.

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The HeKatE methodology. Hybrid engineering of intelligent systems

The HeKatE methodology. Hybrid engineering of intelligent systems

This paper describes a new approach, the HeKatE methodology, to the design and development of complex rule-based systems for control and decision support. The main paradigm for rule representation, namely, eXtended Tabular Trees (XTT), ensures high density and transparency of visual knowledge representation. Contrary to traditional, flat rule-based systems, the XTT approach is focused on groups of similar rules rather than on single rules. Such groups form decision tables which are connected into a network for inference. Efficient inference is assured as only the rules necessary for achieving the goal, identified by the context of inference and partial order among tables, are fired. In the paper a new version of the language—XTT22—is presented. It is based on ALSV(FD) logic, also described in the paper. Another distinctive feature of the presented approach is a top-down design methodology based on successive refinement of the project. It starts with Attribute Relationship Diagram (ARD) development. Such a diagram represents relationships between system variables. Based on the ARD scheme, XTT tables and links between them are generated. The tables are filled with expert-provided constraints on values of the attributes. The code for rule representation is generated in a humanreadable representation called HMR and interpreted with a provided inference engine called HeaRT. A set of software tools supporting the visual design and development stages is described in brief.

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Reconfigurable control design with integration of a reference governor and reliability indicators

reliability model considering effects of maintenance and working conditions, Reliability Engineering and System Safety   64 (1): 19-31. Noura, H., Theilliol, D., Ponsart, J. and Chamssedine, A. (2009). Fault Tolerant Control Systems: Design and Practical Application , Springer, Dordrecht/Heidelberg/London. Staroswiecki, M. (2003). Actuator faults and the linear quadratic control problem, Proceedings of the 42th IEEE Conference on Decision and Control, Maui, HI, USA , pp. 959-965. Theilliol, D

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An Lmi–Based Heuristic Algorithm for Vertex Reduction in LPV Systems

). Automated generation and assessment of affine LPV models, 45th IEEE Conference on Decision and Control, San Diego, CA, USA , pp. 6690–6695. Kwiatkowski, A. and Werner, H. (2008). PCA-based parameter set mappings for LPV models with fewer parameters and less overbounding, IEEE Transactions on Control Systems Technology 16 (4): 781–788. Lofberg, J. (2004). YALMIP: A toolbox for modeling and optimization in MATLAB, IEEE International Symposium on Computer Aided Control Systems Design, New Orleans, LA, USA , pp. 284–289. López-Estrada, F.-R., Ponsart, J

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Robust observer design for Sugeno systems with incremental quadratic nonlinearity in the consequent

-feedback stabilization of a class of uncertain non-minimum phase nonlinear systems, Automatica 41(9): 1609-1615. Löfberg, J. (2004). Yalmip: A toolbox for modeling and optimization in MATLAB, IEEE International Symposium on Computer Aided Control Systems Design, Taipei, Taiwan, pp. 284-289. Lee, C. (2004). Stabilization of nonlinear non-minimum phase system: Adaptive parallel approach using recurrent fuzzy neural network, IEEE Transactions on Systems, Man and Cybernetics, Part B 34(2): 1075-1088. Manai, Y. and Benrejeb, M. (2011). New

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Actuator Fault Tolerant Control Design Based on a Reconfigurable Reference Input

., Martin P., Rouchon P. (1995). Flatness and defect of non-linear systems: Introductory theory and examples, International Journal of Control 61(6): 1327-1361. Gao Z., and P. J. Antsaklis (1991). Stability of the pseudo-inverse method for reconfigurable control systems, International Journal of Control 53(3): 717-729. Gao Z., and P. J. Antsaklis (1992). Reconfigurable control systems design via perfect model following, International Journal of Control 56(4): 783-798. Guenab F., Theilliol

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Performance evaluation based fault tolerant control with actuator saturation avoidance

, Proceedings of the 6th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS 2006, Beijing, China , pp. 1303-1308. Jiang, J. and Zhang, Y. (2002). Graceful performance degradation in active fault tolerant control systems, Proceedings of the 15th IFAC World Congress b'02, Barcelona, Spain . Jiang, J. and Zhang, Y. (2006). Accepting performance degradation in fault-tolerant control system design, IEEE Transactions on Control Systems Technology 14(2): 284

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

-499. Jiang, B., Staroswiecki, M. and Cocquempot, V. (2006). Fault accommodation for nonlinear dynamic systems, IEEE Transactions on Automatic Control 51(9): 1578-1583. Li, Y. and Lin, Z. (2013). Design of saturation-based switching anti-windup gains for the enlargement of the domain of attraction, IEEE Transactions on Automatic Control 58(7): 1810-1816. Noura, H., Theilliol, D., Ponsart, J. and Chamseddine, A. (2009). Fault-tolerant Control Systems: Design and Practical Applications, Advances in Industrial Control, Springer, Berlin

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Reliability Modeling of Fault Tolerant Control Systems

., Weber P., Zhang Y.M., and Sauter D. (2006): Fault tolerant control system design: A reconfiguration strategy based on reliability analysis under dynamic behavior constraints . Proceedings of SAFEPROCESS, Beijing, China, pp. 1387-1362. Harrison J., Daly K. and Gai E. (1981): Reliability and accuracy prediction for a redundant strapdown navigator . Journal of Guidance and Control , Vol. 4, No. 5, pp. 523-529. Jiang J. and Zhang Y.M. (2006): Accepting performance degradation in fault-tolerant control system design

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A New Fuzzy Lyapunov Approach to Non-Quadratic Stabilization of Takagi-Sugeno Fuzzy Models

. (1985): Fuzzy identification of systems and its applications to modeling and control. — IEEE Trans. Syst. Man Cybern. , Vol. SMC-15, No. 1, pp. 116-132. Tanaka K. and Sugeno M. (1992): Stability analysis and design of fuzzy control systems. — Fuzzy Sets Syst. , Vol. 45, No. 2, pp. 135-156. Tanaka K. and Wang H.O. (2001): Fuzzy Control Systems Design and Analysis. A Linear Matrix Inequalities Approach. — New York: Wiley. Tanaka K., Ikeda T. and Wang H.O. (1996): Robust stabilization

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