Degradation Tolerant Optimal Control Design for Stochastic Linear Systems
References
- Åström, K.J. and Wittenmark, B. (1995). Adaptive Control, Dover Publications, Mineola.
- Athans, M. (1971). The role and use of the stochastic linear-quadratic-Gaussian problem in control system design, IEEE Transactions on Automatic Control 16(6): 529–552.
- Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M. and Schröder, J. (2006). Diagnosis and Fault-Tolerant Control, Vol. 2, Springer, Berlin.
- Bole, B.M., Brown, D.W., Pei, H.-L., Goebel, K., Tang, L. and Vachtsevanos, G. (2010). Fault adaptive control of overactuated systems using prognostic estimation, Annual Conference of the PHM Society, Portland, USA, Vol. 2.
- Bressel, M., Hilairet, M., Hissel, D. and Bouamama, B.O. (2016). Extended Kalman filter for prognostic of proton exchange membrane fuel cell, Applied Energy 164: 220–227.
- Brown, D., Bole, B. and Vachtsevanos, G. (2010). A prognostics enhanced reconfigurable control architecture, 18th Mediterranean Conference on Control and Automation, MED’10, Marrakech, Morocco, pp. 1061–1066.
- Brown, D.W., Georgoulas, G., Bole, B., Pei, H.-L., Orchard, M., Tang, L., Saha, B., Saxena, A., Goebel, K. and Vachtsevanos, G. (2021). Prognostics enhanced reconfigurable control of electro-mechanical actuators, Annual Conference of the PHM Society, Nashville, USA.
- Durrant-Whyte, H.F. (2006). Introduction to estimation and the Kalman filter, Australian Centre for Field Robotics, Sydney, https://www.dynsyslab.org/archive/RecEst2010/www.idsc.ethz.ch/Courses/Archives/Recursive_Estimation/recursive_filtering_2010/EstimationNotes.pdf.
- Félix, M.S., Martinez, J.J., Bérenguer, C. and Tidriri, K. (2022). Degradation analysis in a controlled flexible drive train subject to torsional phenomena under different wind speed conditions, 2022 10th International Conference on Systems and Control (ICSC), Marseille, France, pp. 90–95.
- Hamdi, H., Rodrigues, M., Rabaoui, B. and Benhadji Braiek, N. (2021). A fault estimation and fault-tolerant control based sliding mode observer for LPV descriptor systems with time delay, International Journal of Applied Mathematics and Computer Science 31(2): 247–258, DOI: 10.34768/amcs-2021-0017.
- Jha, M.S., Bressel, M., Ould-Bouamama, B. and Dauphin-Tanguy, G. (2016). Particle filter based hybrid prognostics of proton exchange membrane fuel cell in bond graph framework, Computers & Chemical Engineering 95: 216–230.
- Kanso, S., Jha, M.S., Galeotta, M. and Theilliol, D. (2022). Remaining useful life prediction with uncertainty quantification of liquid propulsion rocket engine combustion chamber, IFAC-PapersOnLine 55(6): 96–101.
- Kanso, S., Jha, M.S. and Theilliol, D. (2023). Degradation tolerant optimal control design for linear discrete-times systems, International Conference on Diagnostics of Processes and Systems, Chmielno, Poland, pp. 398–409.
- Knight, J.C. (2002). Safety critical systems: Challenges and directions, Proceedings of the 24th International Conference on Software Engineering, Orlando, USA, pp. 547–550.
- Lewis, F.L., Vrabie, D. and Syrmos, V.L. (2012). Optimal Control, Wiley, Hoboken.
- Lipiec, B., Mrugalski, M., Witczak, M. and Stetter, R. (2022). Towards a health-aware fault tolerant control of complex systems: A vehicle fleet case, International Journal of Applied Mathematics and Computer Science 32(4): 619–634, DOI: 10.34768/amcs-2022-0043.
- Noura, H., Theilliol, D., Ponsart, J.-C. and Chamseddine, A. (2009). Fault-Tolerant Control Systems: Design and Practical Applications, Springer, Berlin.
- Obando, D.R., Martinez, J.J. and Bérenguer, C. (2021). Deterioration estimation for predicting and controlling RUL of a friction drive system, ISA Transactions 113: 97–110.
- Pour, F.K., Theilliol, D., Puig, V. and Cembrano, G. (2021). Health-aware control design based on remaining useful life estimation for autonomous racing vehicle, ISA Transactions 113: 196–209.
- Rodriguez, D.J., Martinez, J.J. and Berenguer, C. (2018). An architecture for controlling the remaining useful lifetime of a friction drive system, IFAC-PapersOnLine 51(24): 861–866.
- Salazar, J.C., Weber, P., Nejjari, F., Sarrate, R. and Theilliol, D. (2017). System reliability aware model predictive control framework, Reliability Engineering and System Safety 167: 663–672.
- Söderström, T. (2002). Discrete-Time Stochastic Systems: Estimation and Control, Springer, Berlin.
- Stengel, R.F. (1986). Optimal Control and Estimation, Dover Publications, Mineola.
- Zhang, Z., Yang, Z., Liu, S., Chen, S. and Zhang, X. (2022). A multi-model based adaptive reconfiguration control scheme for an electro-hydraulic position servo system, International Journal of Applied Mathematics and Computer Science 32(2): 185–196, DOI: 10.34768/amcs-2022-0014.
Language: English
Page range: 5 - 14
Submitted on: Jan 30, 2023
Accepted on: Sep 24, 2023
Published on: Mar 26, 2024
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Related subjects:
© 2024 Soha Kanso, Mayank Shekhar Jha, Didier Theilliol, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.