Effect of Soft Errors in Iterative Learning Control and Compensation using Cross-layer Approach

  • Gu-Min Jeong Kookmin University
  • Kyoungwoo Lee Yonsei University
  • Sang-Il Choi Dankook University
  • Sang-Hoon Ji KITECH
  • Nikil Dutt UC Irvine

Abstract

In this paper, we study the effects of radiation-induced soft errors in iterative learning control(ILC) and present the compensation techniques to make the ILC systems robust against soft errors. Soft errors are transient faults, which occur temporarily in memories where the energetic particles strike the sensitive region in the transistors mainly under abnormal conditions such as high radiation, high temperature, and high pressure. These soft errors can cause bit value changes without any notification to the controller, affect the stability of the system, and result in catastrophic consequences. First, we investigate and analyze the effects of soft errors in the ILC systems. Our analytical study shows that when a single soft error occurs in the output data from the ILC, the performance of the learning control is significantly degraded. Second, we propose novel learning methods by incorporating the existing techniques across the system abstraction levels in the ILC to compensate for soft-error-induced incorrect output. The occurrence of soft errors is estimated by using a monotonic convergence of the erroneous outputs in a cross-layer manner, and our proposed methods can significantly reduce these negative impacts on the system performance. Under the assumption of soft error occurrence, our analytic study has proved the convergence of the proposed methods in the ILC systems and our simulation results show the effectiveness of the proposed methods to efficiently reduce the impacts of soft-error-induced outputs in the ILC systems.

References

[1] Ahn, H.-S.; Chen, Y.; Moore, K. L. (2007). Iterative Learning Control: Brief Survey and Categorization, IEEE Trans. Syst., Man and Cybern., Part C, 37(6), 1099-1121, 2007.
https://doi.org/10.1109/TSMCC.2007.905759

[2] Arimoto, S.; Kawamura, S.; Miyazaki, F. (1984). Bettering operation of robots by learning, J. Robotic Systems, 1(2), 123-140, 1984.
https://doi.org/10.1002/rob.4620010203

[3] Azizimazreah, A., et al. (2018). Tolerating soft errors in deep learning accelerators with reliable on-chip memory designs, 2018 IEEE International Conference on Networking, Architecture and Storage (NAS), 1-10, 2018.
https://doi.org/10.1109/NAS.2018.8515692

[4] Baumann, R. (2005). Soft errors in advanced computer systems, Design & Test of Computers, 22(3), 258-266, 2005.
https://doi.org/10.1109/MDT.2005.69

[5] Bien, Z.; Xu, J.-X. (1998). Iterative Learning Control Analysis, Design, Integration and Applications, Kluwer Academic Publishers, 1998.
https://doi.org/10.1007/978-1-4615-5629-9

[6] IEEE Computer Society, IEEE Standard for Floating-Point Arithmetic(IEEE Std 754), IEEE, 2008.

[7] Jeong, G.-M.; Choi, C.-H. (2002). Iterative learning control for linear discrete time nonminimum phase systems, Automatica, 38(2), 287-291, 2002.
https://doi.org/10.1016/S0005-1098(01)00197-2

[8] Jeong, G.-M., et al. (2016). Robust face recognition against soft-errors using a cross-layer approach, International Journal of Computers Communications & Control, 11(5), 657-665, 2016.
https://doi.org/10.15837/ijccc.2016.5.2020

[9] Jeong, G.-M.; Ji, S.-H. (2017). Learning speed enhancement of iterative learning control with advanced output data based on parameter estimation, International Journal of Computers Communications & Control, 12(3), 323-329, 2017.
https://doi.org/10.15837/ijccc.2017.3.2439

[10] Khudia,D. S.; Wright, G.; Mahlke, S. (2012). Efficient soft error protection for commodity embedded microprocessors using profile information, In the 13th ACM SIGPLAN/SIGBED International Conference on Languages, Compilers, Tools and Theory for Embedded Systems (LCTES '12), 99-108, 2012.
https://doi.org/10.1145/2248418.2248433

[11] Lee, K., et al. (2006). Mitigating soft error failures for multimedia applications by selective data protection, Proceedings of the 2006 international conference on Compilers, architecture and synthesis for embedded systems, 411-420, 2006.
https://doi.org/10.1145/1176760.1176810

[12] Lee, K., et al. (2008). Mitigating the impact of hardware defects on multimedia applications: a cross-layer approach, In: Proceedings of the 16th ACM international conference on Multimedia, 319-328, 2008.
https://doi.org/10.1145/1459359.1459402

[13] Lee, K., et al. (2007). Partially protected caches to reduce failures due to soft errors in multimedia applications, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 17(9), 1343-1347, 2007.
https://doi.org/10.1109/TVLSI.2008.2002427

[14] Lyons, D. (2000). Sun screen: Soft error issue in sun enterprise servers, Forbes, 2000.

[15] Michalak, S. E., et al.(2005). Predicting the number of fatal soft errors in los alamos national laboratory's ASC Q supercomputer, IEEE Transactions on Device and Materials Reliability, 5(3), 329-335, 2005.
https://doi.org/10.1109/TDMR.2005.855685

[16] Moore, K. L.; Chen, Y.; Bahl, V. (2005). Monotonocally convergent iterative learning control for linear discret time systems, Automatica, 41(1), 1529-1537, 2005.
https://doi.org/10.1016/j.automatica.2005.01.019

[17] Mukherjee, S. (2008). Architecture Design for Soft Errors, Morgan Kaufmann Publishers Inc., 2008.

[18] Nakka, N.; Pattabiraman, K.; Iyer, R. (2007). Processor-Level Selective Replication, In: Proceedings of the 37th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 544-553, 2007.
https://doi.org/10.1109/DSN.2007.75

[19] Tremblay, M.; Tami, Y. (1989). Support for fault tolerance in VLSI processors, IEEE International Symposium on Circuits and Systems, 388-392, 1989.

[20] Uchiyama, M. (1978). Formulation of high-speed motion pattern of mechanical arm by trial, Trans. Soc. Instrum. and Contr. Eng. (in Japanese), 14(6), 706-712, 1978.
https://doi.org/10.9746/sicetr1965.14.706

[21] Vera, X., et al. (2009). Selective replication: A lightweight technique for soft errors, ACM Transactions on Computer Systems, 27(4), 1-30, 2009.
https://doi.org/10.1145/1658357.1658359

[22] Wang, N. J.; Quek, J.; Rafacz, T.; Patel, S. (2004). Characterizing the effects of transient faults on a high-performance processor pipeline, 2004 Intl. Conf. on Dependable Systems and Networks, 61-70, 2004.
https://doi.org/10.1109/DSN.2004.1311877
Published
2019-05-31
How to Cite
JEONG, Gu-Min et al. Effect of Soft Errors in Iterative Learning Control and Compensation using Cross-layer Approach. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 14, n. 3, p. 359-374, may 2019. ISSN 1841-9844. Available at: <http://univagora.ro/jour/index.php/ijccc/article/view/3513>. Date accessed: 05 july 2020. doi: https://doi.org/10.15837/ijccc.2019.3.3513.

Keywords

Soft error, iterative learning control, compensation