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Intelligent Control and Estimation of Things Laboratory

Publications

NOTE: The professor has moved to Northeastern University and the new lab website is https://szyong.sites.northeastern.edu/.

Book Chapters

  1. Khajenejad, M. and Yong, S.Z. “Resilient State Estimation and Attack Mitigation in Cyber-Physical Systems.” Security and Resilience in Cyber-Physical Systems: Detection, Estimation and Control, Springer, 2021, accepted. 
  2. Harirchi, F., Yong, S.Z. and Ozay, N. “Passive Diagnosis of Hidden-Mode Switched Affine Models with Detection Guarantees via Model Invalidation.” Diagnosis and Diagnosability of Hybrid Dynamic Systems: Challenges, Methods and Applications, Springer, 2018. [pdf]

Journal Publications

  1. Niu, R., Hassaan, S.M., Yang, L., Jin, Z. and Yong, S.Z. “Model Discrimination of Switched Nonlinear Systems with Temporal Logic-Constrained Switching.” IEEE Control Systems Letters, vol. 6, pp. 151-156, 2022.
  2. Hassaan, S.M., Shen, Q., and Yong, S.Z. “Equalized Recovery State Estimators for Linear Systems with Delayed and Missing Observations.” IEEE Control Systems Letters, vol. 6, pp. 85-90, 2022.
  3. Khajenejad, M., Jin, Z. and Yong, S.Z. “State and Unknown Terrain Estimation for Planetary Rovers via Interval Observers.” Advanced Intelligent Systems, 2100040, 2021. (Invited Paper) https://doi.org/10.1002/aisy.202100040
  4. Huang, Y., Yong, S.Z. and Chen, Y. “Safety Control of Autonomous Ground Vehicles Using Control-Dependent Barrier Functions.” IEEE Transactions on Intelligent Vehicles, vol. 6, no. 4, pp. 699-710, Dec. 2021.
  5. Jin, Z., Shen, Q., and Yong, S.Z. “Mesh-Based Piecewise Affine Abstraction with Polytopic Partitions for Nonlinear Systems.” IEEE Control Systems Letters, vol. 5, no. 5, pp. 1543–1548, 2021.
  6. Yong, S.Z., Zhu, M., and Frazzoli, E. “Simultaneous mode, input and state filtering for switched linear stochastic systems with unknown inputs.” International Journal of Robust and Nonlinear Control, 31:640–661, 2021. [arXiv]
  7. Hassaan, S.M., Khajenejad, M., Jensen, S., Shen, Q., and Yong, S.Z. “Incremental Affine Abstraction of Nonlinear Systems.” IEEE Control Systems Letters, Vol. 5, No. 2, pp. 653-658, 2021.
  8. Rutledge, K., Yong, S.Z., and Ozay, N. “Finite Horizon Constrained Control and Bounded-error Estimation in the Presence of Missing Data.” Nonlinear Analysis: Hybrid Systems, Vol. 36, pp. 100854, 2020. [pdf]
  9. Singh, P., Yong, S.Z., and Frazzoli, E. “Regulation of Linear Systems using Event-Based Detection Sensors.” IEEE Transactions on Automatic Control, vol. 64, no. 1, pp. 373-380, Jan. 2019. [pdf], [arXiv]
  10. Yong, S.Z., Zhu, M., and Frazzoli, E. “Switching and data injection attacks on stochastic cyber-physical systems: Modeling, resilient estimation and attack mitigation.” ACM Transactions on Cyber-Physical Systems, 2, 2, Article 9, 2018. [pdf],  [arXiv]
  11. Singh, P., Yong, S.Z., and Frazzoli, E. “Supermodular batch state estimation in optimal sensor scheduling.” IEEE Control Systems Letters, Vol. 1, No. 2, pp. 292-297, 2017. [pdf]
  12. Yong, S.Z., Zhu, M., and Frazzoli, E. “Simultaneous input and state estimation for linear time varying continuous-time stochastic systems.” IEEE Transactions on Automatic Control, 2017 (Impact factor: 4.270). [pdf] (Extended Version: [arXiv])
  13. Paden, B., Cap, M., Yong, S.Z., Yershov, D., Frazzoli, E. “A survey of motion planning and control techniques for self-driving urban vehicles.” IEEE Transactions on Intelligent Vehicles, vol. 1, no. 1, pp. 33-55, 2016. [pdf] (Extended Version: [arXiv])
  14. Yong, S.Z., Zhu, M., and Frazzoli, E. “A unified filter for simultaneous input and state estimation for linear discrete-time stochastic systems.” Automatica, 63:321–329, 2016 (Impact factor: 3.132). [pdf], [AudioSlides] (Extended Version: [arXiv])
  15. Sanfelice, R.G., Yong, S.Z., and Frazzoli, E. “On minimum-time paths of bounded curvature with position-dependent constraints.” Automatica, 50(2):537–546, 2014 (Impact factor: 3.132).  [pdf] (Extended Version: [arXiv])
  16. Chen, L., Yong, S.Z., and Ghoniem, A.F. “Modeling the slag behavior in three dimensional CFD simulation of a vertically-oriented oxy-coal combustor.” Fuel Processing Technology, 112:106–117, 2013 (Impact factor: 3.019). [pdf]
  17. Yong, S.Z., Gazzino, M., and Ghoniem, A.F. “Modeling the slag layer in solid fuel gasification and combustion – Two-way coupling with CFD.” Fuel, 97:457– 466, 2012 (Impact factor: 3.406). [pdf]
  18. Chen, L., Yong, S.Z., and Ghoniem, A.F. “Oxy-fuel combustion of pulverized coal: Characterization, fundamentals, stabilization and CFD modeling.” Progress in Energy and Combustion Science, 38(2):156–214, 2012 (Impact factor: 16.909; Top 25 Most Cited Paper since 2009). [pdf]
  19. Yong, S.Z., Gazzino, M., and Ghoniem, A.F. “Modeling the slag layer in solid fuel gasification and combustion – Formulation and sensitivity analysis.” Fuel, 92(1):162–170, 2012 (Impact factor: 3.406). [pdf]

Conference Publications

  1. Bhagwat, M., Jin, Z. and Yong, S.Z. “Computation-Aware Data-Driven Model Discrimination with Application to Driver Intent Identification.”  IEEE Conference on Decision and Control, 2021, accepted.
  2. Khajenejad, M., Shoaib, F. and Yong, S.Z. “Guaranteed State Estimation via Remainder- Form Decomposition Function-Based Set Inclusion for Nonlinear Discrete-Time Systems.” IEEE Conference on Decision and Control, 2021, accepted.
  3. Khajenejad, M., Cavorsi, M., Niu, R., Shen, Q. and Yong, S.Z. “Tractable Compositions of Discrete-Time Control Barrier Functions with Application to Driving Safety Control.” European Control Conference, Rotterdam, The Netherlands (Virtual), pp. 1298–1304, 2021. 
  4. Hassaan, S., Pati, T., Shen, Q. and Yong, S.Z. “Time-Varying Tube-Based Output Feedback MPC for Constrained Linear Systems with Intermittently Delayed Data.” IFAC Conference on Analysis and Design of Hybrid Systems, Brussels, Belgium (Virtual), 2021.
  5. Khajenejad, M. and Yong, S.Z. “Simultaneous Input and State Interval Observers for Nonlinear Systems with Rank-Deficient Direct Feedthrough.” European Control Conference, Rotterdam, The Netherlands (Virtual), pp. 2303–2308, 2021.
  6. Khajenejad, M., Jin, Z., and Yong, S.Z. “Interval observers for simultaneous state and model estimation of partially known nonlinear systems.” American Control Conference, New Orleans, LA  (Virtual), pp. 2842–2848, 2021.
  7. Hassaan, S.M., Shen, Q. and Yong, S.Z. “Path-Dependent Controller and Estimator Synthesis with Robustness to Delayed and Missing Data.” International Conference on Hybrid Systems: Computation and Control, Nashville, TN  (Virtual), vol. 22, pp. 1-11, 2021.
  8. Khajenejad, M. and Yong, S.Z. “Simultaneous Input and State Interval Observers for Nonlinear Systems with Full-Rank Direct Feedthrough.” IEEE Conference on Decision and Control, Jeju Island, South Korea  (Virtual), pp. 5443–5448, 2020.
  9. Jin, Z., Khajenejad, M., and Yong, S.Z. “Data-Driven Model Invalidation for Unknown Lipschitz Continuous Systems via Abstraction.” American Control Conference, pp. 2975–2980, 2020. [pdf]
  10. Shen, Q. and Yong, S.Z. “Active Model Discrimination using Partition-Based Output Feedback Input Design.” European Control Conference, pp. 712–717, 2020. [pdf]
  11. Jin, Z., Shen Q. and Yong, S.Z. “Optimization-Based Approaches for Affine Abstraction and Model Discrimination of Uncertain Nonlinear Systems.” IEEE Conference on Decision and Control, Nice, France, pp. 7976–7981, 2019. [pdf]
  12. Khajenejad, M. and Yong, S.Z. “Simultaneous Mode, Input and State Set-Valued Observers with Applications to Resilient Estimation against Sparse Attacks.” IEEE Conference on Decision and Control, Nice, France, pp. 1544–1550, 2019. [pdf]
  13. Sahin, Y.E., Liu, Z., Rutledge, K., Panagou, D., Yong, S.Z. and Ozay, N. “Intention-Aware Supervisory Control with Driving Safety Applications.” IEEE Conference on Control Technology and Applications, pp. 1-8, 2019. [pdf]
  14. Shen, Q. and Yong, S.Z. “Robust Optimization-Based Affine Abstractions for Uncertain Affine Dynamics.” American Control Conference, Philadelphia, PA, pp. 2452–2457, 2019. [pdf]
  15. Khajenejad, M. and Yong, S.Z. “Simultaneous Input and State Set-Valued H∞-Observers For Linear Parameter-Varying Systems.” American Control Conference, Philadelphia, PA, pp. 4521– 4526, 2019. [pdf]
  16. Hassaan, S.M., Shen, Q. and Yong, S.Z. “Bounded-Error Estimator Design with Missing Data Patterns via State Augmentation.” American Control Conference, Philadelphia, PA, pp. 447– 452, 2019. [pdf]
  17. Rutledge, K., Yong, S.Z. and Ozay, N. “Prefix-based Bounded-error Estimation with Intermittent Observations.” American Control Conference, Philadelphia, PA, pp. 4320–4325, 2019. [pdf]
  18. Huang, Y., Yong, S.Z. and Chen, Y. “Guaranteed Vehicle Safety Control Using Control-Dependent Barrier Functions.” American Control Conference, Philadelphia, PA, pp. 983–988, 2019. [pdf]
  19. Niu, R., Shen, Q. and Yong, S.Z. “Partition-Based Parametric Active Model Discrimination Design with Applications to Driver Intention Estimation.” European Control Conference, Naples, Italy, pp. 3880–3885, 2019. [pdf]
  20. Chipade, V.S., Shen, Q., Huang, L., Ozay, N., Yong, S.Z., Panagou, D. “Safe Autonomous Overtaking with Intention Estimation.” European Control Conference, Naples, Italy, pp. 2050-2057, 2019. [pdf]
  21. Rutledge, K., Yong, S.Z., and Ozay, N. “Equalized recovery: Weakening invariance for control and estimation.” ACM International Conference on Hybrid Systems: Computation and Control, Montreal, Canada, pp. 276–277, 2019 (abstract).
  22. Singh, K., Shen, Q. and Yong, S.Z. “Mesh-Based Affine Abstraction of Nonlinear Systems with Tighter Bounds.” IEEE Conference on Decision and Control, Miami, Florida, pp. 3056-3061, 2018. [pdf] [code]
  23. Singh, K., Ding, Y., Ozay, N. and Yong, S.Z. Input Design for Nonlinear Model Discrimination via Affine Abstraction. IFAC-PapersOnLine, 51(16), pp.175-180, 2018. [pdf]
  24. Rutledge, K.J., Yong, S.Z., and Ozay, N. Optimization-Based Design of Bounded-Error Estimators Robust to Missing Data. IFAC-PapersOnLine, 51(16), pp.157-162, 2018. [pdf]
  25. Ding, Y., Harirchi, F., Yong, S.Z., Jacobsen, E., and Ozay, N. “Optimal input design for affine model discrimination with applications in intention-aware vehicles.” ACM/IEEE International Conference on Cyber-Physical Systems, Porto, Portugal, 2018. [pdf] [code] [YouTube]
  26. Yong, S.Z. and Ozay, N. “Discrete state estimation with persistent sensor faults and non- persistent noise via noisy Bayesian active diagnosis.” IEEE American Control Conference, Milwaukee, WI, 2018. [pdf]
  27. Yong, S.Z. “Simultaneous input and state set-valued observers with applications to attack- resilient estimation.” IEEE American Control Conference, Milwaukee, WI, 2018. [pdf]
  28. Harirchi, F.,  Yong, S.Z., and Ozay, N. “Guaranteed fault detection and isolation for switched affine models.” IEEE Conference on Decision and Control, Melbourne, Australia, 2017. [pdf]
  29. Harirchi, F., Yong, S.Z., Jacobsen, E., and Ozay, N. “Active Model Discrimination with Applications to Fraud Detection in Smart Buildings.” IFAC World Congress, Toulouse, France, 2017. [pdf]
  30. Yong, S.Z., Gao, L. and Ozay, N. “Weak adaptive submodularity and group-based active diagnosis with applications to state estimation with persistent sensor faults.” IEEE American Control Conference, Seattle, WA, May 2017. [pdf] [arXiv]
  31. Singh, P., Yong, S.Z., and Frazzoli, E. “Stabilization of stochastic linear continuous-time systems using noisy neuromorphic vision sensors.” IEEE American Control Conference, Seattle, WA, May 2017. [pdf]
  32. Yong, S.Z., and Frazzoli, E. “Adaptive hidden mode tracking control with input constraints and bounded disturbances.” IEEE Conference on Decision and Control, Las Vegas, NV, pp. 1235-1242, Dec 2016. [pdf]
  33. Singh, P., Yong, S.Z., Gregoire, J., Censi, A., and Frazzoli, E. “Stabilization of linear continuous-time systems using neuromorphic vision sensors.” IEEE Conference on Decision and Control, Las Vegas, NV, pp.3030-3036, Dec 2016. [pdf]
  34. Yong, S.Z., Foo, M.Q., and Frazzoli, E. “Robust and resilient estimation for cyber-physical systems under adversarial attacks.” IEEE American Control Conference, Boston, MA, pp. 308-315, Jul 2016. [pdf]
  35. Yong, S.Z., Zhu, M., and Frazzoli, E. “Simultaneous input and state estimation of linear discrete-time stochastic systems with input aggregate information.” IEEE Conference on Decision and Control, Osaka, Japan, pp. 461-467, Dec 2015. [pdf]
  36. Yong, S.Z., Zhu, M., and Frazzoli, E. “Simultaneous input and state estimation with a delay.”  IEEE Conference on Decision and Control, Osaka, Japan, pp. 468-475, Dec 2015. [pdf]
  37. Yong, S.Z., Zhu, M., and Frazzoli, E. “Resilient state estimation against switching attacks on stochastic cyber-physical systems.” IEEE Conference on Decision and Control, Osaka, Japan, pp. 5162-5169, Dec 2015. [pdf]
  38. Yong, S.Z., Zhu, M., and Frazzoli, E. “Simultaneous input and state estimation for linear time-invariant continuous-time stochastic systems with unknown inputs.” IEEE American Control Conference, Chicago, IL, pp. 2511-2518, Jul 2015.  [pdf]
  39. Yong, S.Z., Paden, B., and Frazzoli, E. “Computational methods for MIMO flat linear systems: flat output characterization, test and tracking control.” IEEE American Control Conference, Chicago, IL, pp. 3898-3904, Jul 2015. [pdf]
  40. Paden, B., Yong, S.Z., and Frazzoli, E. “Asymptotically reachable states and related symmetry in systems theory.” IEEE American Control Conference, Chicago, IL, pp. 2856-2861, Jul 2015. [pdf]
  41. Yong, S.Z., Zhu, M., and Frazzoli, E. “Generalized innovation and inference algorithms for hidden mode switched linear stochastic systems with unknown inputs.” IEEE Conference on Decision and Control, Los Angeles, CA, pp. 3388-3394, Dec 2014. [pdf]
  42. Yong, S.Z., Zhu, M., and Frazzoli, E. “Simultaneous input and state smoothing for linear discrete-time stochastic systems with unknown inputs.” IEEE Conference on Decision and Control, Los Angeles, CA, pp. 4204-4209, Dec 2014. [pdf]
  43. Yong, S.Z., and Frazzoli, E. “Asymptotic adaptive tracking with input amplitude and rate constraints and bounded disturbances.” IEEE Conference on Decision and Control, Los Angeles, CA, pp. 1256-1263, Dec 2014.  [pdf]
  44. Yong, S.Z., Zhu, M., and Frazzoli, E. “Simultaneous input and state estimation for linear discrete-time stochastic systems with direct feedthrough.” IEEE Conference on Decision and Control, Florence, Italy, pp. 7034–7039, Dec 2013.  [pdf]
  45. Mueller, E., Yong, S.Z., Zhu, M., and Frazzoli, E. “Anytime computation algorithms for stochastically parametric approach-evasion differential games.” IEEE /RSJ International Conference on Intelligent Robots and Systems, Tokyo, Japan, pp. 3816-3821, Nov 2013. [pdf]
  46. Yong, S.Z., and Frazzoli, E. “Hidden mode tracking control for a class of hybrid systems.” IEEE American Control Conference, Washington, DC, pp. 5735–5741, Jun 2013. [pdf]
  47. Yong, S.Z., Gazzino, M., and Ghoniem, A.F. “Multiphase models of slag layer built-up in solid fuel gasification and combustion.” International Technical Conference on Clean Coal and Fuel Systems, Clearwater, FL, No. 35 PT 1-2 2010; 2; 1208–1218, Jun 2010.

Theses

  1. Yong, S.Z. “Control and Estimation of Hidden Mode Hybrid Systems with Applications to Autonomous Systems”. Ph.D. thesis, MIT, 2016. Advisor: Prof. Emilio Frazzoli. [DSpace] [pdf]
  2. Yong, S.Z. “Multiphase models of slag layer built-up in solid fuel gasification and combustion”. S.M. thesis, MIT, 2010. Advisor: Prof. Ahmed Ghoniem. [DSpace]
  3. Yong, S.Z. “Fehlertolerante Regelung eines Diesel-Luftsystems” [Fault tolerant control of a diesel engine air system]. Diplomarbeit [Undergraduate thesis], Hochschule Esslingen [Esslingen University of Applied Sciences], Germany, 2008. Advisor: Prof. Dipl.-Ing. Matthias Oberhauser, Industrial advisor: Dr.-Ing. Rainer Nitsche (Robert Bosch GmbH, Schwieberdingen, Germany).