Publications

Book Chapters

2. Khajenejad, M., Pati T. and Yong, S.Z. “Optimal Interval Observers for Bounded Jacobian Nonlinear Dynamical Systems." In Set-Valued Approaches to Control and Estimation of Uncertain Systems: Theory and Applications, Springer, to appear, 2024. 

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, pages 149–185, 2022. [pdf]

Published/Accepted Journal Publications

10. Khajenejad, M. and Yong, S.Z. “Tight Remainder-Form Decomposition Functions with Applications to Constrained Reachability and Guaranteed State Estimation.” IEEE Transactions on Automatic Control, pages 7057-7072, vol. 68, no. 12, 2023 (Impact Factor = 6.549). [pdf] 

9. Khajenejad, M. and Martinez, S. “Guaranteed Privacy of Distributed Nonconvex Optimization via Mixed-Monotone Functional Perturbations." IEEE Control Systems Letters (L-CSS), pages 1081-1086, vol. 7, 2023 (Impact Factor = 2.766, presented at ACC'23). [pdf] 

8. Jin, Z., Khajenejad, M. and Yong, S.Z. “Robust Data-Driven Control Barrier Functions for Unknown Continuous Control Affine Systems." IEEE Control Systems Letters (L-CSS), pages 1309-1314, vol. 7, 2023 (Impact Factor = 2.766, presented at ACC'23). [pdf] 

7. Khajenejad, M. and Yong, S.Z. “Simultaneous State and Unknown Input Set-Valued Observers for Quadratically Constrained Nonlinear Dynamical Systems.” International Journal of Robust and Nonlinear Control, pages 6589–6622, vol. 32, issue 12, 2022 (Impact Factor = 3.897). [pdf] 

6. Khajenejad, M. and Yong, S.Z. “H∞-Optimal Interval Observer Synthesis for Uncertain Nonlinear Dynamical Systems via Mixed-Monotone Decompositions.” IEEE Control Systems Letters (L-CSS), pages 3008–3013, vol. 6, 2022 (presented at CDC’22). [pdf] 

5. Khajenejad, M. and Yong, S.Z. “Guaranteed State Estimation via Direct Polytopic Set Computation for Nonlinear Discrete-Time Systems.” IEEE Control Systems Letters (L-CSS), pages 2060–2065, vol. 6, 2022 (presented in ACC’22). [pdf] 

4. Jin Z., Khajenejad, M. and Yong, S.Z. “Data-Driven Abstraction and Model Invalidation for Unknown Systems with Bounded Jacobian.” IEEE Control Systems Letters (L-CSS), pages 3421–3426, vol. 6, 2022 (presented at CDC’22). [pdf] 

3. Pati T., Khajenejad, M., Daddala S.P. and Yong, S.Z. “L1-Robust Interval Observer Design for Uncertain Nonlinear Dynamical Systems.” IEEE Control Systems Letters (L-CSS), pages 3475–3480, vol. 6, 2022 (presented at CDC’22). [pdf] 

2. 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, Impact Factor = 7.4). [pdf] 

1. Hassaan, S.M., Khajenejad, M., Jensen, S., Shen, Q., and Yong, S.Z. “Incremental Affine Abstraction of Nonlinear Systems.” IEEE Control Systems Letters (L-CSS), vol. 5, vo. 2, pages 653-658, 2021 (Impact Factor = 2.766). [pdf] 

Under Review Journal Publications

4. Khajenejad, M. and Martinez, S. “Guaranteed Privacy-Preserving H∞-Optimal Interval Observer Design for Bounded-Error LTI Systems.“ IEEE Control Systems Letters (L-CSS), 2024, under review.

3. Khajenejad, M., Brown, S., and Martinez, S. “Distributed Resilient Interval Observer Synthesis for Nonlinear Discrete-Time Systems.“ IEEE Transaction on Automatic Control, 2023, under review.

2. Khajenejad, M. and Yong, S.Z. “Simultaneous Mode, State and Input Set-Valued Observers for Switched Nonlinear Systems.” Automatica, 2023, under review.

1. Mandal, N., Khajenejad, M. and Martinez, S. “Distributed Task Allocation for Self-Interested Agents with Partially Unknown Rewards.“ IEEE Transaction on Automatic Control, 2023, under review.

Conference Publications

17. Khajenejad, M., Jin, Z., Dinh T.N. and Yong, S.Z. “Resilient State Estimation for Nonlinear Discrete-Time Systems via Input and State Interval Observer Synthesis.“ IEEE Conference on Decision and Control (CDC), Singapore, pages 1826-1832, 2023, (average acceptance rate: 56.7%). [pdf] 

16. Pati, T., Khajenejad, M., Daddala, S.P., Sanfelice, R.G. and Yong, S.Z. “Interval Observer Synthesis for Hybrid Dynamical Systems with Known Jump Times.“ IEEE Conference on Decision and Control (CDC), Singapore, pages 7507-7513, 2023, (average acceptance rate: 56.7%). [pdf] 

15. Brown, S., Khajenejad, M., Yong, S.Z. and Martinez, S. “Computing Controlled Invariant Sets of Nonlinear Control-Affine Systems." IEEE Conference on Decision and Control (CDC), Singapore, pages 7830-7836, 2023, (average acceptance rate: 56:7%). [pdf] 

14. Mandal, N., Khajenejad, M. and Martinez, S. “Control of Discrete-Time LTI Systems using Stochastic Ensemble Systems." SIAM Conference on Control and Applications (CT23), Philadelphia, Pennsylvania, pages 1-8, 2023. [pdf] 

13. Khajenejad, M., Brown, S., and Martinez, S. “Distributed Resilient Interval Observers for Bounded-Error LTI Systems Subject to False Data Injection Attacks." American Control Conference (ACC), San Diego, California, pages 3502-3507, 2023 (average acceptance rate: 67%). [pdf] 

12. Khajenejad, M., Brown, S., and Martinez, S. “Distributed Interval Observers for Bounded-Error LTI Systems." American Control Conference (ACC), San Diego, California, pages 2444-2449, 2023 (average acceptance rate: 67%). [pdf] 

11. Khajenejad, M., Shoaib, F. and Yong, S.Z. “Interval Observer Synthesis for Locally Lipschitz Nonlinear Dynamical Systems via Mixed-Monotone Decompositions.” American Control Conference (ACC), Atlanta, Georgia, pages 2970–2975, 2022 (average acceptance rate: 67%). [pdf] 

10. Khajenejad, M., Jin, Z., and Yong, S.Z. “Resilient Interval Observer for Simultaneous Estimation of States, Modes and Attack Policies.” American Control Conference (ACC), Atlanta, Georgia, pages. 322–329, invited paper, 2022 (average acceptance rate: 67%). [pdf] 

9. Khajenejad, M., Shoaib, F. and Yong, S.Z. “Guaranteed State Estimation via Indirect Poly-topic Set Computation for Nonlinear Discrete-Time Systems.” IEEE Conference on Decision and Control (CDC), Austin, Texas (Virtual), pages. 6167–6174, 2021 (average acceptance rate: 56.7%). [pdf] 

8. Khajenejad, M., Yong, S.Z. “Simultaneous Input and State Interval Observers for Nonlinear Systems with Rank-Deficient Direct Feedthrough.” European Control Conference (ECC), Rotterdam, The Netherlands (Virtual), pages 2311–2316, 2021 (average acceptance rate: 68%). [pdf] 

7. Khajenejad, M., Cavorsi, M., Niu, R., Shen, Q., Yong, S.Z. “Tractable Compositions of Discrete-Time Control Barrier Functions with Application to Driving Safety Control.” European Control Conference (ECC), Rotterdam, The Netherlands (Virtual), pp. 1303–1309, 2021 (average acceptance rate: 68%). [pdf] 

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 (ACC), New Orleans, LA (Virtual), pages 2848–2854, 2021 (average acceptance rate: 67%). [pdf] 

5. 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 (CDC), Jeju Island, South Korea (Virtual), pages 5443–5448, 2020 (average acceptance rate: 56.7%). [pdf] 

4. Jin, Z., Khajenejad, M. and Yong, S.Z. “Data-Driven Model Invalidation for Unknown Lipschitz Continuous Systems via Abstraction.” American Control Conference (ACC), Denver, CO (Virtual), pages 2975–2980, 2020 (average acceptance rate: 67%). [pdf] 

3. 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 (CDC), Nice, France, pages. 1544–1550, 2019 (average acceptance rate: 56.7%). [pdf] 

2. Khajenejad, M. and Yong, S.Z. “Simultaneous Input and State Set-Valued H∞-Observers For Linear Parameter-Varying Systems.” American Control Conference (ACC), Philadelphia, PA, pages 4521–4526, 2019. [pdf] 

1. Khajenejad, M., Afshinmanesh, F., Marandi, A. and Araabi, B.N. “Intelligent Particle Swarm Optimization Using Q-Learning.” Proceeding of IEEE Swarm Intelligence, pages 7–12, 2006. [pdf]