Journal papers

Thorpe, Adam J., Kendric R. Ortiz, and Meeko MK Oishi. “Data-Driven Stochastic Reachability Using Hilbert Space Embeddings.” in Automatica 2021, accepted.

Abraham P. Vinod, Meeko M. K. Oishi, “Probabilistic Occupancy Function and Sets Using Forward Stochastic Reachability for Rigid-Body Dynamic Obstacles,”IEEE Transactions on Automatic Control, to appear.

Joseph D. Gleason, Abraham P. Vinod, Meeko M. K. Oishi, “Lagrangian Approximations for Stochastic Reachability of a Target Tube,” Automatica, vol. 128, June 2021, article 109546.

A. Vinod and M. Oishi, “Stochastic reachability of a target tube: Theory and computation,” Automatica, vol. 125, March 2021, article 109458.

Abraham P. Vinod, Adam J. Thorpe, Philip A. Olaniyi, Tyler H. Summers, Meeko M. K. Oishi, “Sensor Selection for Dynamics-Driven User-Interface Design,” IEEE Transactions on Control Systems Technology, February 2021, p. 1 – 14.

Jiawei Yin, Agung Julius, John T. Wen, Meeko M. K. Oishi and Lee K. Brown, Actigraphy-based parameter tuning process for adaptive notch filter and circadian phase shift estimation,” Chronobiology International: The Journal of Biological and Medical Rhythm Research, August 2020.

Vignesh Sivaramakrishnan and Meeko M. K. Oishi, Fast, Convexified Stochastic Optimal Open-Loop Control for Linear Systems Using Empirical Characteristic Functions,” IEEE Control Systems Letters, vol. 4, no. 4, October 2020, p. 1048 – 1053.

A.J. Thorpe, Meeko M. K. Oishi, Model-Free Stochastic Reachability Using Kernel Distribution Embeddings,” IEEE Control Systems Letters, vol. 4, no. 2, April 2020, p. 512-517.

Joseph D. Gleason, Meeko M. K. Oishi, John T. Wen, Agung Julius, Suguna Pappu, and Howard Yonas, “Assessing circadian rhythms and entrainment via intracranial temperature after severe head trauma,” Biomedical Signal Processing and Control, vol. 54, September 2019.

M. H. Toufiq Imam, Joseph Gleason, Sandipan Mishra, and Meeko Oishi, “Estimation of solar heat gain using illumination sensor measurements,” Solar Energy, vol. 174, November 2018, p. 296–304.

Nick Malone, Hao-Tien Chiang, Kendra Lesser, Meeko Oishi, Lydia Tapia, “Hybrid Dynamic Moving Obstacle Avoidance Using a Stochastic Reachable Set-Based Potential Field,” IEEE Transactions on Robotics, vol. 33, no. 5, October 2017, p. 1124-1138.

Abraham P. Vinod and Meeko Oishi, “Scalable Underapproximation for the Stochastic Reach-Avoid Problem for High-Dimensional LTI Systems Using Fourier Transforms,” IEEE Control Systems Letters, vol. 1, no. 2, June 2017, p. 316-321.

M. Oishi, C. Tomlin, and D. Tilbury, “Special section on human-centered automation,” IEEE Transactions on Automation Science and Engineering, Guest editorial, vol. 13, no. 1, January 2016, p. 4-6.

T. Hammond, N. Eskandari, and M. Oishi, “Observability of user-interfaces for hybrid LTI systems under collaborative control: Application to aircraft flight management systems,” IEEE Transactions on Automation Science and Engineering, vol. 13, no. 1, January 2016, p. 78-84.

K. Lesser and M. Oishi, “Approximate Safety Verification and Control of Partially Observable Stochastic Hybrid Systems,” IEEE Transactions on Automatic Control, vol. 62, no. 1, pp. 81–96, 2017.

S. Kaynama, I.M. Mitchell, M. Oishi, G. Dumont, “Scalable Safety-Preserving Robust Control Synthesis for Continuous-Time Linear Systems,” IEEE Transactions on Automatic Control, vol. 60, no. 11, p. 3065-3070, March 2015.

S. Lee, D. Kim, D. Svenkeson, G. Parras, M. Oishi, M.J. McKeown, “Multifaceted Effects of Noisy Galvanic Vestibular Stimulation on Manual Tracking Behavior in Parkinson’s Disease,” Frontiers in Systems Neuroscience, vol. 9, p. 1-5, February 2015.

K. Lesser and M. Oishi, “Reachability for Partially Observable Discrete Time Stochastic Hybrid Systems,” Automatica, vol. 50, no. 8, p. 1989-1998, August 2014.

D. Svenkeson, B. Sena, M. Oishi, S. Pappu, H. Yonas, “A Novel Use of Transfer Function Estimation for Early Assessment of Brain Injury Outcome,” IEEE Transactions on Biomedical Engieering, vol. 61, no. 9, p. 2413-2421, April 2014.

J. Stevenson, C. Lee, B.S. Lee, P. Talebifard, E. Ty, K. Aseeva, M. Oishi, and M.J. McKeown, “Excessive sensitivity to uncertain visual input in L-dopa induced dyskinesias in Parkinson’s disease: further implications for cerebellar involvement,” Frontiers in Movement Disorders, vol. 5, no. 8, p. 1-13, February 2014.

S. Kaynama and M. Oishi, “A modified Riccati transformation for decentralized computation of the viability kernel under LTI dynamics,” IEEE Transactions on Automatic Control, vol. 58, no. 11, p. 2878-2892, November 2013.

I. Mitchell, S. Kaynama, M. Chen, and M. Oishi, “Safety preserving control synthesis for sampled data systems,” Nonlinear Analysis: Hybrid Systems, vol. 10, p. 63-82, November 2013.

J. Maidens, S. Kaynama, I. Mitchell, M. Oishi, and G. Dumont, “Lagrangian methods for computing the viability kernel in high-dimensional systems,” Automatica, vol. 49, no. 7, p. 2017-2029, July 2013.

N. Baradaran, S. N. Tan, A. Liu, A. Ashoori, S. Palmer, Z. J. Wang, M. Oishi, M. J. McKeown, “Parkinson’s disease rigidity: relation to brain connectivity and motor performance,” Frontiers in Movement Disorders, vol. 4, no. 67, p. 1-9, June 2013.

A. Ashoori, M. J. McKeown, and M. Oishi, “Switched manual pursuit tracking tasks to measure motor performance in Parkinson’s disease,” IET Control Theory and Applications, vol. 5, no. 17, p. 1970-1977, November 2011.

J. K. R. Stevenson, P. TalebiFard, E. Ty, M. Oishi, and M. J. McKeown, “Dyskinetic Parkinson’s disease patients demonstrate motor abnormalities off medication,” Experimental Brain Research, vol. 214, no. 3, p. 471-479, October 2011.

M. Oishi, P. TalebiFard, and M. J. McKeown, “Assessing manual pursuit tracking in Parkinson’s disease via linear dynamical systems,” Annals of Biomedical Engineering, vol. 39, no. 8, p. 2263-2273, August 2011.

M. Oishi, N. Matni, A. Ashoori, and M. J. McKeown, “Switching restrictions for stability despite switching delay: Application to switched tracking tasks in Parkinson’s disease,” Journal of Nonlinear Systems and Applications, Special issue on hybrid systems, vol. 2, no. 1-2, p. 16-25, 2011.

J. K. R. Stevenson, M. Oishi, S. Farajian, E. Cretu, E. Ty, and M. J. McKeown, “Response to sensory uncertainty in Parkinson’s disease: A marker of cerebellar dysfunction?European Journal for Neuroscience, vol. 83, no. 2, p. 298-305, February 2011.

S. Kaynama and M. Oishi, “Complexity reduction through a Schur-based decomposition for reachability analysis of linear time-invariant systems,” International Journal of Control, vol. 84, no. 1, p. 165-179, January 2011.

W. Au, N. Li, M. Oishi, and M. J. McKeown, “L-dopa induces underdamped motor responses in Parkinson’s disease,” Experimental Brain Research, vol. 202, no.3, p.553-559, May 2010.

M. Oishi, I. Mitchell, A. Bayen, and C. Tomlin, “Hybrid system verification: Application to user-interface design,” IEEE Transactions on Control Systems Technology, p. 229-244, Vol. 16, No. 2, March 2008.

A. Bayen, I. Mitchell, M. Oishi, and C. Tomlin, “Aircraft autolander safety analysis through optimal control-based reach set computation,” AIAA Journal of Guidance, Dynamics, and Control, p. 68-77, January 2007.

J. Roughgarden, M. Oishi, and E. Ackay, “Reproductive social behavior: Cooperative games to replace sexual selection,” Science, p. 965-968, February 17, 2006.

Response in: J. Roughgarden, E. Ackay, and M. Oishi, “Debating sexual selection and mating strategies,” Science, p. 689-697, May 5 2006.

C. Tomlin, I. Mitchell, A. Bayen and M. Oishi, “Computational techniques for the verification and control of hybrid systems,” Proceedings of the IEEE, p. 986-1001, July 2003.