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Symbolic models for nonlinear control systems affected by disturbances.

G. Pola, and P. Tabuada. CDC, page 251-256. IEEE, (2008)

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Preliminary results on correct-by-construction control software synthesis for adaptive cruise control.P. Nilsson, O. Hussien, Y. Chen, A. Balkan, M. Rungger, A. Ames, J. Grizzle, N. Ozay, H. Peng, and P. Tabuada. CDC, page 816-823. IEEE, (2014)Supervisory Control of Discrete-event Systems under Attacks.M. Wakaiki, P. Tabuada, and J. Hespanha. CoRR, (2017)Secure State Estimation against Sensor Attacks in the Presence of Noise.S. Mishra, Y. Shoukry, N. Karamchandani, S. Diggavi, and P. Tabuada. CoRR, (2015)Secure State Estimation Under Sensor Attacks: A Satisfiability Modulo Theory Approach.Y. Shoukry, P. Nuzzo, A. Puggelli, A. Sangiovanni-Vincentelli, S. Seshia, and P. Tabuada. CoRR, (2014)Bisimilar control affine systems.P. Tabuada, and G. Pappas. Systems & Control Letters, 52 (1): 49-58 (2004)Approximate reduction of dynamic systems.P. Tabuada, A. Ames, A. Julius, and G. Pappas. Systems & Control Letters, 57 (7): 538-545 (2008)Evrostos: the rLTL verifier.T. Anevlavis, D. Neider, M. Phillipe, and P. Tabuada. HSCC, page 218-223. ACM, (2019)Model Checking LTL over Controllable Linear Systems Is Decidable.P. Tabuada, and G. Pappas. HSCC, volume 2623 of Lecture Notes in Computer Science, page 498-513. Springer, (2003)Underminer: a framework for automatically identifying non-converging behaviors in black box system models.A. Balkan, P. Tabuada, J. Deshmukh, X. Jin, and J. Kapinski. EMSOFT, page 7:1-7:10. ACM, (2016)Privacy-aware quadratic optimization using partially homomorphic encryption.Y. Shoukry, K. Gatsis, A. Al-Anwar, G. Pappas, S. Seshia, M. Srivastava, and P. Tabuada. CDC, page 5053-5058. IEEE, (2016)

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Symbolic models for nonlinear control systems affected by disturbances.

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PUMA

Disambiguation of "Tabuada, Paulo"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Symbolic models for nonlinear control systems affected by disturbances.

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Symbolic models for nonlinear control systems affected by disturbances.