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A. Agung Julius

Anak Agung Julius – Agung Julius

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affiliation: Rensselaer Polytechnic Institute, Light Enabled Systems and Application, Troy, NY, USA

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Journal Articles

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2022
[j30]
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Ruixuan Yan, A. Agung Julius:
Interpretable seizure detection with signal temporal logic neural network. Biomed. Signal Process. Control. 78: 103998 (2022)
[j29]
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Nasim Baharisangari, Kazuma Hirota, Ruixuan Yan, Agung Julius, Zhe Xu:
Weighted Graph-Based Signal Temporal Logic Inference Using Neural Networks. IEEE Control. Syst. Lett. 6: 2096-2101 (2022)
[j28]
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Neelanga Thelasingha, A. Agung Julius, Min Jun Kim:
Ensemble control of spatial variance of microbot systems through sequencing of motion primitives from optimal control trajectories. Intell. Serv. Robotics 15(2): 215-230 (2022)
[j27]
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Ruixuan Yan, Agung Julius:
Distributed Consensus-Based Online Monitoring of Robot Swarms With Temporal Logic Specifications. IEEE Robotics Autom. Lett. 7(4): 9413-9420 (2022)
2021
[j26]
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Jiawei Yin, A. Agung Julius, John T. Wen, John P. Hanifin, Benjamin Warfield, George C. Brainard:
Automatic sleeping time estimation and mild traumatic brain injury (mTBI) detection using actigraphy data. Biomed. Signal Process. Control. 66: 102430 (2021)
[j25]
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Ruixuan Yan, Agung Julius:
A Decentralized B&B Algorithm for Motion Planning of Robot Swarms With Temporal Logic Specifications. IEEE Robotics Autom. Lett. 6(4): 7389-7396 (2021)
2020
[j24]
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Teng Liu, Alhussein A. Abouzeid, A. Agung Julius:
Traffic Flow Control in Vehicular Multi-Hop Networks with Data Caching. IEEE Trans. Mob. Comput. 19(1): 231-244 (2020)
[j23]
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Teng Liu, Alhussein A. Abouzeid, A. Agung Julius:
Traffic Flow Control in Vehicular Multi-Hop Networks With Data Caching and Infrastructure Support. IEEE/ACM Trans. Netw. 28(1): 376-386 (2020)
2019
[j22]
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Joseph D. Gleason, Meeko M. K. Oishi, John T. Wen, Agung Julius, Suguna Pappu, Howard Yonas:
Assessing circadian rhythms and entrainment via intracranial temperature after severe head trauma. Biomed. Signal Process. Control. 54 (2019)
[j21]
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Ruixuan Yan, Zhe Xu, Agung Julius:
Swarm Signal Temporal Logic Inference for Swarm Behavior Analysis. IEEE Robotics Autom. Lett. 4(3): 3021-3028 (2019)
[j20]
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Zhe Xu, Agung Julius, Joe H. Chow:
Energy Storage Controller Synthesis for Power Systems With Temporal Logic Specifications. IEEE Syst. J. 13(1): 748-759 (2019)
[j19]
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Zhe Xu, A. Agung Julius:
Robust Temporal Logic Inference for Provably Correct Fault Detection and Privacy Preservation of Switched Systems. IEEE Syst. J. 13(3): 3010-3021 (2019)
[j18]
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Zhe Xu, Sayan Saha, Botao Hu, Sandipan Mishra, A. Agung Julius:
Advisory Temporal Logic Inference and Controller Design for Semiautonomous Robots. IEEE Trans Autom. Sci. Eng. 16(1): 459-477 (2019)
2018
[j17]
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Sayan Saha, Anak Agung Julius:
Task and Motion Planning for Manipulator Arms With Metric Temporal Logic Specifications. IEEE Robotics Autom. Lett. 3(1): 379-386 (2018)
[j16]
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Zhe Xu, A. Agung Julius, Joe H. Chow:
Robust Testing of Cascading Failure Mitigations Based on Power Dispatch and Quick-Start Storage. IEEE Syst. J. 12(4): 3063-3074 (2018)
[j15]
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Zhe Xu, A. Agung Julius:
Census Signal Temporal Logic Inference for Multiagent Group Behavior Analysis. IEEE Trans Autom. Sci. Eng. 15(1): 264-277 (2018)
2017
[j14]
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Wei Qiao, John T. Wen, Agung Julius:
Entrainment Control of Phase Dynamics. IEEE Trans. Autom. Control. 62(1): 445-450 (2017)
2016
[j13]
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Jiaxiang Zhang, Wei Qiao, John T. Wen, Agung Julius:
Light-based circadian rhythm control: Entrainment and optimization. Autom. 68: 44-55 (2016)
[j12]
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Yi Deng, Alessandro D'Innocenzo, Maria Domenica Di Benedetto, Stefano Di Gennaro, A. Agung Julius:
Verification of Hybrid Automata Diagnosability With Measurement Uncertainty. IEEE Trans. Autom. Control. 61(4): 982-993 (2016)
2015
[j11]
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Andrew K. Winn, A. Agung Julius:
Safety Controller Synthesis Using Human Generated Trajectories. IEEE Trans. Autom. Control. 60(6): 1597-1610 (2015)
2013
[j10]
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Yan Ou, Dal Hyung Kim, Paul Seung Soo Kim, Min Jun Kim, A. Agung Julius:
Motion control of magnetized Tetrahymena pyriformis cells by a magnetic field with Model Predictive Control. Int. J. Robotics Res. 32(1): 129-139 (2013)
2011
[j9]
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Michael M. Zavlanos, A. Agung Julius, Stephen P. Boyd, George J. Pappas:
Inferring stable genetic networks from steady-state data. Autom. 47(6): 1113-1122 (2011)
[j8]
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Mahmut Selman Sakar, Edward B. Steager, Dal Hyung Kim, A. Agung Julius, MinJun Kim, Vijay Kumar, George J. Pappas:
Modeling, control and experimental characterization of microbiorobots. Int. J. Robotics Res. 30(6): 647-658 (2011)
2009
[j7]
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A. Agung Julius, Alessandro D'Innocenzo, Maria Domenica Di Benedetto, George J. Pappas:
Approximate equivalence and synchronization of metric transition systems. Syst. Control. Lett. 58(2): 94-101 (2009)
[j6]
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A. Agung Julius, George J. Pappas:
Approximations of Stochastic Hybrid Systems. IEEE Trans. Autom. Control. 54(6): 1193-1203 (2009)
2008
[j5]
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Antoine Girard, A. Agung Julius, George J. Pappas:
Approximate Simulation Relations for Hybrid Systems. Discret. Event Dyn. Syst. 18(2): 163-179 (2008)
[j4]
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Paulo Tabuada, Aaron D. Ames, A. Agung Julius, George J. Pappas:
Approximate reduction of dynamic systems. Syst. Control. Lett. 57(7): 538-545 (2008)
[j3]
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A. Agung Julius, Ádám M. Halász, Mahmut Selman Sakar, Harvey Rubin, Vijay Kumar, George J. Pappas:
Stochastic Modeling and Control of Biological Systems: The Lactose Regulation System of Escherichia Coli. IEEE Trans. Autom. Control. 53: 51-65 (2008)
[j2]
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Anak Agung Julius, Jan Willem Polderman, Arjan van der Schaft:
Parametrization of the Regular Equivalences of the Canonical Controller. IEEE Trans. Autom. Control. 53(4): 1032-1036 (2008)
2005
[j1]
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A. Agung Julius, Jan C. Willems, Madhu N. Belur, Harry L. Trentelman:
The canonical controllers and regular interconnection. Syst. Control. Lett. 54(8): 787-797 (2005)

Conference and Workshop Papers

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2023
[c83]
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Yunshi Wen, Honglu He, Agung Julius, John T. Wen:
Motion Profile Optimization in Industrial Robots using Reinforcement Learning. AIM 2023: 1309-1316
[c82]
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  - conf/amcc/MaiMJ23
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Rene Mai, Sandipan Mishra, Agung Julius:
Human-as-advisor in the loop for autonomous lane-keeping. ACC 2023: 3895-3900
[c81]
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A. Agung Julius, Yunshi Wen, Ruixuan Yan:
Optimal Control of Discrete-Time Multivariate Point Processes with Finite-Time Steady State. CDC 2023: 8545-8552
[c80]
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Chukwuemeka O. Ike, John T. Wen, Meeko M. K. Oishi, Lee K. Brown, A. Agung Julius:
Efficient Estimation of the Human Circadian Phase via Kalman Filtering. EMBC 2023: 1-6
[c79]
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Zidi Tao, Agung Julius, John T. Wen:
Robustness of Optimal Circadian Rhythm Entrainment under Model Perturbation. EMBC 2023: 1-4
[c78]
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Ruixuan Yan, Yunshi Wen, Debarun Bhattacharjya, Ronny Luss, Tengfei Ma, Achille Fokoue, Anak Agung Julius:
Weighted Clock Logic Point Process. ICLR 2023
[c77]
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Honglu He, Chen-lung Lu, Yunshi Wen, Glenn Saunders, Pinghai Yang, Jeffrey Schoonover, John D. Wason, Agung Julius, John T. Wen:
High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots. ICRA 2023: 12289-12295
2022
[c76]
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  - conf/icdm/Yan0FCJ22
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Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius:
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. ICDM 2022: 618-627
2021
[c75]
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  - conf/incdm/YanJCFMU21
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Ruixuan Yan, Agung Julius, Maria Chang, Achille Fokoue, Tengfei Ma, Rosario Uceda-Sosa:
STONE: Signal Temporal Logic Neural Network for Time Series Classification. ICDM (Workshops) 2021: 778-787
2019
[c74]
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  - conf/amcc/0005OJT19
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Zhe Xu, Melkior Ornik, A. Agung Julius, Ufuk Topcu:
Information-Guided Temporal Logic Inference with Prior Knowledge. ACC 2019: 1891-1897
[c73]
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Jiawei Yin, Agung Julius, John T. Wen:
Rapid Circadian Entrainment in Models of Circadian Genes Regulation. CDC 2019: 1899-1906
[c72]
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Zhe Xu, Alexander J. Nettekoven, A. Agung Julius, Ufuk Topcu:
Graph Temporal Logic Inference for Classification and Identification. CDC 2019: 4761-4768
2018
[c71]
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Zhe Xu, Yi Deng, Agung Julius:
Robust Temporal Logic Inference for Hybrid System Observation- An Application on Occupancy Detection of Smart Buildings. ACC 2018: 610-615
[c70]
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Zhe Xu, Agung Julius, Joe H. Chow:
Coordinated Control of Wind Turbine Generator and Energy Storage System for Frequency Regulation under Temporal Logic Specifications. ACC 2018: 1580-1585
2017
[c69]
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Zhe Xu, Agung Julius, Joe H. Chow:
Optimal energy storage control for frequency regulation under temporal logic specifications. ACC 2017: 1874-1879
[c68]
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Teng Liu, Alhussein A. Abouzeid, A. Agung Julius:
Traffic flow control in vehicular communication networks. ACC 2017: 5513-5518
[c67]
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Agung Julius, Jiawei Yin, John T. Wen:
Time-optimal control for circadian entrainment for a model with circadian and sleep dynamics. CDC 2017: 4709-4714
[c66]
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Zhe Xu, Sayan Saha, Agung Julius:
Provably correct design of observations for fault detection with privacy preservation. CDC 2017: 5620-5625
[c65]
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Teng Liu, Alhussein A. Abouzeid, A. Agung Julius:
Infrastructure Bandwidth Allocation for Social Welfare Maximization in Future Connected Autonomous Vehicular Networks. CarSys@MobiCom 2017: 49-56
2016
[c64]
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Sayan Saha, A. Agung Julius:
An MILP approach for real-time optimal controller synthesis with Metric Temporal Logic specifications. ACC 2016: 1105-1110
2015
[c63]
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Zhe Xu, Calin Belta, Agung Julius:
Temporal Logic Inference with Prior Information: An Application to Robot Arm Movements. ADHS 2015: 141-146
[c62]
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Yi Deng, Alessandro D'Innocenzo, A. Agung Julius:
Trajectory-based observer for hybrid automata fault diagnosis. CDC 2015: 942-947
[c61]
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Yi Deng, A. Agung Julius, Alessandro D'Innocenzo:
Probabilistic diagnosability of hybrid systems. HSCC 2015: 88-97
[c60]
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Yan Ou, Peter Kang, Min Jun Kim, A. Agung Julius:
Algorithms for simultaneous motion control of multiple T. pyriformis cells: Model predictive control and Particle Swarm Optimization. ICRA 2015: 3507-3512
[c59]
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Hoyeon Kim, U. Kei Cheang, A. Agung Julius, Min Jun Kim:
Dynamic obstacle avoidance for bacteria-powered microrobots. IROS 2015: 2000-2005
2014
[c58]
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A. Agung Julius, Alessandro D'Innocenzo:
Combining analytical technique and randomized algorithm in safety verification of stochastic hybrid systems. ACC 2014: 1438-1443
[c57]
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Houssam Abbas, Andrew K. Winn, Georgios Fainekos, A. Agung Julius:
Functional gradient descent method for Metric Temporal Logic specifications. ACC 2014: 2312-2317
[c56]
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Sayan Saha, A. Agung Julius:
Trajectory-based formal controller synthesis for multi-link robots with elastic joints. CDC 2014: 830-835
[c55]
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Yi Deng, A. Agung Julius:
Safe Neighborhood Computation for Hybrid System Verification. HAS 2014: 1-12
2013
[c54]
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Jiaxiang Zhang, John T. Wen, Agung Julius:
Adaptive circadian argument estimator and its application to circadian argument control. ACC 2013: 2295-2300
[c53]
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Andrew K. Winn, A. Agung Julius:
Optimization of human generated trajectories for safety controller synthesis. ACC 2013: 4374-4379
[c52]
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Guilhem Richard, A. Agung Julius, Calin Belta:
Optimizing regulation functions in gene network identification. CDC 2013: 745-750
[c51]
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Jiaxiang Zhang, John T. Wen, Agung Julius:
Optimal and feedback control for light-based circadian entrainment. CDC 2013: 2677-2682
[c50]
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Andrew K. Winn, A. Agung Julius:
Feedback control law generation for safety controller synthesis. CDC 2013: 3912-3917
[c49]
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Aaron T. Becker, Yan Ou, Paul Seung Soo Kim, Min Jun Kim, A. Agung Julius:
Feedback control of many magnetized: Tetrahymena pyriformis cells by exploiting phase inhomogeneity. IROS 2013: 3317-3323
[c48]
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Yi Deng, Akshay Rajhans, A. Agung Julius:
STRONG: A Trajectory-Based Verification Toolbox for Hybrid Systems. QEST 2013: 165-168
[c47]
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Paul Seung Soo Kim, Aaron T. Becker, Yan Ou, Anak Agung Julius, Min Jun Kim:
Swarm control of cell-based microrobots using a single global magnetic field. URAI 2013: 21-26
2012
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A. Agung Julius, Andrew K. Winn:
Safety controller synthesis using human generated trajectories: Nonlinear dynamics with feedback linearization and differential flatness. ACC 2012: 709-714
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Sina Afshari, Sandipan Mishra, Agung Julius, Fernando C. Lizarralde, John T. Wen:
Modeling and feedback control of color-tunable LED lighting systems. ACC 2012: 3663-3668
[c44]
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Jiaxiang Zhang, John T. Wen, Agung Julius:
Optimal circadian rhythm control with light input for rapid entrainment and improved vigilance. CDC 2012: 3007-3012
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Andrew K. Winn, Xuemei Gao, Sandipan Mishra, A. Agung Julius:
Learning potential functions by demonstration for path planning. CDC 2012: 4654-4659
[c42]
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Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer, Min Jun Kim:
Tracking Tetrahymena pyriformis cells using decision trees. ICPR 2012: 1843-1847
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Dal Hyung Kim, Paul Seung Soo Kim, A. Agung Julius, Min Jun Kim:
Three-dimensional control of engineered motile cellular microrobots. ICRA 2012: 721-726
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Yan Ou, Dal Hyung Kim, Paul Seung Soo Kim, Min Jun Kim, A. Agung Julius:
Motion control of Tetrahymena pyriformis cells with artificial magnetotaxis: Model Predictive Control (MPC) approach. ICRA 2012: 2492-2497
2011
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Michael M. Zavlanos, A. Agung Julius:
Robust flux balance analysis of metabolic networks. ACC 2011: 2915-2920
[c38]
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Jiaxiang Zhang, John T. Wen, Agung Julius:
Modeling of drosophila circadian system based on locomotor activity. ACC 2011: 3496-3501
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Nicholas Cooper, A. Agung Julius:
Bacterial persistence: Mathematical modeling and optimal treatment strategy. ACC 2011: 3502-3507
[c36]
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Nicholas Cooper, Calin Belta, A. Agung Julius:
Genetic regulatory network identification using multivariate monotone functions. CDC/ECC 2011: 2208-2213
[c35]
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Guilhem Richard, Hyeygjeon Chang, Igor Cizelj, Calin Belta, A. Agung Julius, Salomon Amar:
Integration of large-scale metabolic, signaling, and gene regulatory networks with application to infection responses. CDC/ECC 2011: 2227-2232
[c34]
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Hyeygjeon Chang, Guilhem Richard, A. Agung Julius, Calin Belta, Salomon Amar:
An application of monotone functions decomposition to the reconstruction of gene regulatory networks. EMBC 2011: 2430-2433
[c33]
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Dal Hyung Kim, Sean Brigandi, A. Agung Julius, Min Jun Kim:
Real-time feedback control using artificial magnetotaxis with rapidly-exploring random tree (RRT) for Tetrahymena pyriformis as a microbiorobot. ICRA 2011: 3183-3188
2010
[c32]
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A. Agung Julius, Shayla M. Sawyer:
Control systems challenges in energy efficient portable UV based water sterilizer. ACC 2010: 3617-3622
[c31]
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Tiejun Zhang, John T. Wen, Agung Julius, He Bai, Yoav Peles, Michael K. Jensen:
Parallel-channel flow instabilities and active control schemes in two-phase microchannel heat exchanger systems. ACC 2010: 3753-3758
[c30]
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A. Agung Julius:
Trajectory-based controller design for hybrid systems with affine continuous dynamics. CASE 2010: 1007-1012
[c29]
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Tiejun Zhang, John T. Wen, Agung Julius, Yoav Peles, Michael K. Jensen:
Extremum seeking micro-thermal-fluid control for active two-phase microelectronics cooling. CDC 2010: 1899-1904
[c28]
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A. Agung Julius, Sina Afshari:
Using computer games for hybrid systems controller synthesis. CDC 2010: 5887-5892
[c27]
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Jiaxiang Zhang, Andrew Bierman, John T. Wen, Agung Julius, Mariana Figueiro:
Circadian system modeling and phase control. CDC 2010: 6058-6063
[c26]
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Mahmut Selman Sakar, Edward B. Steager, A. Agung Julius, MinJun Kim, Vijay Kumar, George J. Pappas:
Biosensing and actuation for microbiorobots. ICRA 2010: 3141-3146
2009
[c25]
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A. Agung Julius, George J. Pappas:
Trajectory Based Verification Using Local Finite-Time Invariance. HSCC 2009: 223-236
[c24]
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A. Agung Julius, Mahmut Selman Sakar, Edward B. Steager, U. Kei Cheang, MinJun Kim, Vijay Kumar, George J. Pappas:
Harnessing bacterial power in microscale actuation. ICRA 2009: 1004-1009
2008
[c23]
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Michael M. Zavlanos, A. Agung Julius, Stephen P. Boyd, George J. Pappas:
Identification of stable genetic networks using convex programming. ACC 2008: 2755-2760
[c22]
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A. Agung Julius, Marcin Imielinski, George J. Pappas:
Metabolic networks analysis using convex optimization. CDC 2008: 762-767
[c21]
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A. Agung Julius, George J. Pappas:
Probabilistic testing for stochastic hybrid systems. CDC 2008: 4030-4035
2007
[c20]
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A. Agung Julius, Ádám M. Halász, Vijay Kumar, George J. Pappas:
Controlling biological systems: the lactose regulation system of Escherichia coli. ACC 2007: 1305-1310
[c19]
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A. Agung Julius, Mahmut Selman Sakar, Alberto Bemporad, George J. Pappas:
Hybrid model predictive control of induction of Escherichia coli. CDC 2007: 3913-3918
[c18]
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Alessandro D'Innocenzo, A. Agung Julius, George J. Pappas, Maria Domenica Di Benedetto, Stefano Di Gennaro:
Verification of temporal properties on hybrid automata by simulation relations. CDC 2007: 4039-4044
[c17]
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Alessandro D'Innocenzo, A. Agung Julius, Maria Domenica Di Benedetto, George J. Pappas:
Approximate timed abstractions of hybrid automata. CDC 2007: 4045-4050
[c16]
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A. Agung Julius, Georgios E. Fainekos, Madhukar Anand, Insup Lee, George J. Pappas:
Robust Test Generation and Coverage for Hybrid Systems. HSCC 2007: 329-342
2006
[c15]
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Antoine Girard, A. Agung Julius, George J. Pappas:
Approximate simulation Relations for Hybrid Systems. ADHS 2006: 106-111
[c14]
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A. Agung Julius, Antoine Girard, George J. Pappas:
Approximate bisimulation for a class of stochastic hybrid systems. ACC 2006: 1-6
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Stefan Strubbe, Arjan van der Schaft, Agung Julius:
Value passing for communicating piecewise deterministic Markov processes. ACC 2006: 1-6
[c12]
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A. Agung Julius, Ádám M. Halász, Vijay Kumar, George J. Pappas:
Finite state abstraction of a stochastic model of the lactose regulation system of Escherichia coli. CDC 2006: 19-24
[c11]
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A. Agung Julius, George J. Pappas:
Approximate equivalence and approximate synchronization of metric transition systems. CDC 2006: 905-910
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Paulo Tabuada, Aaron D. Ames, Agung Julius, George J. Pappas:
Approximate Reduction of Dynamical Systems. CDC 2006: 6408-6413
[c9]
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A. Agung Julius:
Approximate Abstraction of Stochastic Hybrid Automata. HSCC 2006: 318-332
2005
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A. Agung Julius, Madhu N. Belur:
Behavioral control in the presence of disturbances. CDC/ECC 2005: 155-160
[c7]
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A. Agung Julius, A. J. van der Schaft:
Bisimulation as congruence in the behavioral setting. CDC/ECC 2005: 814-819
2003
[c6]
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A. Agung Julius, Stefan Strubbe, A. J. van der Schaft:
Control of Hybrid Behavioral Automata by Interconnection. ADHS 2003: 105-110
[c5]
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Stefan Strubbe, A. Agung Julius, A. J. van der Schaft:
Communicating Piecewise Deterministic Markov Processes. ADHS 2003: 307-312
[c4]
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Jan C. Willems, A. Agung Julius, Madhu N. Belur, Harry L. Trentelman:
The canonical controller and its regularity. CDC 2003: 1639-1644
[c3]
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A. Agung Julius, A. J. van der Schaft:
Compatibility of behavior interconnections. ECC 2003: 2607-2612
2002
[c2]
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A. J. van der Schaft, A. Agung Julius:
Achievable behavior by composition. CDC 2002: 7-12
[c1]
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A. Agung Julius, A. J. van der Schaft:
The maximal controlled invariant set of switched linear systems. CDC 2002: 3174-3179

Informal and Other Publications

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2024
[i15]
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Neelanga Thelasingha, Agung Julius, James Humann, Jean-Paul Reddinger, James Dotterweich, Marshal Childers:
Iterative Planning for Multi-agent Systems: An Application in Energy-Aware UAV-UGV Cooperative Task Site Assignments. CoRR abs/2401.08846 (2024)
[i14]
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  - journals/corr/abs-2404-06687
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Honglu He, Chen-lung Lu, Glenn Saunders, Pinghai Yang, Jeffrey Schoonover, John D. Wason, Santiago Paternain, Agung Julius, John T. Wen:
Fast and Accurate Relative Motion Tracking for Two Industrial Robots. CoRR abs/2404.06687 (2024)
2023
[i13]
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Honglu He, Chen-lung Lu, Yunshi Wen, Glenn Saunders, Pinghai Yang, Jeffrey Schoonover, Agung Julius, John T. Wen:
High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots. CoRR abs/2301.02348 (2023)
2022
[i12]
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  - journals/corr/abs-2209-09114
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Ruixuan Yan, Tengfei Ma, Achille Fokoue, Maria Chang, Agung Julius:
Neuro-symbolic Models for Interpretable Time Series Classification using Temporal Logic Description. CoRR abs/2209.09114 (2022)
2021
[i11]
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  - journals/corr/abs-2104-05435
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  - https://dblp.org/rec/journals/corr/abs-2104-05435
Ruixuan Yan, Agung Julius:
Neural Network for Weighted Signal Temporal Logic. CoRR abs/2104.05435 (2021)
[i10]
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  - journals/corr/abs-2109-08078
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Nasim Baharisangari, Kazuma Hirota, Ruixuan Yan, Agung Julius, Zhe Xu:
Weighted Graph-Based Signal Temporal Logic Inference Using Neural Networks. CoRR abs/2109.08078 (2021)
2020
[i9]
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  - journals/corr/abs-2004-02018
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Zhe Xu, Yi Deng, Agung Julius:
Temporal Logic Inference for Hybrid System Observation with Spatial and Temporal Uncertainties. CoRR abs/2004.02018 (2020)
[i8]
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  - journals/corr/abs-2004-12473
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  - https://dblp.org/rec/journals/corr/abs-2004-12473
Ruixuan Yan, Agung Julius:
Distributed Monitoring of Robot Swarms with Swarm Signal Temporal Logic. CoRR abs/2004.12473 (2020)
2019
[i7]
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  dblp key:
  - journals/corr/abs-1903-09714
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  - https://dblp.org/rec/journals/corr/abs-1903-09714
Zhe Xu, Alexander J. Nettekoven, A. Agung Julius, Ufuk Topcu:
Graph Temporal Logic Inference for Classification and Identification. CoRR abs/1903.09714 (2019)
[i6]
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  dblp key:
  - journals/corr/abs-1911-11347
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  - https://dblp.org/rec/journals/corr/abs-1911-11347
Zhe Xu, Agung Julius, Ufuk Topcu, Joe H. Chow:
Controller Synthesis of Wind Turbine Generator and Energy Storage System with Stochastic Wind Variations under Temporal Logic Specifications. CoRR abs/1911.11347 (2019)
2018
[i5]
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  - journals/corr/abs-1804-00115
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  - https://dblp.org/rec/journals/corr/abs-1804-00115
Wei Qiao, Kyle Altman, Agung Julius, Bernard Possidente, John T. Wen:
Continuous Circadian Phase Estimation Using Adaptive Notch Filter. CoRR abs/1804.00115 (2018)
[i4]
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  dblp key:
  - journals/corr/abs-1811-08846
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Zhe Xu, Melkior Ornik, A. Agung Julius, Ufuk Topcu:
Information-Guided Temporal Logic Inference with Prior Knowledge. CoRR abs/1811.08846 (2018)
2016
[i3]
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  - journals/corr/SahaJ16
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Sayan Saha, A. Agung Julius:
An MILP Approach for Real-time Optimal Controller Synthesis with Metric Temporal Logic Specifications. CoRR abs/1603.02650 (2016)
[i2]
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  - journals/corr/XuJ16
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Zhe Xu, Agung Julius:
Census Signal Temporal Logic Inference for Multi-Agent Group Behavior Analysis. CoRR abs/1610.05612 (2016)
2012
[i1]
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  dblp key:
  - journals/corr/abs-1207-3127
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  - https://dblp.org/rec/journals/corr/abs-1207-3127
Quan Wang, Yan Ou, A. Agung Julius, Kim L. Boyer, Min Jun Kim:
Tracking Tetrahymena Pyriformis Cells using Decision Trees. CoRR abs/1207.3127 (2012)

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