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Zhe Xu 0005
Person information
- affiliation: Arizona State University, Tempe, AZ, USA
- affiliation (former): Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering, Troy, NY, USA
Other persons with the same name
- Zhe Xu — disambiguation page
- Zhe Xu 0001 — University of Texas at Dallas, Department of Computer Science, Richardson, TX, USA
- Zhe Xu 0002 — University of Washington, Department of Computer Science and Engineering, USA
- Zhe Xu 0003 — Shanghai Jiao Tong University, Cooperative Medianet Innovation Center / Shanghai Key Laboratory of Multimedia Processing and Transmissions, China
- Zhe Xu 0004 — Beijing Institute of Technology, Intelligent Robotics Institute, School of Mechatronical Engineering, China
- Zhe Xu 0006 — Bournemouth University, Poole, UK
- Zhe Xu 0007 — University of Illinois Urbana-Champaign, Urbana, IL, USA
- Zhe Xu 0008 — City University of Hong Kong, Department of Electrical Engineering, Hong Kong
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2020 – today
- 2024
- [j21]Ren Wang, Zhe Xu, Alfred O. Hero III:
Multi-Trigger-Key: Toward Multi-Task Privacy Preserving in Deep Learning. IEEE Access 12: 16939-16950 (2024) - [j20]Shayan Meshkat Alsadat, Zhe Xu:
Multi-Agent Reinforcement Learning in Non-Cooperative Stochastic Games Using Large Language Models. IEEE Control. Syst. Lett. 8: 2757-2762 (2024) - [j19]Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu:
Hierarchical Control for Head-to-Head Autonomous Racing. Field Robotics 4(1): 46-69 (2024) - [j18]Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized graph-based multi-agent reinforcement learning using reward machines. Neurocomputing 564: 126974 (2024) - [j17]Xiaoming Duan, Zhe Xu, Rui Yan, Ufuk Topcu:
Privacy-Utility Tradeoffs Against Limited Adversaries. IEEE Trans. Autom. Control. 69(1): 519-526 (2024) - [j16]Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu:
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing. IEEE Trans. Intell. Veh. 9(5): 4845-4860 (2024) - [j15]Lei Zhang, Mukesh Ghimire, Wenlong Zhang, Zhe Xu, Yi Ren:
Value Approximation for Two-Player General-Sum Differential Games With State Constraints. IEEE Trans. Robotics 40: 4837-4855 (2024) - [c40]Shayan Meshkat Alsadat, Nasim Baharisangari, Yash Paliwal, Zhe Xu:
Distributed Reinforcement Learning For Swarm Systems With Reward Machines. ACC 2024: 33-38 - [c39]Mukesh Ghimire, Lei Zhang, Wenlong Zhang, Yi Ren, Zhe Xu:
Solving Two-Player General-Sum Game Between Swarms. ACC 2024: 56-61 - [c38]Nasim Baharisangari, Yash Paliwal, Zhe Xu:
Counterfactually-Guided Causal Reinforcement Learning with Reward Machines. ACC 2024: 522-527 - [c37]Nasim Baharisangari, Narendhiran Saravanane, Zhe Xu:
Distributed Differentially Private Control Synthesis for Multi-Agent Systems with Metric Temporal Logic Specifications. ACC 2024: 4289-4295 - [c36]Jan Corazza, Hadi Partovi Aria, Daniel Neider, Zhe Xu:
Expediting Reinforcement Learning by Incorporating Knowledge About Temporal Causality in the Environment. CLeaR 2024: 643-664 - [c35]Mukesh Ghimire, Lei Zhang, Zhe Xu, Yi Ren:
State-Constrained Zero-Sum Differential Games with One-Sided Information. ICML 2024 - [c34]Shayan Meshkat Alsadat, Nasim Baharisangari, Zhe Xu:
Distributed on-the-fly control of multi-agent systems with unknown dynamics: Using limited data to obtain near-optimal control. L4DC 2024: 1440-1451 - [c33]Lei Zhang, Mukesh Ghimire, Zhe Xu, Wenlong Zhang, Yi Ren:
Pontryagin neural operator for solving general-sum differential games with parametric state constraints. L4DC 2024: 1728-1740 - [i48]Lei Zhang, Mukesh Ghimire, Zhe Xu, Wenlong Zhang, Yi Ren:
Pontryagin Neural Operator for Solving Parametric General-Sum Differential Games. CoRR abs/2401.01502 (2024) - [i47]Shayan Meshkat Alsadat, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu:
Using Large Language Models to Automate and Expedite Reinforcement Learning with Reward Machine. CoRR abs/2402.07069 (2024) - [i46]Mukesh Ghimire, Lei Zhang, Zhe Xu, Yi Ren:
State-Constrained Zero-Sum Differential Games with One-Sided Information. CoRR abs/2403.02741 (2024) - 2023
- [j14]Zhe Xu, Federico M. Zegers, Nasim Baharisangari, Bo Wu, Alexander J. Phillips, Warren E. Dixon, Ufuk Topcu:
Controller Synthesis for Multi-Agent Systems With Intermittent Communication and Metric Temporal Logic Specifications. IEEE Access 11: 91324-91335 (2023) - [j13]Runhan Sun, Suda Bharadwaj, Zhe Xu, Ufuk Topcu, Warren E. Dixon:
Reactive synthesis for relay-explorer consensus with intermittent communication. Autom. 154: 111075 (2023) - [j12]Bo Wu, Murat Cubuktepe, Franck Djeumou, Zhe Xu, Ufuk Topcu:
Policy Synthesis for Switched Linear Systems With Markov Decision Process Switching. IEEE Trans. Autom. Control. 68(1): 532-539 (2023) - [j11]Franck Djeumou, Zhe Xu, Murat Cubuktepe, Ufuk Topcu:
Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach. IEEE Trans. Autom. Control. 68(4): 2245-2260 (2023) - [c32]Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Interpretable Temporal Properties from Positive Examples Only. AAAI 2023: 6507-6515 - [c31]Yash Paliwal, Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Xiaoming Duan, Ufuk Topcu, Zhe Xu:
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams. CD-MAKE 2023: 123-140 - [c30]Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu:
Reinforcement Learning with Reward Machines in Stochastic Games. ECAI 2023: 1068-1075 - [c29]Christos K. Verginis, Zhe Xu, Ufuk Topcu:
Non-Parametric Neuro-Adaptive Control. ECC 2023: 1-6 - [c28]Lei Zhang, Mukesh Ghimire, Wenlong Zhang, Zhe Xu, Yi Ren:
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games. ICRA 2023: 3022-3028 - [i45]Jueming Hu, Jean-Raphaël Gaglione, Yanze Wang, Zhe Xu, Ufuk Topcu, Yongming Liu:
Reinforcement Learning With Reward Machines in Stochastic Games. CoRR abs/2305.17372 (2023) - [i44]Zeyuan Jin, Nasim Baharisangari, Zhe Xu, Sze Zheng Yong:
Data-Driven Model Discrimination of Switched Nonlinear Systems with Temporal Logic Inference. CoRR abs/2306.09966 (2023) - [i43]Yash Paliwal, Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Xiaoming Duan, Ufuk Topcu, Zhe Xu:
Reinforcement Learning with Temporal-Logic-Based Causal Diagrams. CoRR abs/2306.13732 (2023) - [i42]Mukesh Ghimire, Lei Zhang, Wenlong Zhang, Yi Ren, Zhe Xu:
Solving Two-Player General-Sum Games Between Swarms. CoRR abs/2310.01682 (2023) - [i41]Lei Zhang, Mukesh Ghimire, Wenlong Zhang, Zhe Xu, Yi Ren:
Value Approximation for Two-Player General-Sum Differential Games with State Constraints. CoRR abs/2311.16520 (2023) - 2022
- [j10]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) - [j9]Jean-Raphaël Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu:
MaxSAT-based temporal logic inference from noisy data. Innov. Syst. Softw. Eng. 18(3): 427-442 (2022) - [j8]Bo Wu, Steven Carr, Suda Bharadwaj, Zhe Xu, Ufuk Topcu:
Byzantine-Resilient Distributed Hypothesis Testing With Time-Varying Network Topology. IEEE Trans. Autom. Control. 67(7): 3243-3258 (2022) - [c27]Sunny Amatya, Mukesh Ghimire, Yi Ren, Zhe Xu, Wenlong Zhang:
When Shall I Estimate Your Intent? Costs and Benefits of Intent Inference in Multi-Agent Interactions. ACC 2022: 586-592 - [c26]Christos K. Verginis, Zhe Xu, Ufuk Topcu:
Non-Parametric Neuro-Adaptive Coordination of Multi-Agent Systems. AAMAS 2022: 1747-1749 - [i40]Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu:
Hierarchical Control for Multi-Agent Autonomous Racing. CoRR abs/2202.12861 (2022) - [i39]Rishabh Saumil Thakkar, Aryaman Singh Samyal, David Fridovich-Keil, Zhe Xu, Ufuk Topcu:
Hierarchical Control for Cooperative Teams in Competitive Autonomous Racing. CoRR abs/2204.13070 (2022) - [i38]Lei Zhang, Mukesh Ghimire, Wenlong Zhang, Zhe Xu, Yi Ren:
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games. CoRR abs/2207.01773 (2022) - [i37]Christos K. Verginis, Zhe Xu, Ufuk Topcu:
Non-Parametric Neuro-Adaptive Formation Control. CoRR abs/2207.08288 (2022) - [i36]Rajarshi Roy, Jean-Raphaël Gaglione, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Interpretable Temporal Properties from Positive Examples Only. CoRR abs/2209.02650 (2022) - [i35]Nasim Baharisangari, Zhe Xu:
Distributed Differentially Private Control Synthesis for Multi-Agent Systems with Metric Temporal Logic Specifications. CoRR abs/2210.01759 (2022) - [i34]Jean-Raphaël Gaglione, Rajarshi Roy, Nasim Baharisangari, Daniel Neider, Zhe Xu, Ufuk Topcu:
Learning Temporal Logic Properties: an Overview of Two Recent Methods. CoRR abs/2212.00916 (2022) - 2021
- [j7]Murat Cubuktepe, Zhe Xu, Ufuk Topcu:
Distributed Policy Synthesis of Multiagent Systems With Graph Temporal Logic Specifications. IEEE Trans. Control. Netw. Syst. 8(4): 1799-1810 (2021) - [c25]Zhe Xu, Yuxin Chen, Ufuk Topcu:
Adaptive Teaching of Temporal Logic Formulas to Preference-based Learners. AAAI 2021: 5061-5068 - [c24]Daniel Neider, Jean-Raphaël Gaglione, Ivan Gavran, Ufuk Topcu, Bo Wu, Zhe Xu:
Advice-Guided Reinforcement Learning in a non-Markovian Environment. AAAI 2021: 9073-9080 - [c23]Ren Wang, Tianqi Chen, Zhe Xu, Pengzhi Gao:
Robust Low-Rank Tensor Recovery From Quantized and Corrupted Measurements. ACSCC 2021: 1656-1660 - [c22]Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu:
Reward Machines for Cooperative Multi-Agent Reinforcement Learning. AAMAS 2021: 934-942 - [c21]Jean-Raphaël Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu:
Learning Linear Temporal Properties from Noisy Data: A MaxSAT-Based Approach. ATVA 2021: 74-90 - [c20]Aris Kanellopoulos, Filippos Fotiadis, Chuangchuang Sun, Zhe Xu, Kyriakos G. Vamvoudakis, Ufuk Topcu, Warren E. Dixon:
Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking. CDC 2021: 1263-1268 - [c19]Zhe Xu, Xiaoming Duan:
Robust Pandemic Control Synthesis with Formal Specifications: A Case Study on COVID-19 Pandemic. CDC 2021: 2830-2835 - [c18]Zhe Xu, Yichen Zhang:
Provably Correct Controller Synthesis of Switched Stochastic Systems with Metric Temporal Logic Specifications: A Case Study on Power Systems. CDC 2021: 3519-3524 - [c17]Zhe Xu, Bo Wu, Aditya Ojha, Daniel Neider, Ufuk Topcu:
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples. CD-MAKE 2021: 115-135 - [c16]Nasim Baharisangari, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu:
Uncertainty-Aware Signal Temporal Logic Inference. VSTTE 2021: 61-85 - [i33]Zhe Xu, Xiaoming Duan:
Robust Pandemic Control Synthesis with Formal Specifications: A Case Study on COVID-19 Pandemic. CoRR abs/2103.14262 (2021) - [i32]Zhe Xu, Yichen Zhang:
Provably Correct Controller Synthesis of Switched Stochastic Systems with Metric Temporal Logic Specifications: A Case Study on Power Systems. CoRR abs/2103.14264 (2021) - [i31]Aris Kanellopoulos, Filippos Fotiadis, Chuangchuang Sun, Zhe Xu, Kyriakos G. Vamvoudakis, Ufuk Topcu, Warren E. Dixon:
Temporal-Logic-Based Intermittent, Optimal, and Safe Continuous-Time Learning for Trajectory Tracking. CoRR abs/2104.02547 (2021) - [i30]Zhe Xu, Federico M. Zegers, Bo Wu, Alexander J. Phillips, Warren E. Dixon, Ufuk Topcu:
Controller Synthesis for Multi-Agent Systems with Intermittent Communication and Metric Temporal Logic Specifications. CoRR abs/2104.08329 (2021) - [i29]Jean-Raphaël Gaglione, Daniel Neider, Rajarshi Roy, Ufuk Topcu, Zhe Xu:
Learning Linear Temporal Properties from Noisy Data: A MaxSAT Approach. CoRR abs/2104.15083 (2021) - [i28]Nasim Baharisangari, Jean-Raphaël Gaglione, Daniel Neider, Ufuk Topcu, Zhe Xu:
Uncertainty-Aware Signal Temporal logic. CoRR abs/2105.11545 (2021) - [i27]Christos K. Verginis, Zhe Xu, Ufuk Topcu:
Non-Parametric Neuro-Adaptive Control Subject to Task Specifications. CoRR abs/2106.13498 (2021) - [i26]Xiaoming Duan, Zhe Xu, Rui Yan, Ufuk Topcu:
Privacy-Utility Trade-Offs Against Limited Adversaries. CoRR abs/2106.14643 (2021) - [i25]Franck Djeumou, Zhe Xu, Murat Cubuktepe, Ufuk Topcu:
Probabilistic Control of Heterogeneous Swarms Subject to Graph Temporal Logic Specifications: A Decentralized and Scalable Approach. CoRR abs/2106.15729 (2021) - [i24]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) - [i23]Jueming Hu, Zhe Xu, Weichang Wang, Guannan Qu, Yutian Pang, Yongming Liu:
Decentralized Graph-Based Multi-Agent Reinforcement Learning Using Reward Machines. CoRR abs/2110.00096 (2021) - [i22]Ren Wang, Zhe Xu, Alfred O. Hero III:
Multi-Trigger-Key: Towards Multi-Task Privacy Preserving In Deep Learning. CoRR abs/2110.03106 (2021) - [i21]Christos K. Verginis, Zhe Xu, Ufuk Topcu:
Non-Parametric Neuro-Adaptive Coordination of Multi-Agent Systems. CoRR abs/2110.05125 (2021) - 2020
- [c15]Zhe Xu, Ivan Gavran, Yousef Ahmad, Rupak Majumdar, Daniel Neider, Ufuk Topcu, Bo Wu:
Joint Inference of Reward Machines and Policies for Reinforcement Learning. ICAPS 2020: 590-598 - [c14]Bo Wu, Steven Carr, Suda Bharadwaj, Zhe Xu, Ufuk Topcu:
Resilient Distributed Hypothesis Testing with Time-Varying Network Topology. ACC 2020: 1483-1488 - [c13]Zhe Xu, Kasra Yazdani, Matthew T. Hale, Ufuk Topcu:
Differentially Private Controller Synthesis With Metric Temporal Logic Specifications. ACC 2020: 4745-4750 - [c12]Murat Cubuktepe, Zhe Xu, Ufuk Topcu:
Policy Synthesis for Factored MDPs with Graph Temporal Logic Specifications. AAMAS 2020: 267-275 - [c11]Farzan Memarian, Zhe Xu, Bo Wu, Min Wen, Ufuk Topcu:
Active Task-Inference-Guided Deep Inverse Reinforcement Learning. CDC 2020: 1932-1938 - [c10]Franck Djeumou, Zhe Xu, Ufuk Topcu:
Probabilistic Swarm Guidance Subject to Graph Temporal Logic Specifications. Robotics: Science and Systems 2020 - [i20]Bo Wu, Murat Cubuktepe, Franck Djeumou, Zhe Xu, Ufuk Topcu:
Policy Synthesis for Switched Linear Systems with Markov Decision Process Switching. CoRR abs/2001.00835 (2020) - [i19]Murat Cubuktepe, Zhe Xu, Ufuk Topcu:
Policy Synthesis for Factored MDPs with Graph Temporal Logic Specifications. CoRR abs/2001.09066 (2020) - [i18]Farzan Memarian, Zhe Xu, Bo Wu, Min Wen, Ufuk Topcu:
Active Task-Inference-Guided Deep Inverse Reinforcement Learning. CoRR abs/2001.09227 (2020) - [i17]Zhe Xu, Yuxin Chen, Ufuk Topcu:
Adaptive Teaching of Temporal Logic Formulas to Learners with Preferences. CoRR abs/2001.09956 (2020) - [i16]Zhe Xu, Yi Deng, Agung Julius:
Temporal Logic Inference for Hybrid System Observation with Spatial and Temporal Uncertainties. CoRR abs/2004.02018 (2020) - [i15]Zhe Xu:
Robust Inference and Verification of Temporal Logic Classifier-in-the-loop Systems. CoRR abs/2004.02041 (2020) - [i14]Murat Cubuktepe, Zhe Xu, Ufuk Topcu:
Distributed Policy Synthesis of Multi-Agent Systems With Graph Temporal Logic Specifications. CoRR abs/2006.14947 (2020) - [i13]Zhe Xu, Bo Wu, Daniel Neider, Ufuk Topcu:
Active Finite Reward Automaton Inference and Reinforcement Learning Using Queries and Counterexamples. CoRR abs/2006.15714 (2020) - [i12]Cyrus Neary, Zhe Xu, Bo Wu, Ufuk Topcu:
Reward Machines for Cooperative Multi-Agent Reinforcement Learning. CoRR abs/2007.01962 (2020) - [i11]Zhe Xu, Bo Wu, Ufuk Topcu:
Control Strategies for COVID-19 Epidemic with Vaccination, Shield Immunity and Quarantine: A Metric Temporal Logic Approach. CoRR abs/2007.15114 (2020) - [i10]Bo Wu, Steven Carr, Suda Bharadwaj, Zhe Xu, Ufuk Topcu:
Byzantine-Resilient Distributed Hypothesis Testing With Time-Varying Network Topology. CoRR abs/2008.00164 (2020)
2010 – 2019
- 2019
- [j6]Ruixuan Yan, Zhe Xu, Agung Julius:
Swarm Signal Temporal Logic Inference for Swarm Behavior Analysis. IEEE Robotics Autom. Lett. 4(3): 3021-3028 (2019) - [j5]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) - [j4]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) - [j3]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) - [c9]Zhe Xu, Federico M. Zegers, Bo Wu, Warren E. Dixon, Ufuk Topcu:
Controller Synthesis for Multi-Agent Systems With Intermittent Communication. A Metric Temporal Logic Approach. Allerton 2019: 1015-1022 - [c8]Zhe Xu, Melkior Ornik, A. Agung Julius, Ufuk Topcu:
Information-Guided Temporal Logic Inference with Prior Knowledge. ACC 2019: 1891-1897 - [c7]Zhe Xu, Alexander J. Nettekoven, A. Agung Julius, Ufuk Topcu:
Graph Temporal Logic Inference for Classification and Identification. CDC 2019: 4761-4768 - [c6]Zhe Xu, Ufuk Topcu:
Transfer of Temporal Logic Formulas in Reinforcement Learning. IJCAI 2019: 4010-4018 - [i9]Zhe Xu, Alexander J. Nettekoven, A. Agung Julius, Ufuk Topcu:
Graph Temporal Logic Inference for Classification and Identification. CoRR abs/1903.09714 (2019) - [i8]Zhe Xu, Ufuk Topcu:
Transfer of Temporal Logic Formulas in Reinforcement Learning. CoRR abs/1909.04256 (2019) - [i7]Zhe Xu, Ivan Gavran, Yousef Ahmad, Rupak Majumdar, Daniel Neider, Ufuk Topcu, Bo Wu:
Joint Inference of Reward Machines and Policies for Reinforcement Learning. CoRR abs/1909.05912 (2019) - [i6]Zhe Xu, Federico M. Zegers, Bo Wu, Warren E. Dixon, Ufuk Topcu:
Controller Synthesis for Multi-Agent Systems With Intermittent Communication: A Metric Temporal Logic Approach. CoRR abs/1909.09939 (2019) - [i5]Zhe Xu, Kasra Yazdani, Matthew T. Hale, Ufuk Topcu:
Differentially Private Controller Synthesis With Metric Temporal Logic Specifications. CoRR abs/1909.13294 (2019) - [i4]Michael Hibbard, Yagiz Savas, Zhe Xu, Ufuk Topcu:
Minimizing the Information Leakage Regarding High-Level Task Specifications. CoRR abs/1911.09889 (2019) - [i3]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
- [j2]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) - [j1]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) - [c5]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 - [c4]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 - [i2]Zhe Xu, Melkior Ornik, A. Agung Julius, Ufuk Topcu:
Information-Guided Temporal Logic Inference with Prior Knowledge. CoRR abs/1811.08846 (2018) - 2017
- [c3]Zhe Xu, Agung Julius, Joe H. Chow:
Optimal energy storage control for frequency regulation under temporal logic specifications. ACC 2017: 1874-1879 - [c2]Zhe Xu, Sayan Saha, Agung Julius:
Provably correct design of observations for fault detection with privacy preservation. CDC 2017: 5620-5625 - 2016
- [i1]Zhe Xu, Agung Julius:
Census Signal Temporal Logic Inference for Multi-Agent Group Behavior Analysis. CoRR abs/1610.05612 (2016) - 2015
- [c1]Zhe Xu, Calin Belta, Agung Julius:
Temporal Logic Inference with Prior Information: An Application to Robot Arm Movements. ADHS 2015: 141-146
Coauthor Index
aka: Agung Julius
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