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Books and Theses
- 2011
[b1]Minghui Zhu:
Distributed decision-making of networked multi-agent systems in complex environments. University of California, San Diego, USA, 2011
Journal Articles
- 2024
- [j37]Zhenyuan Yuan, Siyuan Xu, Minghui Zhu:
Federated reinforcement learning for robot motion planning with zero-shot generalization. Autom. 166: 111709 (2024) - [j36]Xu Zhang
, Zhenyuan Yuan, Siyuan Xu, Yang Lu, Minghui Zhu:
Secure Perception-Driven Control of Mobile Robots Using Chaotic Encryption. IEEE Trans. Autom. Control. 69(4): 2429-2436 (2024) - [j35]Zhenyuan Yuan, Minghui Zhu:
Lightweight Distributed Gaussian Process Regression for Online Machine Learning. IEEE Trans. Autom. Control. 69(6): 3928-3943 (2024) - [j34]Yang Lu, Jianming Lian, Minghui Zhu, Ke Ma:
Transactive Energy System Deployment Over Insecure Communication Links. IEEE Trans Autom. Sci. Eng. 21(3): 2677-2688 (2024) - 2023
- [j33]Hunmin Kim, Minghui Zhu:
Optimal Bilevel Lottery Design for Multiagent Systems. IEEE Trans. Syst. Man Cybern. Syst. 53(11): 7177-7187 (2023) - 2022
- [j32]Guoxiang Zhao, Minghui Zhu:
Scalable distributed algorithms for multi-robot near-optimal motion planning. Autom. 140: 110241 (2022) - [j31]Jeng-Shyang Pan, Minghui Zhu, Shu-Chuan Chu:
Robust digital watermarking with parallel compact sparrow search algorithm applied for QR code. J. Inf. Hiding Multim. Signal Process. 13(2): 124-144 (2022) - [j30]Samer Saab Jr., Shashi Phoha, Minghui Zhu, Asok Ray:
An adaptive polyak heavy-ball method. Mach. Learn. 111(9): 3245-3277 (2022) - [j29]Samer Saab Jr., Khaled Kamal Saab, Shashi Phoha, Minghui Zhu, Asok Ray:
A multivariate adaptive gradient algorithm with reduced tuning efforts. Neural Networks 152: 499-509 (2022) - [j28]Yang Lu, Minghui Zhu:
Distributed Economic Control of Dynamically Coupled Networks. IEEE Trans. Cybern. 52(3): 1377-1391 (2022) - 2021
- [j27]Guoxiang Zhao, Minghui Zhu:
Pareto Optimal Multirobot Motion Planning. IEEE Trans. Autom. Control. 66(9): 3984-3999 (2021) - [j26]Zhisheng Hu, Ping Chen, Minghui Zhu, Peng Liu:
A Co-Design Adaptive Defense Scheme With Bounded Security Damages Against Heartbleed-Like Attacks. IEEE Trans. Inf. Forensics Secur. 16: 4691-4704 (2021) - 2020
- [j25]Hunmin Kim, Pinyao Guo, Minghui Zhu, Peng Liu:
Simultaneous input and state estimation for stochastic nonlinear systems with additive unknown inputs. Autom. 111 (2020) - [j24]Yang Lu, Minghui Zhu:
On privacy preserving data release of linear dynamic networks. Autom. 115: 108839 (2020) - [j23]Xusheng Li, Zhisheng Hu, Haizhou Wang, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu:
DeepReturn: A deep neural network can learn how to detect previously-unseen ROP payloads without using any heuristics. J. Comput. Secur. 28(5): 499-523 (2020) - [j22]Hunmin Kim, Minghui Zhu, Jianming Lian:
Distributed Robust Adaptive Frequency Control of Power Systems With Dynamic Loads. IEEE Trans. Autom. Control. 65(11): 4887-4894 (2020) - [j21]Zhisheng Hu, Minghui Zhu, Peng Liu:
Adaptive Cyber Defense Against Multi-Stage Attacks Using Learning-Based POMDP. ACM Trans. Priv. Secur. 24(1): 6:1-6:25 (2020) - 2019
- [j20]Mohamad Abou Houran, Wenjie Chen, Minghui Zhu, Liyu Dai:
Economic Dispatch of Grid-Connected Microgrid for Smart Building Considering the Impact of Air Temperature. IEEE Access 7: 70332-70342 (2019) - [j19]Yang Lu, Minghui Zhu:
A control-theoretic perspective on cyber-physical privacy: Where data privacy meets dynamic systems. Annu. Rev. Control. 47: 423-440 (2019) - [j18]Zhisheng Hu, Minghui Zhu, Ping Chen, Peng Liu:
On convergence rates of game theoretic reinforcement learning algorithms. Autom. 104: 90-101 (2019) - 2018
- [j17]Yang Lu, Minghui Zhu:
Privacy preserving distributed optimization using homomorphic encryption. Autom. 96: 314-325 (2018) - [j16]Ping Chen, Zhisheng Hu, Jun Xu, Minghui Zhu, Peng Liu:
Feedback control can make data structure layout randomization more cost-effective under zero-day attacks. Cybersecur. 1(1): 3 (2018) - [j15]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Switching and Data Injection Attacks on Stochastic Cyber-Physical Systems: Modeling, Resilient Estimation, and Attack Mitigation. ACM Trans. Cyber Phys. Syst. 2(2): 9:1-9:2 (2018) - 2017
- [j14]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Simultaneous Input and State Estimation for Linear Time-Varying Continuous-Time Stochastic Systems. IEEE Trans. Autom. Control. 62(5): 2531-2538 (2017) - 2016
- [j13]Minghui Zhu, Emilio Frazzoli:
Distributed robust adaptive equilibrium computation for generalized convex games. Autom. 63: 82-91 (2016) - [j12]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
A unified filter for simultaneous input and state estimation of linear discrete-time stochastic systems. Autom. 63: 321-329 (2016) - 2015
- [j11]Minghui Zhu, Peng Liu:
Reviewing the book "Principles of Cyber-physical Systems" from a security perspective. EAI Endorsed Trans. Security Safety 2(4): e6 (2015) - 2014
- [j10]Jianxue Wang, Yanlin Cui, Minghui Zhu:
Probabilistic Harmonic Calculation in Distribution Networks with Electric Vehicle Charging Stations. J. Appl. Math. 2014: 167565:1-167565:11 (2014) - [j9]Minghui Zhu, Sonia Martínez:
On Attack-Resilient Distributed Formation Control in Operator-Vehicle Networks. SIAM J. Control. Optim. 52(5): 3176-3202 (2014) - [j8]Minghui Zhu, Sonia Martínez:
On the Performance Analysis of Resilient Networked Control Systems Under Replay Attacks. IEEE Trans. Autom. Control. 59(3): 804-808 (2014) - 2013
- [j7]Minghui Zhu, Sonia Martínez:
On distributed constrained formation control in operator-vehicle adversarial networks. Autom. 49(12): 3571-3582 (2013) - [j6]Minghui Zhu, Sonia Martínez:
Distributed Coverage Games for Energy-Aware Mobile Sensor Networks. SIAM J. Control. Optim. 51(1): 1-27 (2013) - [j5]Minghui Zhu, Sonia Martínez:
An Approximate Dual Subgradient Algorithm for Multi-Agent Non-Convex Optimization. IEEE Trans. Autom. Control. 58(6): 1534-1539 (2013) - 2012
- [j4]Minghui Zhu, Sonia Martínez:
On Distributed Convex Optimization Under Inequality and Equality Constraints. IEEE Trans. Autom. Control. 57(1): 151-164 (2012) - 2011
- [j3]Minghui Zhu, Sonia Martínez:
On the Convergence Time of Asynchronous Distributed Quantized Averaging Algorithms. IEEE Trans. Autom. Control. 56(2): 386-390 (2011) - 2010
- [j2]Minghui Zhu, Sonia Martínez:
Discrete-time dynamic average consensus. Autom. 46(2): 322-329 (2010) - 2006
- [j1]Jie Huang, Minghui Zhu:
Small Gain Theorem with Restrictions for Uncertain Time-varying Nonlinear Systems. Commun. Inf. Syst. 6(2): 115-136 (2006)
Conference and Workshop Papers
- 2024
- [c62]Shicheng Liu, Minghui Zhu:
Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis. ICLR 2024 - 2023
- [c61]Siyuan Xu, Minghui Zhu:
Efficient Gradient Approximation Method for Constrained Bilevel Optimization. AAAI 2023: 12509-12517 - [c60]Zhenyuan Yuan, Siyuan Xu, Minghui Zhu:
Federated reinforcement learning for generalizable motion planning. ACC 2023: 78-83 - [c59]Zhenyuan Yuan, Tongjia Zheng, Mollik Nayyar, Alan R. Wagner, Hai Lin, Minghui Zhu:
Multi-robot-assisted human crowd control for emergency evacuation: A stabilization approach. ACC 2023: 4051-4056 - [c58]Shicheng Liu, Minghui Zhu:
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations. NeurIPS 2023 - [c57]Siyuan Xu, Minghui Zhu:
Online Constrained Meta-Learning: Provable Guarantees for Generalization. NeurIPS 2023 - [c56]Mollik Nayyar, Ghanghoon Paik, Zhenyuan Yuan, Tongjia Zheng, Minghui Zhu, Hai Lin, Alan R. Wagner:
Characterizing Evacuee Behavior During a Robot-Guided Evacuation. SSRR 2023: 119-125 - 2022
- [c55]Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar, Alan R. Wagner, Minghui Zhu, Hai Lin:
Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields. CDC 2022: 2061-2066 - [c54]Zhenyuan Yuan, Minghui Zhu:
dSLAP: Distributed Safe Learning and Planning for Multi-robot Systems. CDC 2022: 5864-5869 - [c53]Shicheng Liu, Minghui Zhu:
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems. NeurIPS 2022 - [c52]Xu Zhang, Zhenyuan Yuan, Minghui Zhu:
Byzantine-tolerant federated Gaussian process regression for streaming data. NeurIPS 2022 - [c51]Siyuan Xu, Minghui Zhu:
Meta Value Learning for Fast Policy-Centric Optimal Motion Planning. Robotics: Science and Systems 2022 - 2021
- [c50]Xu Zhang, Zhenyuan Yuan, Siyuan Xu, Yang Lu, Minghui Zhu:
Secure perception-driven control of mobile robots using chaotic encryption. ACC 2021: 2575-2580 - [c49]Yang Lu, Yaohua Guo, Guoxiang Zhao, Minghui Zhu:
Distributed safe reinforcement learning for multi-robot motion planning. MED 2021: 1209-1214 - 2020
- [c48]Xu Zhang, Yang Lu, Minghui Zhu:
Attack detection of nonlinear distributed control systems. ACC 2020: 1459-1464 - [c47]Zhenyuan Yuan, Minghui Zhu:
Communication-aware Distributed Gaussian Process Regression Algorithms for Real-time Machine Learning. ACC 2020: 2197-2202 - [c46]Hunmin Kim, Pinyao Guo, Minghui Zhu, Peng Liu:
On Data-driven Attack-resilient Gaussian Process Regression for Dynamic Systems. ACC 2020: 2981-2986 - [c45]Yang Lu, Jianming Lian, Minghui Zhu:
Privacy-Preserving Transactive Energy System. ACC 2020: 3005-3010 - [c44]Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou:
Data-driven Distributed State Estimation and Behavior Modeling in Sensor Networks. IROS 2020: 8192-8199 - 2019
- [c43]Guoxiang Zhao, Minghui Zhu:
Scalable distributed algorithms for multi-robot near-optimal motion planning. CDC 2019: 226-231 - 2018
- [c42]Guoxiang Zhao, Minghui Zhu:
Pareto optimal multi-robot motion planning. ACC 2018: 4020-4025 - [c41]Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu:
RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots. DSN 2018: 574-585 - [c40]Minghui Zhu, Islem Rekik:
Multi-view Brain Network Prediction from a Source View Using Sample Selection via CCA-Based Multi-kernel Connectomic Manifold Learning. PRIME@MICCAI 2018: 94-102 - 2017
- [c39]Hunmin Kim, Pinyao Guo, Minghui Zhu, Peng Liu:
Attack-resilient estimation of switched nonlinear cyber-physical systems. ACC 2017: 4328-4333 - [c38]Zhisheng Hu, Minghui Zhu, Peng Liu:
Online Algorithms for Adaptive Cyber Defense on Bayesian Attack Graphs. MTD@CCS 2017: 99-109 - [c37]Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li:
An integrated design of optimization and physical dynamics for energy efficient buildings: A passivity approach. CCTA 2017: 1050-1057 - [c36]Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li:
Physics-integrated hierarchical/distributed HVAC optimization for multiple buildings with robustness against time delays. CDC 2017: 6573-6579 - [c35]Ping Chen, Jun Xu, Zhisheng Hu, Xinyu Xing, Minghui Zhu, Bing Mao, Peng Liu:
What You See is Not What You Get! Thwarting Just-in-Time ROP with Chameleon. DSN 2017: 451-462 - [c34]Pinyao Guo, Hunmin Kim, Le Guan, Minghui Zhu, Peng Liu:
VCIDS: Collaborative Intrusion Detection of Sensor and Actuator Attacks on Connected Vehicles. SecureComm 2017: 377-396 - 2016
- [c33]Nurali Virani, Minghui Zhu:
Robust adaptive motion planning in the presence of dynamic obstacles. ACC 2016: 2104-2109 - [c32]Devesh K. Jha, Minghui Zhu, Yebin Wang, Asok Ray:
Data-driven anytime algorithms for motion planning with safety guarantees. ACC 2016: 5716-5721 - [c31]Zhisheng Hu, Ping Chen, Yang Lu, Minghui Zhu, Peng Liu:
Towards a Science for Adaptive Defense: Revisit Server Protection. CIC 2016: 112-121 - 2015
- [c30]Minghui Zhu, Yang Lu:
On confidentiality preserving monitoring of linear dynamic networks against inference attacks. ACC 2015: 359-364 - [c29]Hunmin Kim, Minghui Zhu:
Distributed robust frequency regulation of smart power grid with renewable integration. ACC 2015: 2347-2352 - [c28]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Simultaneous input and state estimation for linear time-invariant continuous-time stochastic systems with unknown inputs. ACC 2015: 2511-2518 - [c27]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Simultaneous input and state estimation of linear discrete-time stochastic systems with input aggregate information. CDC 2015: 461-467 - [c26]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Simultaneous input and state estimation with a delay. CDC 2015: 468-475 - [c25]Hunmin Kim, Minghui Zhu:
Optimal incentive design for distributed stabilizing control of nonlinear dynamic networks. CDC 2015: 2289-2294 - [c24]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Resilient state estimation against switching attacks on stochastic cyber-physical systems. CDC 2015: 5162-5169 - 2014
- [c23]Minghui Zhu, Zhisheng Hu, Peng Liu:
Reinforcement Learning Algorithms for Adaptive Cyber Defense against Heartbleed. MTD@CCS 2014: 51-58 - [c22]Jun Xu, Pinyao Guo, Mingyi Zhao, Robert F. Erbacher, Minghui Zhu, Peng Liu:
Comparing Different Moving Target Defense Techniques. MTD@CCS 2014: 97-107 - [c21]Minghui Zhu, Na Li:
Stability constrained incentive design for distributed frequency control of power grid. CDC 2014: 2487-2492 - [c20]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Generalized innovation and inference algorithms for hidden mode switched linear stochastic systems with unknown inputs. CDC 2014: 3388-3394 - [c19]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Simultaneous input and state smoothing for linear discrete-time stochastic systems with unknown inputs. CDC 2014: 4204-4209 - [c18]Minghui Zhu, Michael W. Otte, Pratik Chaudhari, Emilio Frazzoli:
Game theoretic controller synthesis for multi-robot motion planning Part I: Trajectory based algorithms. ICRA 2014: 1646-1651 - 2013
- [c17]Minghui Zhu, Emilio Frazzoli:
Real-time game theoretic coordination of competitive mobility-on-demand systems. ACC 2013: 1314-1319 - [c16]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Simultaneous input and state estimation for linear discrete-time stochastic systems with direct feedthrough. CDC 2013: 7034-7039 - [c15]Erich Mueller, Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Anytime computation algorithms for stochastically parametric approach-evasion differential games. IROS 2013: 3816-3821 - 2012
- [c14]Minghui Zhu, Sonia Martínez:
On resilient consensus against replay attacks in operator-vehicle networks. ACC 2012: 3553-3558 - [c13]Minghui Zhu, Emilio Frazzoli:
On distributed equilibrium seeking for generalized convex games. CDC 2012: 4858-4863 - [c12]Minghui Zhu, Emilio Frazzoli:
On competitive search games for multiple vehicles. CDC 2012: 5798-5803 - 2011
- [c11]Minghui Zhu, Sonia Martínez:
Stackelberg-game analysis of correlated attacks in cyber-physical systems. ACC 2011: 4063-4068 - [c10]Minghui Zhu, Sonia Martínez:
Attack-resilient distributed formation control via online adaptation. CDC/ECC 2011: 6624-6629 - 2010
- [c9]Minghui Zhu, Sonia Martínez:
On distributed optimization under inequality and equality constraints via penalty primal-dual methods. ACC 2010: 2434-2439 - [c8]Minghui Zhu, Sonia Martínez:
On distributed optimization under inequality constraints via Lagrangian primal-dual methods. ACC 2010: 4863-4868 - [c7]Teymur Sadikhov, Minghui Zhu, Sonia Martínez:
A distributed joint-learning and auction algorithm for target assignment. CDC 2010: 5450-5455 - [c6]Minghui Zhu, Sonia Martínez:
An approximate dual subgradient algorithm for multi-agent non-convex optimization. CDC 2010: 7487-7492 - 2009
- [c5]Minghui Zhu, Sonia Martínez:
Distributed coverage games for mobile visual sensors (I): Reaching the set of Nash equilibria. CDC 2009: 169-174 - [c4]Minghui Zhu, Sonia Martínez:
Distributed coverage games for mobile visual sensors (II) : Reaching the set of global optima. CDC 2009: 175-180 - 2008
- [c3]Minghui Zhu, Sonia Martínez:
Dynamic average consensus on synchronous communication networks. ACC 2008: 4382-4387 - [c2]Minghui Zhu, Sonia Martínez:
On the convergence time of distributed quantized averaging algorithms. CDC 2008: 3971-3976 - 2006
- [c1]Minghui Zhu, Jie Huang:
Semi-global robust stabilization of a class of feedforward systems. ACC 2006
Parts in Books or Collections
- 2019
- [p3]George Cybenko, Michael P. Wellman, Peng Liu, Minghui Zhu:
Overview of Control and Game Theory in Adaptive Cyber Defenses. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 1-11 - [p2]Zhisheng Hu, Ping Chen, Minghui Zhu, Peng Liu:
Reinforcement Learning for Adaptive Cyber Defense Against Zero-Day Attacks. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 54-93 - [p1]Ping Chen, Zhisheng Hu, Jun Xu, Minghui Zhu, Rob Erbacher, Sushil Jajodia, Peng Liu:
MTD Techniques for Memory Protection Against Zero-Day Attacks. Adversarial and Uncertain Reasoning for Adaptive Cyber Defense 2019: 129-155
Informal and Other Publications
- 2024
- [i24]Guoxiang Zhao, Devesh K. Jha, Yebin Wang, Minghui Zhu:
iPolicy: Incremental Policy Algorithms for Feedback Motion Planning. CoRR abs/2401.02883 (2024) - [i23]Zhenyuan Yuan, Siyuan Xu, Minghui Zhu:
Federated reinforcement learning for robot motion planning with zero-shot generalization. CoRR abs/2403.13245 (2024) - 2023
- [i22]Siyuan Xu, Minghui Zhu:
Efficient Gradient Approximation Method for Constrained Bilevel Optimization. CoRR abs/2302.01970 (2023) - [i21]Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar, Alan R. Wagner, Minghui Zhu, Hai Lin:
Multi-Robot-Guided Crowd Evacuation: Two-Scale Modeling and Control Based on Mean-Field Hydrodynamic Models. CoRR abs/2302.14752 (2023) - [i20]Mollik Nayyar, Ghanghoon Paik, Zhenyuan Yuan, Tongjia Zheng, Minghui Zhu, Hai Lin, Alan R. Wagner:
Learning Evacuee Models from Robot-Guided Emergency Evacuation Experiments. CoRR abs/2306.17824 (2023) - 2022
- [i19]Zhenyuan Yuan, Minghui Zhu:
Distributed Safe Learning and Planning for Multi-robot Systems. CoRR abs/2207.07824 (2022) - [i18]Tongjia Zheng, Zhenyuan Yuan, Mollik Nayyar, Alan R. Wagner, Minghui Zhu, Hai Lin:
Multi-Robot-Assisted Human Crowd Evacuation using Navigation Velocity Fields. CoRR abs/2209.09795 (2022) - 2021
- [i17]Zhenyuan Yuan, Minghui Zhu:
Resource-aware Distributed Gaussian Process Regression for Real-time Machine Learning. CoRR abs/2105.04738 (2021) - 2020
- [i16]Yang Lu, Jianming Lian, Minghui Zhu, Ke Ma, Wei Zhang:
Cyber-Resilient Transactive Energy System Design over Insecure Communication Links. CoRR abs/2008.00152 (2020) - [i15]Rui Yu, Zhenyuan Yuan, Minghui Zhu, Zihan Zhou:
Data-Driven Distributed State Estimation and Behavior Modeling in Sensor Networks. CoRR abs/2009.10827 (2020) - 2019
- [i14]Hunmin Kim, Minghui Zhu:
Optimal Bi-level Lottery Design for Multi-agent Systems. CoRR abs/1907.07867 (2019) - [i13]Yang Lu, Minghui Zhu:
On privacy preserving data release of linear dynamic networks. CoRR abs/1912.07641 (2019) - 2018
- [i12]Guoxiang Zhao, Minghui Zhu:
Pareto optimal multi-robot motion planning. CoRR abs/1802.09099 (2018) - [i11]Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu:
Nonlinear Unknown Input and State Estimation Algorithm in Mobile Robots. CoRR abs/1804.02814 (2018) - [i10]Yang Lu, Minghui Zhu:
Privacy preserving distributed optimization using homomorphic encryption. CoRR abs/1805.00572 (2018) - [i9]Xusheng Li, Zhisheng Hu, Yiwei Fu, Ping Chen, Minghui Zhu, Peng Liu:
ROPNN: Detection of ROP Payloads Using Deep Neural Networks. CoRR abs/1807.11110 (2018) - 2017
- [i8]Takeshi Hatanaka, Xuan Zhang, Wenbo Shi, Minghui Zhu, Na Li:
An Integrated Design of Optimization and Physical Dynamics for Energy Efficient Buildings: A Passivity Approach. CoRR abs/1701.05577 (2017) - [i7]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Switching and Data Injection Attacks on Stochastic Cyber-Physical Systems: Modeling, Resilient Estimation and Attack Mitigation. CoRR abs/1707.07112 (2017) - [i6]Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu, Minghui Zhu, Peng Liu:
Exploiting Physical Dynamics to Detect Actuator and Sensor Attacks in Mobile Robots. CoRR abs/1708.01834 (2017) - 2016
- [i5]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
Simultaneous Mode, Input and State Estimation for Switched Linear Stochastic Systems. CoRR abs/1606.08323 (2016) - 2015
- [i4]Hunmin Kim, Minghui Zhu:
Distributed Robust Adaptive Frequency Regulation of Power Grid with Renewable Integration. CoRR abs/1510.05071 (2015) - 2014
- [i3]Minghui Zhu, Michael W. Otte, Pratik Chaudhari, Emilio Frazzoli:
Game theoretic controller synthesis for multi-robot motion planning Part I : Trajectory based algorithms. CoRR abs/1402.2708 (2014) - 2013
- [i2]Sze Zheng Yong, Minghui Zhu, Emilio Frazzoli:
A Unified Framework for Simultaneous Input and State Estimation of Linear Discrete-time Stochastic Systems. CoRR abs/1309.6627 (2013) - 2010
- [i1]Minghui Zhu, Sonia Martínez:
On distributed convex optimization under inequality and equality constraints via primal-dual subgradient methods. CoRR abs/1001.2612 (2010)
Coauthor Index
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