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2020 – today
- 2023
[j57]Venkatraman Renganathan
, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers:
Risk bounded nonlinear robot motion planning with integrated perception & control. Artif. Intell. 314: 103812 (2023)- [j56]Elad Michael, Chris Manzie, Tony A. Wood, Daniel Zelazo, Iman Shames:
Gradient free cooperative seeking of a moving source. Autom. 152: 110948 (2023) - [j55]Valeri A. Ugrinovskii, Ian R. Petersen, Iman Shames:
A robust control approach to asymptotic optimality of the heavy ball method for optimization of quadratic functions. Autom. 155: 111129 (2023) - [j54]Farhad Farokhi, Alex S. Leong, Mohammad Zamani, Iman Shames:
Learning Safety Filters for Unknown Discrete-Time Linear Systems. IEEE Control. Syst. Lett. 7: 1843-1848 (2023) - [c78]Oliver Biggar, Iman Shames:
The Replicator Dynamic, Chain Components and the Response Graph. ALT 2023: 237-258 - [c77]Farhad Farokhi, Alex S. Leong, Iman Shames, Mohammad Zamani:
A Computationally-Friendly Data-Driven Safety Filter for Control-Affine Discrete-Time Systems Subject to Unknown Process Noise. ACC 2023: 3951-3956 - [c76]Yitian Chen, Timothy L. Molloy, Tyler H. Summers, Iman Shames:
Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking. L4DC 2023: 248-258 - [i64]Oliver Biggar, Iman Shames:
The Attractor of the Replicator Dynamic in Zero-Sum Games. CoRR abs/2302.00253 (2023) - [i63]Yitian Chen, Timothy L. Molloy, Tyler H. Summers, Iman Shames:
Regret Analysis of Online LQR Control via Trajectory Prediction and Tracking: Extended Version. CoRR abs/2302.10411 (2023) - [i62]Emilien Flayac, Iman Shames:
Distributed Block Coordinate Moving Horizon Estimation for 2D Visual-Inertial-Odometry SLAM. CoRR abs/2304.01613 (2023) - [i61]Valery A. Ugrinovskii, Ian R. Petersen, Iman Shames:
A Robust Control Approach to Asymptotic Optimality of the Heavy Ball Method for Optimization of Quadratic Functions. CoRR abs/2305.06593 (2023) - [i60]Jean-Luc Lupien, Iman Shames, Antoine Lesage-Landry:
Online Interior-point Methods for Time-varying Equality-constrained Optimization. CoRR abs/2307.16128 (2023) - 2022
- [j53]Mitchell Khoo, Tony A. Wood, Chris Manzie, Iman Shames:
A greedy and distributable approach to the Lexicographic Bottleneck Assignment Problem with conditions on exactness. Autom. 140: 110240 (2022) - [j52]Valeri A. Ugrinovskii, Ian R. Petersen, Iman Shames:
Global Convergence and Asymptotic Optimality of the Heavy Ball Method for a Class of Nonconvex Optimization Problems. IEEE Control. Syst. Lett. 6: 2449-2454 (2022) - [j51]Elad Michael, Tony A. Wood, Chris Manzie, Iman Shames:
Sensitivity analysis for bottleneck assignment problems. Eur. J. Oper. Res. 303(1): 159-167 (2022) - [j50]Alejandro I. Maass, Chris Manzie, Dragan Nesic, Jonathan H. Manton, Iman Shames:
Tracking and Regret Bounds for Online Zeroth-Order Euclidean and Riemannian Optimization. SIAM J. Optim. 32(2): 445-469 (2022) - [j49]Alex S. Leong, Mohammad Zamani, Iman Shames:
A Logistic Regression Approach to Field Estimation Using Binary Measurements. IEEE Signal Process. Lett. 29: 1848-1852 (2022) - [j48]Oliver Biggar, Mohammad Zamani, Iman Shames:
On Modularity in Reactive Control Architectures, with an Application to Formal Verification. ACM Trans. Cyber Phys. Syst. 6(2): 19:1-19:36 (2022) - [j47]Daniel Selvaratnam, Michael Cantoni, J. M. Davoren, Iman Shames:
Sampling polynomial trajectories for LTL verification. Theor. Comput. Sci. 897: 135-163 (2022) - [j46]Alejandro I. Maass, Chris Manzie, Iman Shames, Hayato Nakada:
Zeroth-Order Optimization on Subsets of Symmetric Matrices With Application to MPC Tuning. IEEE Trans. Control. Syst. Technol. 30(4): 1654-1667 (2022) - [c75]Sleiman Safaoui, Lars Lindemann, Iman Shames, Tyler H. Summers:
Risk-Bounded Temporal Logic Control of Continuous-Time Stochastic Systems. ACC 2022: 1555-1562 - [c74]Tyler H. Summers, Karthik Ganapathy, Iman Shames, Mathias Hudoba de Badyn:
Self-Tuning Network Control Architectures. CDC 2022: 5876-5881 - [c73]Mahdi Taheri, Khashayar Khorasani, Nader Meskin, Iman Shames:
Data-Driven Koopman Operator Based Cyber-Attacks for Nonlinear Control Affine Cyber-Physical Systems. CDC 2022: 6769-6775 - [c72]Daniel Selvaratnam, Michael Cantoni, J. M. Davoren, Iman Shames:
MITL Verification Under Timing Uncertainty. FORMATS 2022: 136-152 - [c71]Elad Michael, Tyler H. Summers, Tony A. Wood, Chris Manzie, Iman Shames:
Probabilistic Data Association for Semantic SLAM at Scale. IROS 2022: 4359-4364 - [c70]Benjamin Gravell, Iman Shames, Tyler H. Summers:
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise. L4DC 2022: 650-662 - [i59]Venkatraman Renganathan, Sleiman Safaoui, Aadi Kothari, Benjamin Gravell, Iman Shames, Tyler H. Summers:
Risk Bounded Nonlinear Robot Motion Planning With Integrated Perception & Control. CoRR abs/2201.01483 (2022) - [i58]Yankai Lin, Iman Shames, Dragan Nesic:
Online Convex Optimization Using Coordinate Descent Algorithms. CoRR abs/2201.10017 (2022) - [i57]Valery A. Ugrinovskii, Ian R. Petersen, Iman Shames:
Global convergence and optimality of the heavy ball method for non-convex optimization. CoRR abs/2202.02914 (2022) - [i56]Elad Michael, Tyler H. Summers, Tony A. Wood, Chris Manzie, Iman Shames:
Probabilistic Data Association for Semantic SLAM at Scale. CoRR abs/2202.12802 (2022) - [i55]Sleiman Safaoui, Lars Lindemann, Iman Shames, Tyler H. Summers:
Risk-Bounded Temporal Logic Control of Continuous-Time Stochastic Systems. CoRR abs/2204.04310 (2022) - [i54]Daniel Selvaratnam, Michael Cantoni, J. M. Davoren, Iman Shames:
MITL Verification Under Timing Uncertainty. CoRR abs/2204.10493 (2022) - [i53]Benjamin Gravell, Iman Shames, Tyler H. Summers:
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise. CoRR abs/2205.05119 (2022) - [i52]Oliver Biggar, Iman Shames:
The graph structure of two-player games. CoRR abs/2209.10182 (2022) - [i51]Oliver Biggar, Iman Shames:
The Replicator Dynamic, Chain Components and the Response Graph. CoRR abs/2209.15230 (2022) - [i50]Timothy L. Molloy, Iman Shames:
Minimum-Time Escape from a Circular Region for a Dubins Car. CoRR abs/2211.01706 (2022) - 2021
- [j45]Alex S. Ira, Chris Manzie, Iman Shames, Robert Chin, Dragan Nesic, Hayato Nakada, Takeshi Sano:
Tuning of multivariable model predictive controllers through expert bandit feedback. Int. J. Control 94(10): 2650-2658 (2021) - [j44]Oliver Biggar, Mohammad Zamani, Iman Shames:
An Expressiveness Hierarchy of Behavior Trees and Related Architectures. IEEE Robotics Autom. Lett. 6(3): 5397-5404 (2021) - [j43]Antoine Lesage-Landry, Joshua A. Taylor, Iman Shames:
Second-Order Online Nonconvex Optimization. IEEE Trans. Autom. Control. 66(10): 4866-4872 (2021) - [j42]Yankai Lin, Iman Shames, Dragan Nesic:
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. IEEE Trans. Control. Netw. Syst. 8(3): 1348-1359 (2021) - [j41]Adair Lang, Michael Cantoni, Farhad Farokhi, Iman Shames:
Rigid-Profile Input Scheduling Under Constrained Dynamics With a Water Network Application. IEEE Trans. Control. Syst. Technol. 29(6): 2457-2472 (2021) - [j40]Andrei Pavlov, Iman Shames, Chris Manzie:
Interior Point Differential Dynamic Programming. IEEE Trans. Control. Syst. Technol. 29(6): 2720-2727 (2021) - [j39]Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic, H. Vincent Poor:
On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach. IEEE Trans. Inf. Forensics Secur. 16: 2608-2620 (2021) - [c69]Luis Cuevas, Miquel Ramírez, Iman Shames, Chris Manzie:
Path Planning under Risk and Uncertainty of the Environment. ACC 2021: 4231-4236 - [c68]Emilien Flayac, Girish N. Nair, Iman Shames:
Nonlinear Dual control based on Fast Moving Horizon estimation and Model Predictive Control with an observability constraint. CDC 2021: 3030-3035 - [c67]Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Data-Driven Covert-Attack Strategies and Countermeasures for Cyber-Physical Systems. CDC 2021: 4170-4175 - [c66]Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Towards Privacy Preserving Consensus Control in Multi-Agent Cyber-Physical Systems Subject to Cyber Attacks. ECC 2021: 939-945 - [c65]Benjamin Gravell, Iman Shames, Tyler H. Summers:
Approximate Midpoint Policy Iteration for Linear Quadratic Control. L4DC 2021: 1080-1092 - [i49]Yankai Lin, Iman Shames, Dragan Nesic:
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Subgradient Methods. CoRR abs/2102.07953 (2021) - [i48]Robert Chin, Chris Manzie, Iman Shames, Dragan Nesic, Jonathan E. Rowe:
A Sequential Learning Algorithm for Probabilistically Robust Controller Tuning. CoRR abs/2102.09738 (2021) - [i47]Farhad Farokhi, Alex S. Leong, Iman Shames, Mohammad Zamani:
Safe Learning of Uncertain Environments for Nonlinear Control-Affine Systems. CoRR abs/2103.01413 (2021) - [i46]Oliver Biggar, Mohammad Zamani, Iman Shames:
An expressiveness hierarchy of Behavior Trees and related architectures. CoRR abs/2104.07919 (2021) - [i45]Daniel Selvaratnam, Michael Cantoni, J. M. Davoren, Iman Shames:
Sampling Polynomial Trajectories for LTL Verification. CoRR abs/2104.08980 (2021) - [i44]Declan Burke, Airlie Chapman, Iman Shames:
Fast Spline Trajectory Planning: Minimum Snap and Beyond. CoRR abs/2105.01788 (2021) - [i43]Tony A. Wood, Mitchell Khoo, Elad Michael, Chris Manzie, Iman Shames:
Temporal Logic Planning for Minimum-Time Positioning of Multiple Threat-Seduction Decoys. CoRR abs/2106.09252 (2021) - [i42]Junsoo Kim, Farhad Farokhi, Iman Shames, Hyungbo Shim:
Toward nonlinear dynamic control over encrypted data for infinite time horizon. CoRR abs/2110.06270 (2021) - [i41]Farhad Farokhi, Alex S. Leong, Mohammad Zamani, Iman Shames:
Safe Learning of Linear Time-Invariant Systems. CoRR abs/2111.00631 (2021) - [i40]Oliver Biggar, Mohammad Zamani, Iman Shames:
Modular Decomposition of Hierarchical Finite State Machines. CoRR abs/2111.04902 (2021) - 2020
- [j38]Andrei Pavlov, Iman Shames, Chris Manzie:
Minimax strategy in approximate model predictive control. Autom. 111 (2020) - [j37]Antoine Lesage-Landry, Iman Shames, Joshua A. Taylor:
Predictive online convex optimization. Autom. 113: 108771 (2020) - [j36]Carlos Murguia, Iman Shames, Justin Ruths, Dragan Nesic:
Security metrics and synthesis of secure control systems. Autom. 115: 108757 (2020) - [j35]Iman Shames, Daniel Selvaratnam, Jonathan H. Manton:
Online Optimization Using Zeroth Order Oracles. IEEE Control. Syst. Lett. 4(1): 31-36 (2020) - [j34]Sleiman Safaoui, Lars Lindemann, Dimos V. Dimarogonas, Iman Shames, Tyler H. Summers:
Control Design for Risk-Based Signal Temporal Logic Specifications. IEEE Control. Syst. Lett. 4(4): 1000-1005 (2020) - [j33]Farhad Farokhi, Iman Shames, Karl Henrik Johansson:
Private routing and ride-sharing using homomorphic encryption. IET Cyper-Phys. Syst.: Theory & Appl. 5(4): 311-320 (2020) - [j32]Michael Cantoni, Farhad Farokhi, Eric C. Kerrigan, Iman Shames:
Structured computation of optimal controls for constrained cascade systems. Int. J. Control 93(1): 30-39 (2020) - [j31]Farhad Farokhi, Iman Shames, Michael Cantoni:
Optimal contract design for effort-averse sensors. Int. J. Control 93(3): 738-745 (2020) - [j30]Tony A. Wood, Mitchell Khoo, Elad Michael, Chris Manzie, Iman Shames:
Collision Avoidance Based on Robust Lexicographic Task Assignment. IEEE Robotics Autom. Lett. 5(4): 5693-5700 (2020) - [j29]Carlos Murguia, Farhad Farokhi, Iman Shames:
Secure and Private Implementation of Dynamic Controllers Using Semihomomorphic Encryption. IEEE Trans. Autom. Control. 65(9): 3950-3957 (2020) - [j28]Antoine Lesage-Landry, Han Wang, Iman Shames, Pierluigi Mancarella, Joshua A. Taylor:
Online Convex Optimization of Multi-Energy Building-to-Grid Ancillary Services. IEEE Trans. Control. Syst. Technol. 28(6): 2416-2431 (2020) - [j27]Meng Yuan, Chris Manzie, Malcolm C. Good, Iman Shames, Lu Gan, Farzad Keynejad, Troy Robinette:
Error-Bounded Reference Tracking MPC for Machines With Structural Flexibility. IEEE Trans. Ind. Electron. 67(10): 8143-8154 (2020) - [j26]Iman Shames, Tyler H. Summers:
Corrections to "Rigid Network Design Via Submodular Set Function Optimization". IEEE Trans. Netw. Sci. Eng. 7(3): 2114 (2020) - [c64]Elad Michael, Tony A. Wood, Chris Manzie, Iman Shames:
Global Sensitivity Analysis for the Linear Assignment Problem. ACC 2020: 3387-3392 - [c63]Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Mitigation and Resiliency of Multi-Agent Systems Subject to Malicious Cyber Attacks on Communication Links. CCTA 2020: 857-862 - [c62]Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Undetectable Cyber Attacks on Communication Links in Multi-Agent Cyber-Physical Systems. CDC 2020: 3764-3771 - [c61]Elad Michael, Daniel Zelazo, Tony A. Wood, Chris Manzie, Iman Shames:
Optimisation with Zeroth-Order Oracles in Formation. CDC 2020: 5354-5359 - [c60]Declan Burke, Airlie Chapman, Iman Shames:
Generating Minimum-Snap Quadrotor Trajectories Really Fast. IROS 2020: 1487-1492 - [i39]Venkatraman Renganathan, Iman Shames, Tyler H. Summers:
Towards Integrated Perception and Motion Planning with Distributionally Robust Risk Constraints. CoRR abs/2002.02928 (2020) - [i38]Alex S. Ira, Chris Manzie, Iman Shames, Robert Chin, Dragan Nesic, Hayato Nakada, Takeshi Sano:
Tuning of multivariable model predictive controllersthrough expert bandit feedback. CoRR abs/2002.03484 (2020) - [i37]Tony A. Wood, Mitchell Khoo, Elad Michael, Chris Manzie, Iman Shames:
Collision Avoidance Based on Robust Lexicographic Task Assignment. CoRR abs/2002.11247 (2020) - [i36]Andrei Pavlov, Iman Shames, Chris Manzie:
Interior Point Differential Dynamic Programming. CoRR abs/2004.12710 (2020) - [i35]Robert Chin, Alejandro I. Maass, Nalika Ulapane, Chris Manzie, Iman Shames, Dragan Nesic, Jonathan E. Rowe, Hayato Nakada:
Active Learning for Linear Parameter-Varying System Identification. CoRR abs/2005.00711 (2020) - [i34]Sleiman Safaoui, Lars Lindemann, Dimos V. Dimarogonas, Iman Shames, Tyler H. Summers:
Control Design for Risk-Based Signal Temporal Logic Specifications. CoRR abs/2006.00317 (2020) - [i33]Iman Shames, Farhad Farokhi:
Online Stochastic Convex Optimization: Wasserstein Distance Variation. CoRR abs/2006.01397 (2020) - [i32]Elad Michael, Daniel Zelazo, Tony A. Wood, Chris Manzie, Iman Shames:
Optimization with Zeroth-Order Oracles in Formation. CoRR abs/2007.15680 (2020) - [i31]Declan Burke, Airlie Chapman, Iman Shames:
Generating Minimum-Snap Quadrotor Trajectories Really Fast. CoRR abs/2008.00595 (2020) - [i30]Oliver Biggar, Mohammad Zamani, Iman Shames:
A principled analysis of Behavior Trees and their generalisations. CoRR abs/2008.11906 (2020) - [i29]Oliver Biggar, Mohammad Zamani, Iman Shames:
On modularity in reactive control architectures, with an application to formal verification. CoRR abs/2008.12515 (2020) - [i28]Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Undetectable Cyber Attacks on Communication Links in Multi-Agent Cyber-Physical Systems. CoRR abs/2009.06173 (2020) - [i27]Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Mitigation and Resiliency of Multi-Agent Systems Subject to Malicious Cyber Attacks on Communication Links. CoRR abs/2009.06181 (2020) - [i26]Mahdi Taheri, Khashayar Khorasani, Iman Shames, Nader Meskin:
Cyber Attack and Machine Induced Fault Detection and Isolation Methodologies for Cyber-Physical Systems. CoRR abs/2009.06196 (2020) - [i25]Mitchell Khoo, Tony A. Wood, Chris Manzie, Iman Shames:
A Distributed Augmenting Path Approach for the Bottleneck Assignment Problem. CoRR abs/2011.09606 (2020) - [i24]Benjamin Gravell, Iman Shames, Tyler H. Summers:
Approximate Midpoint Policy Iteration for Linear Quadratic Control. CoRR abs/2011.14212 (2020)
2010 – 2019
- 2019
- [j25]Mohammad Deghat, Valery A. Ugrinovskii, Iman Shames, Cédric Langbort:
Detection and mitigation of biasing attacks on distributed estimation networks. Autom. 99: 369-381 (2019) - [c59]Zhiyang Ju, Iman Shames, Dragan Nesic:
Communication Connectivity in Multi-agent Systems with Multiple Uncooperative Agents. ASCC 2019: 673-678 - [c58]Meng Yuan, Chris Manzie, Lu Gan, Malcolm C. Good, Iman Shames:
Modelling and Contouring Error Bounded Control of a Biaxial Industrial Gantry Machine. CCTA 2019: 388-393 - [c57]Wei Wang, Dragan Nesic, Romain Postoyan, Iman Shames, W. P. Maurice H. Heemels:
State-feedback event-holding control for nonlinear systems. CDC 2019: 1650-1655 - [c56]Mitchell Khoo, Tony A. Wood, Chris Manzie, Iman Shames:
Distributed Algorithm for Solving the Bottleneck Assignment Problem. CDC 2019: 1850-1855 - [c55]Hasan Arshad Nasir, Erik Weyer, Iman Shames, Michael Cantoni:
Towards Redundant Constraint Removal in Scenario Approximation of Optimal Control Problems with Multiplicative Model Uncertainty. CDC 2019: 3377-3382 - [c54]Yankai Lin, Iman Shames, Dragan Nesic:
Asynchronous Distributed Optimization via Dual Decomposition and Block Coordinate Ascent. CDC 2019: 6380-6385 - [c53]Andrei Pavlov, Iman Shames, Chris Manzie:
Early Termination of NMPC Interior Point Solvers: Relating the Duality Gap to Stability. ECC 2019: 805-810 - [c52]Elad Michael, Tony A. Wood, Chris Manzie, Iman Shames:
Uncertainty Intervals for Robust Bottleneck Assignment. ECC 2019: 4204-4209 - [c51]Meng Yuan, Chris Manzie, Malcolm C. Good, Iman Shames, Farzad Keynejad, Troy Robinette:
Bounded Error Tracking Control for Contouring Systems with End Effector Measurements. ICIT 2019: 66-71 - [i23]Julian Tran, Farhad Farokhi, Michael Cantoni, Iman Shames:
Implementing Homomorphic Encryption Based Secure Feedback Control for Physical Systems. CoRR abs/1902.06899 (2019) - [i22]Antoine Lesage-Landry, Iman Shames, Joshua A. Taylor:
Predictive Online Convex Optimization. CoRR abs/1905.06263 (2019) - [i21]Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic:
Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise. CoRR abs/1906.00577 (2019) - [i20]Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic, H. Vincent Poor:
On Privacy of Dynamical Systems: An Optimal Probabilistic Mapping Approach. CoRR abs/1910.13559 (2019) - 2018
- [j24]Moritz Schulze Darup, Adrian Redder, Iman Shames, Farhad Farokhi, Daniel E. Quevedo:
Towards Encrypted MPC for Linear Constrained Systems. IEEE Control. Syst. Lett. 2(2): 195-200 (2018) - [j23]Mark A. Fabbro, Iman Shames, Michael Cantoni:
Analysis of Model and Iteration Dependencies in Distributed Feasible-Point Algorithms for Optimal Control Computation. IEEE Trans. Control. Netw. Syst. 5(1): 186-193 (2018) - [c50]Farhad Farokhi, Iman Shames:
Compressive Sensing in Fault Detection. ACC 2018: 159-164 - [c49]Daniel D. Selvaratnam, Iman Shames, Jonathan H. Manton, Mohammad Zamani:
Numerical Optimisation of Time-Varying Strongly Convex Functions Subject to Time-Varying Constraints. CDC 2018: 849-854 - [c48]Robert Chin, Chris Manzie, Alex S. Ira, Dragan Nesic, Iman Shames:
Gaussian Processes with Monotonicity Constraints for Preference Learning from Pairwise Comparisons. CDC 2018: 1150-1155 - [c47]Wei Wang, Dragan Nesic, Iman Shames:
Periodic event-triggered supervisory control of nonlinear systems: dwell-time switching logic. CDC 2018: 2035-2040 - [c46]Carlos Murguia, Iman Shames, Farhad Farokhi, Dragan Nesic:
On Privacy of Quantized Sensor Measurements through Additive Noise. CDC 2018: 2531-2536 - [c45]Yankai Lin, Farhad Farokhi, Iman Shames, Dragan Nesic:
Secure Control of Nonlinear Systems Using Semi-Homomorphic Encryption. CDC 2018: 5002-5007 - [c44]Farhad Farokhi, Iman Shames:
Bilateral Trade Under Information Asymmetry and Quantized Measurements. CDC 2018: 5832-5837 - [c43]Alex S. Ira, Iman Shames, Chris Manzie, Robert Chin, Dragan Nesic, Hayato Nakada, Takeshi Sano:
A Machine Learning Approach for Tuning Model Predictive Controllers. ICARCV 2018: 2003-2008 - [i19]Carlos Murguia, Iman Shames, Justin Ruths, Dragan Nesic:
Security Metrics of Networked Control Systems under Sensor Attacks (extended preprint). CoRR abs/1809.01808 (2018) - [i18]