N. Matni

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Learning Stability Certificates from Data pdf

Nikolai Matni, Jean-Jacques E. Slotine, Stephen Tu, 2020, CoRL.

On the Sample Complexity of the Linear Quadratic Regulator pdf

Nikolai Matni, Benjamin Recht, Horia Mania, 2017, Foundations of Computational Mathematics.

Structured state space realizations for SLS distributed controllers

Nikolai Matni, James Anderson, N. Matni, 2017, 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Localized Distributed Kalman Filters for Large-Scale Systems

N. Matni, Yuh-Shyang Wang, Seungil You, 2015 .

Action for Better Prediction pdf

Nikolai Matni, Kostas Daniilidis, Karl Schmeckpeper, 2020, ArXiv.

Sample Complexity of Kalman Filtering for Unknown Systems

George J. Pappas, Nikolai Matni, Anastasios Tsiamis, 2019, L4DC.

Learning Sparse Dynamical Systems from a Single Sample Trajectory

Nikolai Matni, Salar Fattahi, Somayeh Sojoudi, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Robust Distributed and Localized Model Predictive Control

Nikolai Matni, Carmen Amo Alonso, Jing Shuang Li, 2021, 2103.14171.

Explicit Distributed and Localized Model Predictive Control via System Level Synthesis

Carmen Amo Alonso, N. Matni, 2019, 2020 59th IEEE Conference on Decision and Control (CDC).

Safely Learning to Control the Linear Quadratic Regulator

Stephen Tu, N. Matni, B. Recht, 2019 .

A System-Level Approach to Controller Synthesis

Nikolai Matni, John Doyle, Yuh Shyang Wang, 2016, IEEE Transactions on Automatic Control.

Distributed Control Subject to Delays Satisfying an $\mathcal{H}_\infty$ Norm Bound

Nikolai Matni, N. Matni, 2014 .

PAC CONFIDENCE SETS FOR DEEP NEURAL NET-

N. Matni, Osbert Bastani, Works Via, 2020 .

A Convex Approach to Sparse H 1 Analysis & Synthesis

N. Matni, Seungil You, 2015 .

Distributed Optimal Control of Cyber-Physical Systems: Controller Synthesis, Architecture Design and System Identification

N. Matni, 2016 .

Complexity of ` 1 Optimal Controllers for Simple Systems

J. Doyle, N. Matni, Yorie Nakahira, 2022 .

Optimal Control for Large-Scale Systems

N. Matni, Yuh-Shyang Wang, 2015 .

Learning to Control Linear Systems can be Hard

George J. Pappas, M. Morari, N. Matni, 2022, COLT.

TaSIL: Taylor Series Imitation Learning

Stephen Tu, N. Matni, Daniel Pfrommer, 2022, ArXiv.

Risk of Stochastic Systems for Temporal Logic Specifications

George J. Pappas, N. Matni, Lars Lindemann, 2022, ACM Trans. Embed. Comput. Syst..

A Convex Approach to Sparse H infinity Analysis & Synthesis

N. Matni, Seungil You, 2015, ArXiv.

PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction

N. Matni, Osbert Bastani, I. Lee, 2019, ICLR.

Statistical Learning Theory for Control: A Finite Sample Perspective

George J. Pappas, N. Matni, Anastasios Tsiamis, 2022, arXiv.org.

Robust Model Predictive Control of Time-Delay Systems through System Level Synthesis

N. Matni, V. Preciado, Shaoru Chen, 2022, 2209.11841.

How are policy gradient methods affected by the limits of control?

N. Matni, H. Sandberg, Anastasios Tsiamis, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Visual Backtracking Teleoperation: A Data Collection Protocol for Offline Image-Based Reinforcement Learning

Stephen Tu, N. Matni, Avi Singh, 2022, ArXiv.

Distributed Control Subject to Delays Satisfying an $\mathcal{H}_\infty$ Norm Bound

N. Matni, 2014, 1402.1559.

Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles

N. Matni, M. Hsieh, K. Y. Chee, 2022, ArXiv.

Multi-Task Imitation Learning for Linear Dynamical Systems

S. Levine, C. Tomlin, Stephen Tu, 2022, ArXiv.

Adversarial Curiosity

Nikolai Matni, Kostas Daniilidis, Karl Schmeckpeper, 2020 .

System Level Synthesis-based Robust Model Predictive Control through Convex Inner Approximation pdf

Manfred Morari, Nikolai Matni, Victor M. Preciado, 2021, ArXiv.

Data-Driven System Level Synthesis

Nikolai Matni, Anton Xue, N. Matni, 2020, L4DC.

Novel computational method for predicting polytherapy switching strategies to overcome tumor heterogeneity and evolution

Nikolai Matni, Barry S. Taylor, Boris C. Bastian, 2016, Scientific Reports.

Distributed and Localized Model Predictive Control. Part II: Theoretical Guarantees

Carmen Amo Alonso, N. Matni, James Anderson, 2022, ArXiv.

From self-tuning regulators to reinforcement learning and back again

Alexandre Proutière, Nikolai Matni, Anders Rantzer, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Multi-Task Imitation Learning for Linear Dynamical Systems

S. Levine, C. Tomlin, Stephen Tu, 2022, ArXiv.

TaSIL: Taylor Series Imitation Learning

Stephen Tu, N. Matni, Daniel Pfrommer, 2022, NeurIPS.

On the Sample Complexity of Stability Constrained Imitation Learning

Stephen Tu, N. Matni, Tingnan Zhang, 2021, L4DC.

Closing the Closed-Loop Distribution Shift in Safe Imitation Learning pdf

Nikolai Matni, Stephen Tu, Alexander Robey, 2021, ArXiv.

SWITCHING RESTRICTIONS FOR STABILITY DESPITE SWITCHING DELAY: APPLICATION TO SWITCHED TRACKING TASKS IN PARKINSON'S DISEASE

N. Matni, M. McKeown, A. Ashoori, 2011 .

Stability of switched systems with switching delay : application to remote operation of aircraft under distributed control

Nikolai Matni, N. Matni, 2010 .

Synthesizing Combination Therapies for Evolutionary Dynamics of Disease for Nonlinear Pharmacodynamics

Richard M. Murray, Nikolai Matni, Vanessa Jonsson, 2014, bioRxiv.

Robust Performance Guarantees for System Level Synthesis

Anish A. Sarma, N. Matni, 2019, 2020 American Control Conference (ACC).

System Level Synthesis

Nikolai Matni, John Doyle, Steven H. Low, 2019, Annu. Rev. Control..

Reverse engineering combination therapies for evolutionary dynamics of disease: An ℌ∞ approach

Richard M. Murray, Nikolai Matni, Vanessa Jonsson, 2013, 52nd IEEE Conference on Decision and Control.

Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations pdf

Nikolai Matni, Stephen Tu, Lars Lindemann, 2021, ArXiv.

Robust Closed-loop Model Predictive Control via System Level Synthesis

Nikolai Matni, Manfred Morari, Han Wang, 2019, 2020 59th IEEE Conference on Decision and Control (CDC).

Robust Model Predictive Control via System Level Synthesis

M. Morari, N. Matni, V. Preciado, 2019, 1911.06842.

Robust Model Predictive Control with Polytopic Model Uncertainty through System Level Synthesis

M. Morari, N. Matni, V. Preciado, 2022, ArXiv.

How Are Learned Perception-Based Controllers Impacted by the Limits of Robust Control? pdf

Nikolai Matni, Dinesh Jayaraman, Bruce Lee, 2021, L4DC.

Sample Complexity of Kalman Filtering for Unknown Systems

George J. Pappas, N. Matni, Anastasios Tsiamis, 2019, L4DC.

A case study in network architecture tradeoffs

Ao Tang, Nikolai Matni, John Doyle, 2015, SOSR.

Generalization Bounded Implicit Learning of Nearly Discontinuous Functions

N. Matni, Michael Posa, Bibit Bianchini, 2021, L4DC.

Efficient Learning of Distributed Linear-Quadratic Controllers pdf

Nikolai Matni, Salar Fattahi, Somayeh Sojoudi, 2019, ArXiv.

Safely Learning to Control the Constrained Linear Quadratic Regulator

Nikolai Matni, Benjamin Recht, Stephen Tu, 2018, 2019 American Control Conference (ACC).

Robust Guarantees for Perception-Based Control

Nikolai Matni, Benjamin Recht, Vickie Ye, 2019, L4DC.

Single Trajectory Nonparametric Learning of Nonlinear Dynamics

N. Matni, H. Sandberg, I. Ziemann, 2022, COLT.

Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator

Nikolai Matni, Benjamin Recht, Horia Mania, 2018, NeurIPS.

A convex approach to consensus on SO(n)

Nikolai Matni, Matanya B. Horowitz, N. Matni, 2014, 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Learning Robust Hybrid Control Barrier Functions for Uncertain Systems pdf

Nikolai Matni, Stephen Tu, Lars Lindemann, 2021, ADHS.

Learning Control Barrier Functions from Expert Demonstrations

Dimos V. Dimarogonas, Nikolai Matni, Dimos V. Dimarogonas, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Stability of switched block upper-triangular linear systems with switching delay: Application to large distributed systems

N. Matni, Meeko Oishi, 2011, Proceedings of the 2011 American Control Conference.

Regularization for Design

Venkat Chandrasekaran, Nikolai Matni, N. Matni, 2014, IEEE Transactions on Automatic Control.

Localized distributed state feedback control with communication delays

Nikolai Matni, John Doyle, Yuh Shyang Wang, 2014, 2014 American Control Conference.

Low-Rank and Low-Order Decompositions for Local System Identification pdf

Nikolai Matni, Anders Rantzer, N. Matni, 2014, ArXiv.

Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles

N. Matni, M. Hsieh, K. Y. Chee, 2022, L4DC.

Convex relaxations of SE(2) and SE(3) for visual pose estimation

Joel W. Burdick, Nikolai Matni, Matanya B. Horowitz, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

Statistical Learning Theory for Control: A Finite-Sample Perspective

George J. Pappas, N. Matni, Anastasios Tsiamis, 2022, IEEE Control Systems.

A Tutorial on Concentration Bounds for System Identification

Nikolai Matni, Stephen Tu, Stephen Tu, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Distributed and Localized Closed Loop Model Predictive Control via System Level Synthesis

Nikolai Matni, Carmen Amo Alonso, N. Matni, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Planting mahogany in canopy gaps created by commercial harvesting

N. Matni, S. Jennings, J. C. Lopes, 2008 .

Localized LQR optimal control

Nikolai Matni, John Doyle, Yuh Shyang Wang, 2014, 53rd IEEE Conference on Decision and Control.

The Fundamental Limitations of Learning Linear-Quadratic Regulators

N. Matni, H. Sandberg, Anastasios Tsiamis, 2023, ArXiv.

Efficient Learning of Distributed Linear-Quadratic Control Policies

Nikolai Matni, Salar Fattahi, Somayeh Sojoudi, 2020, SIAM J. Control. Optim..

Finite-Data Performance Guarantees for the Output-Feedback Control of an Unknown System

Nikolai Matni, Benjamin Recht, Ross Boczar, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Hard limits on robust control over delayed and quantized communication channels with applications to sensorimotor control

Nikolai Matni, John Doyle, Yorie Nakahira, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

The noise level in linear regression with dependent data

George J. Pappas, Stephen Tu, N. Matni, 2023, ArXiv.

Uncertainty-driven Planner for Exploration and Navigation

N. Matni, Bernadette Bucher, Anton Arapin, 2022, 2022 International Conference on Robotics and Automation (ICRA).

Adversarially Robust Stability Certificates can be Sample-Efficient pdf

Nikolai Matni, Stephen Tu, Nicholas M. Boffi, 2021, L4DC.

STL Robustness Risk over Discrete-Time Stochastic Processes pdf

George J. Pappas, Nikolai Matni, Lars Lindemann, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Performance-Robustness Tradeoffs in Adversarially Robust Control and Estimation

N. Matni, Hamed Hassani, Bruce Lee, 2023, 2305.16415.

Performance-Robustness Tradeoffs in Adversarially Robust Linear-Quadratic Control

N. Matni, Hamed Hassani, Bruce Lee, 2022, 2022 IEEE 61st Conference on Decision and Control (CDC).

Adversarial Tradeoffs in Robust State Estimation

N. Matni, Hamed Hassani, Bruce Lee, 2021, 2023 American Control Conference (ACC).

Adversarial Tradeoffs in Linear Inverse Problems and Robust State Estimation

N. Matni, Hamed Hassani, Bruce Lee, 2021, ArXiv.

Learning Safe and Stable Motion Plans with Neural Ordinary Differential Equations

N. Matni, Nadia Figueroa, Tianyu Li, 2023, 2308.00186.

Toward Certified Robustness Against Real-World Distribution Shifts

N. Matni, C. Pasareanu, Hamed Hassani, 2022, 2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML).

Communication Topology Co-Design in Graph Recurrent Neural Network based Distributed Control pdf

Nikolai Matni, Fengjun Yang, N. Matni, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Regularization for design

Venkat Chandrasekaran, Nikolai Matni, N. Matni, 2016, 53rd IEEE Conference on Decision and Control.

A Data-Driven Approach to Synthesizing Dynamics-Aware Trajectories for Underactuated Robotic Systems

N. Matni, Vijay R. Kumar, Dinesh Thakur, 2023, arXiv.org.

Meta-Learning Operators to Optimality from Multi-Task Non-IID Data

N. Matni, James Anderson, Leonardo F. Toso, 2023, ArXiv.

A Theory of dynamics, control and optimization in layered architectures

Nikolai Matni, John Doyle, J. Doyle, 2016, 2016 American Control Conference (ACC).

An Adversarial Objective for Scalable Exploration

Kostas Daniilidis, N. Matni, Bernadette Bucher, 2020, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Safety Filter Design for Neural Network Systems via Convex Optimization

N. Matni, M. A. Hsieh, George Pappas, 2023, ArXiv.

A Tutorial on the Non-Asymptotic Theory of System Identification

George J. Pappas, N. Matni, Anastasios Tsiamis, 2023, 2023 62nd IEEE Conference on Decision and Control (CDC).

Learning Hybrid Control Barrier Functions from Data pdf

Dimos V. Dimarogonas, Nikolai Matni, Dimos V. Dimarogonas, 2020, CoRL.

Separable and Localized System-Level Synthesis for Large-Scale Systems

Nikolai Matni, John C. Doyle, Yuh-Shyang Wang, 2017, IEEE Transactions on Automatic Control.

On the Sample Complexity of the Linear Quadratic Regulator

Stephen Tu, N. Matni, B. Recht, 2017, Foundations of Computational Mathematics.

Learning Complex Motion Plans using Neural ODEs with Safety and Stability Guarantees

N. Matni, Nadia Figueroa, Tianyu Li, 2023, 2308.00186.

Learning Control Barrier Functions from Expert Demonstrations

Dimos V. Dimarogonas, Stephen Tu, N. Matni, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Data-Driven Distributed and Localized Model Predictive Control pdf

Nikolai Matni, Carmen Amo Alonso, Fengjun Yang, 2021, IEEE Open Journal of Control Systems.

Data-Driven System Level Synthesis pdf

Nikolai Matni, Anton Xue, N. Matni, 2020, L4DC.

Risk of Stochastic Systems for Temporal Logic Specifications

N. Matni, Lars Lindemann, Lejun Jiang, 2022, ACM Trans. Embed. Comput. Syst..

Multi-Task Imitation Learning for Linear Dynamical Systems

S. Levine, C. Tomlin, Stephen Tu, 2022, L4DC.

A dual problem in ℌ2 decentralized control subject to delays

Nikolai Matni, John Doyle, J. Doyle, 2013, 2013 American Control Conference.

A heuristic for sub-optimal ℌ2 decentralized control subject to delay in non-quadratically-invariant systems

Nikolai Matni, John Doyle, J. Doyle, 2013, 2013 American Control Conference.

A Control-Theoretic Approach to In-Network Congestion Management

Ao Tang, Nikolai Matni, Nithin Michael, 2018, IEEE/ACM Transactions on Networking.