Andrew G. Lamperski

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 51

Top Topics

Adaptive Control

Top Venues

IEEE Trans. Autom. Control.

Publications

Andrew G. Lamperski, Tyler Lekang
Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control. CoRR (2024)
Tyler Lekang, Andrew G. Lamperski
Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control. CoRR (2023)
Andrew G. Lamperski
Nonasymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators. IEEE Trans. Signal Process. 71 (2023)
Debojyoti Biswas, Andrew G. Lamperski, Yu Yang, Kathleen Hoffman, John Guckenheimer, Eric S. Fortune, Noah J. Cowan
Mode switching in organisms for solving explore-versus-exploit problems. Nat. Mac. Intell. 5 (11) (2023)
Andrew G. Lamperski
Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators. CoRR (2023)
Logan Anderson, Ryan James Caverly, Andrew G. Lamperski
Gain-Scheduled QSR-Dissipative Systems: An Input-Output Approach. ACC (2023)
Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, Andrew G. Lamperski, Murti V. Salapaka
Topology Learning in Radial Dynamical Systems With Unreliable Data. IEEE Trans. Control. Netw. Syst. 10 (4) (2023)
Tyler Lekang, Andrew G. Lamperski
Sufficient Conditions for Persistency of Excitation with Step and ReLU Activation Functions. CDC (2022)
Bolei Di, Andrew G. Lamperski
Newton's Method, Bellman Recursion and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. Dyn. Games Appl. 12 (2) (2022)
Andrew G. Lamperski
Neural Network Independence Properties with Applications to Adaptive Control. CDC (2022)
Yuping Zheng, Andrew G. Lamperski
Constrained Langevin Algorithms with L-mixing External Random Variables. NeurIPS (2022)
Yuping Zheng, Andrew G. Lamperski
Constrained Langevin Algorithms with L-mixing External Random Variables. CoRR (2022)
Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
Effects of Data Corruption on Network Identification Using Directed Information. IEEE Trans. Autom. Control. 67 (6) (2022)
Andrew G. Lamperski
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning. COLT (2021)
Bolei Di, Andrew G. Lamperski
Confidence Bounds on Identification of Linear Systems with Multiplicative Noise. ACC (2021)
Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
Network Structure Identification From Corrupt Data Streams. IEEE Trans. Autom. Control. 66 (11) (2021)
Tyler Lekang, Andrew G. Lamperski
Wasserstein Contraction Bounds on Closed Convex Domains with Applications to Stochastic Adaptive Control. CDC (2021)
Chaitanya Awasthi, Andrew G. Lamperski
Inverse Differential Games With Mixed Inequality Constraints. ACC (2020)
Andrew G. Lamperski
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning. CoRR (2020)
Bolei Di, Andrew G. Lamperski
First-Order Algorithms for Constrained Nonlinear Dynamic Games. CoRR (2020)
Jianjun Yuan, Andrew G. Lamperski
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond. AAAI (2020)
Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
Network Structure Identification from Corrupt Data Streams. CoRR (2020)
Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
Causal Structure Identification from Corrupt Data-Streams. CoRR (2020)
Khem Raj Ghusinga, Andrew G. Lamperski, Abhyudai Singh
Moment analysis of stochastic hybrid systems using semidefinite programming. Autom. 112 (2020)
Bruce Lee, Andrew G. Lamperski
Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction. CDC (2020)
Andrew G. Lamperski
Computing Stabilizing Linear Controllers via Policy Iteration. CDC (2020)
Bolei Di, Andrew G. Lamperski
Local First-Order Algorithms for Constrained Nonlinear Dynamic Games. ACC (2020)
Bolei Di, Andrew G. Lamperski
Newton's Method and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. CDC (2019)
Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
Corruption Detection in Networks of Bi-directional Dynamical Systems. CDC (2019)
Jianjun Yuan, Andrew G. Lamperski
Online Adaptive Principal Component Analysis and Its extensions. ICML (2019)
Tyler Lekang, Andrew G. Lamperski
Simple Algorithms for Dueling Bandits. CoRR (2019)
Bruce Lee, Andrew G. Lamperski
Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction. CoRR (2019)
Jianjun Yuan, Andrew G. Lamperski
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond. CoRR (2019)
Andrew G. Lamperski, Khem Raj Ghusinga, Abhyudai Singh
Analysis and Control of Stochastic Systems Using Semidefinite Programming Over Moments. IEEE Trans. Autom. Control. 64 (4) (2019)
Bolei Di, Andrew G. Lamperski
Newton's Method and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. CoRR (2019)
Jianjun Yuan, Andrew G. Lamperski
Online Adaptive Principal Component Analysis and Its extensions. CoRR (2019)
Khem Raj Ghusinga, Andrew G. Lamperski, Abhyudai Singh
Estimating stationary characteristic functions of stochastic systems via semidefinite programming. ECC (2018)
Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
Inferring Directed Graphs for Networks from Corrupt Data-Streams. CDC (2018)
Jianjun Yuan, Andrew G. Lamperski
Online Convex Optimization for Cumulative Constraints. CoRR (2018)
Jianjun Yuan, Andrew G. Lamperski
A Random Algorithm for Semidefinite Programming Problems. ACC (2018)
Jianjun Yuan, Andrew G. Lamperski
Online convex optimization for cumulative constraints. NeurIPS (2018)
Khem Raj Ghusinga, Mohammad Soltani, Andrew G. Lamperski, Sairaj V. Dhople, Abhyudai Singh
Approximate moment dynamics for polynomial and trigonometric stochastic systems. CDC (2017)
Jianjun Yuan, Andrew G. Lamperski
Online control basis selection by a regularized actor critic algorithm. ACC (2017)
Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka
Network topology identification from corrupt data streams. CDC (2017)
Vivek Nagaraj, Andrew G. Lamperski, Theoden I. Netoff
Seizure Control in a Computational Model Using a Reinforcement Learning Stimulation Paradigm. Int. J. Neural Syst. 27 (7) (2017)
Andrew G. Lamperski, Sairaj V. Dhople
A semidefinite programming method for moment approximation in stochastic differential algebraic systems. CDC (2017)
Andrew G. Lamperski, Khem Raj Ghusinga, Abhyudai Singh
Stochastic optimal control using semidefinite programming for moment dynamics. CDC (2016)
Andrew G. Lamperski, Noah J. Cowan
Optimal Control With Noisy Time. IEEE Trans. Autom. Control. 61 (2) (2016)
Tichakorn Wongpiromsarn, Ufuk Topcu, Andrew G. Lamperski
Automata Theory Meets Barrier Certificates: Temporal Logic Verification of Nonlinear Systems. IEEE Trans. Autom. Control. 61 (11) (2016)
Andrew G. Lamperski
Natural gradients for state and output feedback control. CDC (2016)
Andrew G. Lamperski, Bolei Di, Tyler Lekang, Jinsun Liu, Ran Tian
(Un)ambiguous optimal control. ACC (2016)
Andrew G. Lamperski, Laurent Lessard
Optimal decentralized state-feedback control with sparsity and delays. Autom. 58 (2015)
Andrew G. Lamperski, John C. Doyle
Control Problem for Quadratically Invariant Systems With Delays. IEEE Trans. Autom. Control. 60 (7) (2015)
Nikolai Matni, Andrew G. Lamperski, John C. Doyle
Optimal Two Player LQR State Feedback With Varying Delay. CoRR (2014)
Andrew G. Lamperski, Noah J. Cowan
Optimal Control with Noisy Time. CoRR (2014)
Tichakorn Wongpiromsarn, Ufuk Topcu, Andrew G. Lamperski
Automata Theory Meets Barrier Certificates: Temporal Logic Verification of Nonlinear Systems. CoRR (2014)
Andrew G. Lamperski, Antonis Papachristodoulou
Stability and consensus for multi-agent systems with Poisson clock noise. CDC (2014)
Andrew G. Lamperski, Aaron D. Ames
Lyapunov Theory for Zeno Stability. IEEE Trans. Autom. Control. 58 (1) (2013)
Andrew G. Lamperski, John C. Doyle
The $H_2$ Control Problem for Decentralized Systems with Delays. CoRR (2013)
Andrew G. Lamperski, Laurent Lessard
Optimal Decentralized State-Feedback Control with Sparsity and Delays. CoRR (2013)
Andrew G. Lamperski, John C. Doyle
Output feedback ℌ2 model matching for decentralized systems with delays. ACC (2013)
Andrew G. Lamperski, Noah J. Cowan
Time-changed linear quadratic regulators. ECC (2013)
Tichakorn Wongpiromsarn, Sayan Mitra, Andrew G. Lamperski, Richard M. Murray
Verification of Periodically Controlled Hybrid Systems: Application to an Autonomous Vehicle. ACM Trans. Embed. Comput. Syst. 11 (S2) (2012)
Andrew G. Lamperski, John C. Doyle
Dynamic programming solutions for decentralized state-feedback LQG problems with communication delays. ACC (2012)
Andrew G. Lamperski, John C. Doyle
Output Feedback H_2 Model Matching for Decentralized Systems with Delays CoRR (2012)
Andrew G. Lamperski, John C. Doyle
On the structure of state-feedback LQG controllers for distributed systems with communication delays. CDC/ECC (2011)
Andrew G. Lamperski
A neuro-inspired method for data rate limited feedback control. CDC (2010)
Tichakorn Wongpiromsarn, Sayan Mitra, Richard M. Murray, Andrew G. Lamperski
Periodically Controlled Hybrid Systems. HSCC (2009)
Andrew G. Lamperski
Representations and algorithms for finite-state bisimulations of linear discrete-time control systems. CDC (2009)
Jusuk Lee, S. N. Sponberg, Owen Y. Loh, Andrew G. Lamperski, Robert J. Full, Noah J. Cowan
Templates and Anchors for Antenna-Based Wall Following in Cockroaches and Robots. IEEE Trans. Robotics 24 (1) (2008)
Andrew G. Lamperski, Aaron D. Ames
Sufficient Conditions for Zeno Behavior in Lagrangian Hybrid Systems. HSCC (2008)
Andrew G. Lamperski, Aaron D. Ames
On the existence of Zeno behavior in hybrid systems with non-isolated Zeno equilibria. CDC (2008)
Andrew G. Lamperski, Aaron D. Ames
Lyapunov-Like Conditions for the Existence of Zeno Behavior in Hybrid and Lagrangian Hybrid Systems. CDC (2007)
Andrew G. Lamperski, Owen Y. Loh, Brett L. Kutscher, Noah J. Cowan
Dynamical Wall Following for a Wheeled Robot Using a Passive Tactile Sensor. ICRA (2005)