Andrew G. Lamperski

Orcid: 0000-0003-0383-1830

Affiliations:
  • University of Minnesota, Minneapolis, Department of Electrical and Computer Engineering


According to our database1, Andrew G. Lamperski authored at least 63 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control.
CoRR, 2024

2023
Topology Learning in Radial Dynamical Systems With Unreliable Data.
IEEE Trans. Control. Netw. Syst., December, 2023

Mode switching in organisms for solving explore-versus-exploit problems.
Nat. Mac. Intell., October, 2023

Nonasymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators.
IEEE Trans. Signal Process., 2023

Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control.
CoRR, 2023

Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators.
CoRR, 2023

Gain-Scheduled QSR-Dissipative Systems: An Input-Output Approach.
Proceedings of the American Control Conference, 2023

2022
Effects of Data Corruption on Network Identification Using Directed Information.
IEEE Trans. Autom. Control., 2022

Newton's Method, Bellman Recursion and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games.
Dyn. Games Appl., 2022

Constrained Langevin Algorithms with L-mixing External Random Variables.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sufficient Conditions for Persistency of Excitation with Step and ReLU Activation Functions.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Neural Network Independence Properties with Applications to Adaptive Control.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021
Network Structure Identification From Corrupt Data Streams.
IEEE Trans. Autom. Control., 2021

Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning.
Proceedings of the Conference on Learning Theory, 2021

Wasserstein Contraction Bounds on Closed Convex Domains with Applications to Stochastic Adaptive Control.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Confidence Bounds on Identification of Linear Systems with Multiplicative Noise.
Proceedings of the 2021 American Control Conference, 2021

2020
Causal Structure Identification from Corrupt Data-Streams.
CoRR, 2020

First-Order Algorithms for Constrained Nonlinear Dynamic Games.
CoRR, 2020

Moment analysis of stochastic hybrid systems using semidefinite programming.
Autom., 2020

Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Computing Stabilizing Linear Controllers via Policy Iteration.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Local First-Order Algorithms for Constrained Nonlinear Dynamic Games.
Proceedings of the 2020 American Control Conference, 2020

Inverse Differential Games With Mixed Inequality Constraints.
Proceedings of the 2020 American Control Conference, 2020

Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Analysis and Control of Stochastic Systems Using Semidefinite Programming Over Moments.
IEEE Trans. Autom. Control., 2019

Simple Algorithms for Dueling Bandits.
CoRR, 2019

Online Adaptive Principal Component Analysis and Its extensions.
Proceedings of the 36th International Conference on Machine Learning, 2019

Corruption Detection in Networks of Bi-directional Dynamical Systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Newton's Method and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Online convex optimization for cumulative constraints.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Estimating stationary characteristic functions of stochastic systems via semidefinite programming.
Proceedings of the 16th European Control Conference, 2018

Inferring Directed Graphs for Networks from Corrupt Data-Streams.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

A Random Algorithm for Semidefinite Programming Problems.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Seizure Control in a Computational Model Using a Reinforcement Learning Stimulation Paradigm.
Int. J. Neural Syst., 2017

Network topology identification from corrupt data streams.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

A semidefinite programming method for moment approximation in stochastic differential algebraic systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Approximate moment dynamics for polynomial and trigonometric stochastic systems.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Online control basis selection by a regularized actor critic algorithm.
Proceedings of the 2017 American Control Conference, 2017

2016
Automata Theory Meets Barrier Certificates: Temporal Logic Verification of Nonlinear Systems.
IEEE Trans. Autom. Control., 2016

Optimal Control With Noisy Time.
IEEE Trans. Autom. Control., 2016

Stochastic optimal control using semidefinite programming for moment dynamics.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Natural gradients for state and output feedback control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

(Un)ambiguous optimal control.
Proceedings of the 2016 American Control Conference, 2016

2015
The ℋ<sub>2</sub> Control Problem for Quadratically Invariant Systems With Delays.
IEEE Trans. Autom. Control., 2015

Optimal decentralized state-feedback control with sparsity and delays.
Autom., 2015

2014
Optimal Two Player LQR State Feedback With Varying Delay.
CoRR, 2014

Stability and consensus for multi-agent systems with Poisson clock noise.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Lyapunov Theory for Zeno Stability.
IEEE Trans. Autom. Control., 2013

The $H_2$ Control Problem for Decentralized Systems with Delays.
CoRR, 2013

Time-changed linear quadratic regulators.
Proceedings of the 12th European Control Conference, 2013

Output feedback ℌ2 model matching for decentralized systems with delays.
Proceedings of the American Control Conference, 2013

2012
Verification of Periodically Controlled Hybrid Systems: Application to an Autonomous Vehicle.
ACM Trans. Embed. Comput. Syst., 2012

Output Feedback H_2 Model Matching for Decentralized Systems with Delays
CoRR, 2012

Dynamic programming solutions for decentralized state-feedback LQG problems with communication delays.
Proceedings of the American Control Conference, 2012

2011
On the structure of state-feedback LQG controllers for distributed systems with communication delays.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
A neuro-inspired method for data rate limited feedback control.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Periodically Controlled Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 12th International Conference, 2009

Representations and algorithms for finite-state bisimulations of linear discrete-time control systems.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Templates and Anchors for Antenna-Based Wall Following in Cockroaches and Robots.
IEEE Trans. Robotics, 2008

Sufficient Conditions for Zeno Behavior in Lagrangian Hybrid Systems.
Proceedings of the Hybrid Systems: Computation and Control, 11th International Workshop, 2008

On the existence of Zeno behavior in hybrid systems with non-isolated Zeno equilibria.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007
Lyapunov-Like Conditions for the Existence of Zeno Behavior in Hybrid and Lagrangian Hybrid Systems.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2005
Dynamical Wall Following for a Wheeled Robot Using a Passive Tactile Sensor.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005


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