default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAndrew G. Lamperski
Person information
- affiliation: University of Minnesota, Minneapolis, Department of Electrical and Computer Engineering
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c39]Logan Anderson, Ryan James Caverly, Andrew G. Lamperski:
Statistical Bounds on Identified QSR Dissipative Properties from Input-Output Data. ACC 2024: 1380-1385- [i22]Andrew G. Lamperski, Tyler Lekang:
Approximation with Random Shallow ReLU Networks with Applications to Model Reference Adaptive Control. CoRR abs/2403.17142 (2024) - [i21]Andrew G. Lamperski, Siddharth Salapaka:
Function Gradient Approximation with Random Shallow ReLU Networks with Control Applications. CoRR abs/2410.05071 (2024) - 2023
- [j16]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): 1285-1296 (2023) - [j15]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): 2010-2021 (2023) - [j14]Andrew G. Lamperski:
Nonasymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators. IEEE Trans. Signal Process. 71: 4273-4287 (2023) - [c38]Logan Anderson, Ryan James Caverly, Andrew G. Lamperski:
Gain-Scheduled QSR-Dissipative Systems: An Input-Output Approach. ACC 2023: 2417-2423 - [i20]Andrew G. Lamperski:
Non-Asymptotic Pointwise and Worst-Case Bounds for Classical Spectrum Estimators. CoRR abs/2303.11908 (2023) - [i19]Tyler Lekang, Andrew G. Lamperski:
Function Approximation with Randomly Initialized Neural Networks for Approximate Model Reference Adaptive Control. CoRR abs/2303.16251 (2023) - 2022
- [j13]Bolei Di, Andrew G. Lamperski:
Newton's Method, Bellman Recursion and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. Dyn. Games Appl. 12(2): 394-442 (2022) - [j12]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): 2771-2783 (2022) - [c37]Tyler Lekang, Andrew G. Lamperski:
Sufficient Conditions for Persistency of Excitation with Step and ReLU Activation Functions. CDC 2022: 2025-2030 - [c36]Andrew G. Lamperski:
Neural Network Independence Properties with Applications to Adaptive Control. CDC 2022: 3365-3370 - [c35]Yuping Zheng, Andrew G. Lamperski:
Constrained Langevin Algorithms with L-mixing External Random Variables. NeurIPS 2022 - [i18]Yuping Zheng, Andrew G. Lamperski:
Constrained Langevin Algorithms with L-mixing External Random Variables. CoRR abs/2205.14192 (2022) - 2021
- [j11]Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka:
Network Structure Identification From Corrupt Data Streams. IEEE Trans. Autom. Control. 66(11): 5314-5325 (2021) - [c34]Bolei Di, Andrew G. Lamperski:
Confidence Bounds on Identification of Linear Systems with Multiplicative Noise. ACC 2021: 2212-2217 - [c33]Tyler Lekang, Andrew G. Lamperski:
Wasserstein Contraction Bounds on Closed Convex Domains with Applications to Stochastic Adaptive Control. CDC 2021: 366-371 - [c32]Andrew G. Lamperski:
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning. COLT 2021: 2891-2937 - 2020
- [j10]Khem Raj Ghusinga, Andrew G. Lamperski, Abhyudai Singh:
Moment analysis of stochastic hybrid systems using semidefinite programming. Autom. 112 (2020) - [c31]Jianjun Yuan, Andrew G. Lamperski:
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond. AAAI 2020: 6712-6719 - [c30]Chaitanya Awasthi, Andrew G. Lamperski:
Inverse Differential Games With Mixed Inequality Constraints. ACC 2020: 2182-2187 - [c29]Bolei Di, Andrew G. Lamperski:
Local First-Order Algorithms for Constrained Nonlinear Dynamic Games. ACC 2020: 5358-5363 - [c28]Andrew G. Lamperski:
Computing Stabilizing Linear Controllers via Policy Iteration. CDC 2020: 1902-1907 - [c27]Bruce Lee, Andrew G. Lamperski:
Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction. CDC 2020: 3419-3424 - [i17]Bolei Di, Andrew G. Lamperski:
First-Order Algorithms for Constrained Nonlinear Dynamic Games. CoRR abs/2001.01826 (2020) - [i16]Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka:
Causal Structure Identification from Corrupt Data-Streams. CoRR abs/2006.04683 (2020) - [i15]Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka:
Network Structure Identification from Corrupt Data Streams. CoRR abs/2006.04690 (2020) - [i14]Venkat Ram Subramanian, Deepjyoti Deka, Saurav Talukdar, Andy Lamperski, Murti V. Salapaka:
Topology Learning in Radial Dynamical Systems with Unreliable Data. CoRR abs/2009.13458 (2020) - [i13]Andrew G. Lamperski:
Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning. CoRR abs/2012.12137 (2020)
2010 – 2019
- 2019
- [j9]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): 1726-1731 (2019) - [c26]Bolei Di, Andrew G. Lamperski:
Newton's Method and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. CDC 2019: 4073-4078 - [c25]Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka:
Corruption Detection in Networks of Bi-directional Dynamical Systems. CDC 2019: 4545-4550 - [c24]Jianjun Yuan, Andrew G. Lamperski:
Online Adaptive Principal Component Analysis and Its extensions. ICML 2019: 7213-7221 - [i12]Jianjun Yuan, Andrew G. Lamperski:
Online Adaptive Principal Component Analysis and Its extensions. CoRR abs/1901.07687 (2019) - [i11]Tyler Lekang, Andrew G. Lamperski:
Simple Algorithms for Dueling Bandits. CoRR abs/1906.07611 (2019) - [i10]Bolei Di, Andrew G. Lamperski:
Newton's Method and Differential Dynamic Programming for Unconstrained Nonlinear Dynamic Games. CoRR abs/1906.09097 (2019) - [i9]Bruce Lee, Andrew G. Lamperski:
Non-asymptotic Closed-Loop System Identification using Autoregressive Processes and Hankel Model Reduction. CoRR abs/1909.02192 (2019) - [i8]Jianjun Yuan, Andrew G. Lamperski:
Trading-Off Static and Dynamic Regret in Online Least-Squares and Beyond. CoRR abs/1909.03118 (2019) - 2018
- [c23]Jianjun Yuan, Andrew G. Lamperski:
A Random Algorithm for Semidefinite Programming Problems. ACC 2018: 1382-1387 - [c22]Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka:
Inferring Directed Graphs for Networks from Corrupt Data-Streams. CDC 2018: 4493-4498 - [c21]Khem Raj Ghusinga, Andrew G. Lamperski, Abhyudai Singh:
Estimating stationary characteristic functions of stochastic systems via semidefinite programming. ECC 2018: 2720-2725 - [c20]Jianjun Yuan, Andrew G. Lamperski:
Online convex optimization for cumulative constraints. NeurIPS 2018: 6140-6149 - [i7]Jianjun Yuan, Andrew G. Lamperski:
Online Convex Optimization for Cumulative Constraints. CoRR abs/1802.06472 (2018) - 2017
- [j8]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): 1750012:1-1750012:13 (2017) - [c19]Jianjun Yuan, Andrew G. Lamperski:
Online control basis selection by a regularized actor critic algorithm. ACC 2017: 4448-4453 - [c18]Venkat Ram Subramanian, Andrew G. Lamperski, Murti V. Salapaka:
Network topology identification from corrupt data streams. CDC 2017: 1695-1700 - [c17]Khem Raj Ghusinga, Mohammad Soltani, Andrew G. Lamperski, Sairaj V. Dhople, Abhyudai Singh:
Approximate moment dynamics for polynomial and trigonometric stochastic systems. CDC 2017: 1864-1869 - [c16]Andrew G. Lamperski, Sairaj V. Dhople:
A semidefinite programming method for moment approximation in stochastic differential algebraic systems. CDC 2017: 2455-2460 - 2016
- [j7]Andrew G. Lamperski, Noah J. Cowan:
Optimal Control With Noisy Time. IEEE Trans. Autom. Control. 61(2): 319-333 (2016) - [j6]Tichakorn Wongpiromsarn, Ufuk Topcu, Andrew G. Lamperski:
Automata Theory Meets Barrier Certificates: Temporal Logic Verification of Nonlinear Systems. IEEE Trans. Autom. Control. 61(11): 3344-3355 (2016) - [c15]Andrew G. Lamperski, Bolei Di, Tyler Lekang, Jinsun Liu, Ran Tian:
(Un)ambiguous optimal control. ACC 2016: 1111-1116 - [c14]Andrew G. Lamperski:
Natural gradients for state and output feedback control. CDC 2016: 1984-1989 - [c13]Andrew G. Lamperski, Khem Raj Ghusinga, Abhyudai Singh:
Stochastic optimal control using semidefinite programming for moment dynamics. CDC 2016: 1990-1995 - 2015
- [j5]Andrew G. Lamperski, Laurent Lessard:
Optimal decentralized state-feedback control with sparsity and delays. Autom. 58: 143-151 (2015) - [j4]Andrew G. Lamperski, John C. Doyle:
The ℋ2 Control Problem for Quadratically Invariant Systems With Delays. IEEE Trans. Autom. Control. 60(7): 1945-1950 (2015) - 2014
- [c12]Andrew G. Lamperski, Antonis Papachristodoulou:
Stability and consensus for multi-agent systems with Poisson clock noise. CDC 2014: 3023-3028 - [i6]Andrew G. Lamperski, Noah J. Cowan:
Optimal Control with Noisy Time. CoRR abs/1401.0202 (2014) - [i5]Tichakorn Wongpiromsarn, Ufuk Topcu, Andrew G. Lamperski:
Automata Theory Meets Barrier Certificates: Temporal Logic Verification of Nonlinear Systems. CoRR abs/1403.3524 (2014) - [i4]Nikolai Matni, Andrew G. Lamperski, John C. Doyle:
Optimal Two Player LQR State Feedback With Varying Delay. CoRR abs/1403.7790 (2014) - 2013
- [j3]Andrew G. Lamperski, Aaron D. Ames:
Lyapunov Theory for Zeno Stability. IEEE Trans. Autom. Control. 58(1): 100-112 (2013) - [c11]Andrew G. Lamperski, John C. Doyle:
Output feedback ℌ2 model matching for decentralized systems with delays. ACC 2013: 5778-5783 - [c10]Andrew G. Lamperski, Noah J. Cowan:
Time-changed linear quadratic regulators. ECC 2013: 198-203 - [i3]Andrew G. Lamperski, Laurent Lessard:
Optimal Decentralized State-Feedback Control with Sparsity and Delays. CoRR abs/1306.0036 (2013) - [i2]Andrew G. Lamperski, John C. Doyle:
The $H_2$ Control Problem for Decentralized Systems with Delays. CoRR abs/1312.7724 (2013) - 2012
- [j2]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): 53:1-53:24 (2012) - [c9]Andrew G. Lamperski, John C. Doyle:
Dynamic programming solutions for decentralized state-feedback LQG problems with communication delays. ACC 2012: 6322-6327 - [i1]Andrew G. Lamperski, John C. Doyle:
Output Feedback H_2 Model Matching for Decentralized Systems with Delays. CoRR abs/1209.3600 (2012) - 2011
- [c8]Andrew G. Lamperski, John C. Doyle:
On the structure of state-feedback LQG controllers for distributed systems with communication delays. CDC/ECC 2011: 6901-6906 - 2010
- [c7]Andrew G. Lamperski:
A neuro-inspired method for data rate limited feedback control. CDC 2010: 6463-6468
2000 – 2009
- 2009
- [c6]Andrew G. Lamperski:
Representations and algorithms for finite-state bisimulations of linear discrete-time control systems. CDC 2009: 51-56 - [c5]Tichakorn Wongpiromsarn, Sayan Mitra, Richard M. Murray, Andrew G. Lamperski:
Periodically Controlled Hybrid Systems. HSCC 2009: 396-410 - 2008
- [j1]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): 130-143 (2008) - [c4]Andrew G. Lamperski, Aaron D. Ames:
On the existence of Zeno behavior in hybrid systems with non-isolated Zeno equilibria. CDC 2008: 2776-2781 - [c3]Andrew G. Lamperski, Aaron D. Ames:
Sufficient Conditions for Zeno Behavior in Lagrangian Hybrid Systems. HSCC 2008: 622-625 - 2007
- [c2]Andrew G. Lamperski, Aaron D. Ames:
Lyapunov-Like Conditions for the Existence of Zeno Behavior in Hybrid and Lagrangian Hybrid Systems. CDC 2007: 115-120 - 2005
- [c1]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: 3838-3843
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 00:55 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
