Lili Wang

Orcid: 0000-0002-5564-3420

Affiliations:
  • Univeristy of California Irvine, CA, USA
  • Yale University, School of Engineering and Applied Science, New Haven, CT, USA (former)
  • Zhejiang University, College of Electrical Engineering, Hangzhou, China (former)


According to our database1, Lili Wang authored at least 29 papers between 2012 and 2023.

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

Timeline

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Bibliography

2023
Distributed Feedback Control of Multichannel Linear Systems.
IEEE Trans. Autom. Control., December, 2023

Split-Spectrum Based Distributed Estimator for a Continuous-Time Linear System on a Time-Varying Graph.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Distributed State Estimation for Linear Systems.
CoRR, 2022

A hybrid observer for estimating the state of a distributed linear system.
Autom., 2022

2020
Consensus and Disagreement of Heterogeneous Belief Systems in Influence Networks.
IEEE Trans. Autom. Control., 2020

A Distributed Observer for a Continuous-Time Linear System with time-varying network.
CoRR, 2020

Distributed Control of Linear Multi-Channel Systems: Summary of Results.
Proceedings of the 2020 American Control Conference, 2020

2019
Distributed Control of Linear Multi-Channel Systems.
CoRR, 2019

A Distributed Observer for a Discrete-Time Linear System.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

A Distributed Observer for a Continuous-Time Linear System.
Proceedings of the 2019 American Control Conference, 2019

2018
A Distributed Observer for a Time-Invariant Linear System.
IEEE Trans. Autom. Control., 2018

A Generalized Discrete-Time Altafini Model.
Proceedings of the 16th European Control Conference, 2018

2017
A hybrid observer for a distributed linear system with a changing neighbor graph.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

On the distributed computation of a common fixed point of a family of paracontractions.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

2016
Formation Control With Size Scaling Via a Complex Laplacian-Based Approach.
IEEE Trans. Cybern., 2016

A Graph Laplacian Approach to Coordinate-Free Formation Stabilization for Directed Networks.
IEEE Trans. Autom. Control., 2016

Necessary and Sufficient Graphical Conditions for Affine Formation Control.
IEEE Trans. Autom. Control., 2016

Reprint of "A distributed algorithm for efficiently solving linear equations and its applications (Special Issue JCW)".
Syst. Control. Lett., 2016

A distributed algorithm for efficiently solving linear equations and its applications (Special Issue JCW).
Syst. Control. Lett., 2016

A Distributed Algorithm for Computing a Common Fixed Point of a Family of Paracontractions.
CoRR, 2016

Global stabilization of rigid formations via sliding mode control.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

A distributed algorithm with an arbitrary initialization for solving a linear algebraic equation.
Proceedings of the 2016 American Control Conference, 2016

2015
A distributed algorithm for efficiently solving linear equations.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

2014
Distributed Formation Control of Multi-Agent Systems Using Complex Laplacian.
IEEE Trans. Autom. Control., 2014

A linear approach to formation control under directed and switching topologies.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Affine formation of multi-agent systems over directed graphs.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Realizability of similar formation and local control of directed multi-agent networks in discrete-time.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Local formation control strategies with undetermined and determined formation scales for co-leader vehicle networks.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
Formation control of directed multi-agent networks based on complex Laplacian.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012


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