News
2024
2023
2022
12/2022: Our work Sparsity Invariance for Convex Design of Distributed Controllers won the 2022 IEEE Transactions on Control of Network Systems Best Paper Award.
12/2022: Attended the 61st IEEE Conference on Decision and Control in Cancún, Mexico, and presented our work on Escaping High-order Saddles in Policy Optimization for
Linear Quadratic Gaussian (LQG) Control and Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering.
11/2022: A new paper: On Controller Reduction in Linear Quadratic Gaussian Control with Performance Bounds
11/2022: Presented an invited talk on Scalable Learning, Optimization, and Control for Autonomous Systems at Tsinghua Berkeley Shenzhen Institute, hosted by Prof. Xuan Zhang.
11/2022: Our paper: “Iteratively Enhanced Semidefinite Relaxations for Efficient Neural Network Verification” was accepted for presentation at AAAI-23.
11/2022: Our notes on Optimal Control and Convex Optimization are available now, where we discuss topics like Youla parameterization, H2/Hinf control, and Quadratic Invariance, etc.
11/2022: A new paper: On the Relationship of Optimal State Feedback and Disturbance Response Controllers
11/2022: A new paper: Dimension Reduction for Efficient Data-Enabled Predictive Control, where we intorduce a simple SVD-based strategy to reduce the optimization problem dimension in DeePC.
10/2022: Attended the 2022 INFORMS Annual Meeting, and presented our work on Block Factor-width-two Matrices and Their Applications to Semidefinite and Sum-of-squares Optimization.
09/2022: Attended the 58th Annual Allerton Conference, and presented our recent work on Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering.
09/2022: Presented an invited TILOS talk at UCSD on Nonconvex Optimization for Linear Quadratic Gaussian (LQG) Control, hosted by Prof. Sicun Gao.
08/2022: Received a new NSF award: Matrix Decomposition for Scalable Conic Optimization with Applications to Distributed Control and Machine Learning.
07/2022: Our SOC lab has five papers accepted for presentation at IEEE CDC 2022!
06/2022: A new paper on DeeP-LCC: Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic. A conference version was accepted for presentation at IEEE ITSC 2022.
05/2022: A new paper: Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach was accepted for presentation at e-Energy 2022.
05/2022: Our SOC lab has a YouTube channel; check out our experiments on Deep-LCC: Video 1 and Video 2;
04/2022: Feng-Yi's first paper on scalable semidefinite optimization is on arXiv; Congratulations! Check it out: Iterative Inner/outer Approximations for Scalable Semidefinite Programs using Block Factor-width-two Matrices;
04/2022: Check out our new paper: Experimental Validation of DeeP-LCC for Dissipating Stop-and-Go Waves in Mixed Traffic; code and video are available here;
04/2022: Check out our new paper: Escaping High-order Saddles in Policy Optimization for Linear Quadratic Gaussian (LQG) Control
04/2022: Anish Kulkarni (UG) and Yanzhi Yao (Master) joined the SOC group through SRIP 2022. Welcome, Anish and Yanzhi!
03/2022: Guest lecture on Sample Complexity of Model-based Linear Quadratic
Control: LQR and LQG at ES 203/AM 233, Harvard University
03/2022: Check out our new paper: Convex Parameterization of Stabilizing Controllers and its LMI-based Computation via Filtering
03/2022: A new paper on landscape analysis of LQG and Hinf control: Connectivity of the Feasible and Sublevel Sets of Dynamic Output Feedback Control with Robustness Constraints.
03/2022: Check out our new paper: DeeP-LCC: Data-EnablEd Predictive Leading
Cruise Control in Mixed Traffic Flow; a short version has been accepted for presentation at ACC 2022.
03/2022: Three invited talks on recent results from our SOC lab.
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control at ISE Graduate Seminar Series, UIUC, hosted by Prof. Rasoul Etesami, March 04, 2022. Recorded video.
Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control at Control Seminars, University of Michigan, hosted by Prof. Peter Seiler, March 18, 2022, Recorded video.
Scalable Semidefinite and Polynomial Optimization via Matrix Decomposition, LANS seminars series at Argonne National Lab, hosted by Dr. Prasanna Balaprakash, March 23, 2022.
02/2022: Our paper Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic was accepted for presentation at ACC 2022.
01/2022: SOC lab has two papers accepted for publication:
2021
12/2021: Our paper: Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning was accepted for publication in the IEEE Transactions on Intelligent Transportation Systems.
12/2021: Invited talk on Landscape Analysis and Sample Complexity of Linear Quadratic Gaussian Control at Northeastern University, hosted by Prof. Tao Yang, Dec 2, 2021.
11/2021: Our paper: “Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations” was accepted for presentation at AAAI-22 (acceptance rate: 15%).
11/2021: Invited talk – INTR 6800 Seminar on Integrating Autonomy into Traffic Systems: Scalable Control and Optimization, hosted by Prof. Huan Yu, Hong Kong University of Science and Technology, Nov 08 2021.
10/2021: Three invited talks on recent results from our SOC lab.
Chordal Graphs, Semidefinite Optimization, and Sum-of-squares Matrices, Optimization and Data Science Seminar (Department of Mathematics, UCSD), Hosted by Prof. Jiawang Nie, Oct 27, 2021.
Learning, Optimization and Control for Large-scale Autonomous Systems, ECE 290 Seminar Series, Oct 22, 2021.
Landscape Analysis and Sample Complexity of Linear Quadratic Gaussian Control, Seminar at at Department of Automation, Tsinghua University, Hosted by Prof Keyou You, Oct 13, 2021.
10/2021: Check out our new paper: Data-Driven Predictive Control for Connected and Autonomous Vehicles in Mixed Traffic, in which we present a DeeP-LCC strategy for controlling autonomous vehicles in mixed traffic.
10/2021: SOC Lab has four papers accepted or conditionally accepted for publication:
10/2021: Feng-Yi Liao joined the SOC group. Welcome, Feng-Yi!
09/2021: Our paper: Leading Cruise Control in Mixed Traffic Flow: System Modeling, Controllability, and String Stability, was accepted for publication in the IEEE Transactions on Intelligent Transportation Systems.
09/2021: Our paper: Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization, was accepted for publication as an invited vision paper at Annual Reviews in Control.
08/2021: Stuart Boynton presented his SRIP results on mixed traffic systems at the Summer Research Conference (SRC) at UC San Diego. Congratulations!
07/2021: Our paper: “Formal Analysis of Neural Network-based Systems in the Aircraft Domain” was accepted for publication at the 24th International Symposium on Formal Methods (FM21).
07/2021: Check out our new survey paper: Chordal and factor-width decompositions for scalable semidefinite and polynomial optimization. 49 pages with 21 figures for illustrations!
07/2021: New version： Sum-of-squares chordal decomposition of polynomial matrix inequalities. We established sparsity-exploiting versions of the Hilbert–Artin, Reznick, Putinar, and Putinar–Vasilescu Positivstellensätze.
07/2021: Started at UC San Diego!
04/2021: Our paper: Efficient Neural Network Verification via Layer-based Semidefinite Relaxations and Linear Cuts was accepted for presentation at IJCAI-21 (the 30th International Joint Conference on Artificial Intelligence)
03/2021: Two papers related to learning for LQG were accepted to L4DC
01/2021: EECI Annual Seminar on Distributed control and scalable optimization for large-scale autonomy
2020
11/2020: Our paper: Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories was accepted for publication in the IEEE Control Systems Society Letters (L-CSS).
11/2020: Two new papers on the classical Linear Quadratic Gaussian Control (LQG) problem:
10/2020: I presented an invited talk on Integrating Autonomy into Traffic Systems: Scalable Control and Optimization in the IEEE IV 2020 Workshop on Internet of Things in Intelligent Transportation Systems: Opportunities and Challenges.
10/2020: Congratulations to Jiawei Wang for winning the National Scholarship at Tsinghua University!
09/2020: I started my new research associate position at Imperial College London, working with Prof. Alessio R. Lomuscio.
09/2020: Check out our new preprint on the formation of autonomous vehicles in mixed traffic: Cooperative Formation of Autonomous Vehicles in Mixed Traffic Flow: Beyond Platooning, where we investigate the impact of different formations of autonomous
vehicles on mixed traffic performance.
08/2020: A new preprint on LTI system identification: Non-asymptotic Identification of Linear Dynamical Systems Using Multiple Trajectories,
where we present a simple OLS estimator for partially observed LTI systems. Our method works for both open-loop stable and unstable systems.
07/2020: Check out our new preprint on polynomial matrix decomposition: Sum-of-squares chordal decomposition of polynomial matrix inequalities.
07/2020: Two papers: Impact of Disturbances on Mixed Traffic Control with Autonomous Vehicle, Leading Cruise Control in Mixed Traffic Flow, got accepted to the 59th IEEE Conference on Decision and Control.
07/2020: I'm honored to receive the 2019 European PhD Award on Control for Complex and Heterogeneous Systems, for my PhD thesis Chordal Sparsity in Control and Otimization of Large-scale Systems!
06/2020: Check out our new preprint on controller parameterizations: System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation.
06/2020: Our paper: Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles was accepted for publication in the IEEE Transactions on Intelligent Transportation Systems.
05/2020: Our paper: Sparsity Invariance for Convex Design of Distributed Controllers was accepted for publication in the IEEE Transactions on Control of Network Systems.
04/2020: I was awarded a Certificate of Distinction in Teaching for the Fall 2019 semester by the Office of Undergraduate Education at Harvard University;
03/2020: Our paper: Learning the Globally Optimal Distributed LQ Regulator was accepted by the 2nd L4DC 2020;
03/2020: Two papers: Optimal Formation of Autonomous Vehicles in Mixed Traffic Flow, Decomposed Structured Subsets for Semidefinite and Sum-of-Squares Optimization, got accepted by the 21st IFAC World Congress.
02/2020: Our paper: On the Equivalence of Youla, System-level and Input-output Parameterizations was accepted for publication in the IEEE Transactions on Automatic Control.
02/2020: Check out our new preprint on mixed traffic systems: Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles.
01/2020: Our paper: Smoothing Traffic Flow via Control of Autonomous Vehicles was accepted for publication in the IEEE Internet of Things Journal.
2019
12/2019: Our paper: Sparsity Invariance for Convex Design of Distributed Controllers was conditionally accepted for publication in the IEEE Transactions on Control of Network Systems.
12/2019: Check out our new preprint: Learning the Globally Optimal Distributed LQ Regulator
12/2019: I visited Prof. Karl H. Johansson's group at KTH from Dec 17 to Dec 19, and presented a seminar talk: Scalable Semidefinite and Sum-of-square Optimization via
Matrix Decomposition.
12/2019: I visited the Center of Innovation Automation at Volkswagen, Wolfsburg on 16 Dec, and presented a seminar talk: Smoothing Traffic Flow via Control of Autonomous Vehicles.
12/2019: I attended the CDC 2019 in Nice from Dec 10 to Dec 13, 2019. Check out my poster Large-scale Autonomy: Scalable Sparse Optimization and Distributed Control
11/2019: Our paper: On the Equivalence of Youla, System-level and Input-output Parameterizations was conditionally accepted for publication in the IEEE Transactions on Automatic Control.
10/2019: Our paper: On the Existence of Block-Diagonal Solutions to Lyapunov and Hinf Riccati Inequalities has been accepted for publication in the IEEE Transactions on Automatic Control.
09/2019: A new preprint on the convexity of stabilizing controllers: On the Parameterization of Stabilizing Controllers using Closed-loop Responses.
09/2019: I presented a poster on Large-scale Autonomy: Scalable Optimization and Distributed Control in the SEAS Seventh Annual Postdoc Recognition Event.
09/2019: Check out our new paper on semidefinite optimization: Block Factor-width-two Matrices and Their Applications to Semidefinite and Sum-of-squares Optimization.
08/2019: Our paper Distributed Design for Decentralized Control using Chordal Decomposition and ADMM has been accepted for publication in the IEEE Transactions on Control of Network Systems.
07/2019: Two papers accepted at CDC 2019: An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis,
and Chordal Decomposition in Rank Minimized Semidefinite Programs with Applications to Subspace Clustering.
07/2019: A new preprint on the parameterization of stabilizing controllers: On the Equivalence of Youla, System-level and Input-output Parameterizations.
07/2019: Attended ACC 2019 at Philadelphia. Check out my slides on sparse SOS optimization.
06/2019: We posted a new paper on distributed controller synthesis: Sparisity Invariance for Convex Design of Distributed Controllers.
06/2019: Our paper: On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers was selected as a finalist for the Best Student Paper Award at the European Control Conference (ECC 19).
05/2019: Attended the workshop on Learning for Dynamics and Control (L4DC) at MIT, and presented a poster on Chordal decomposition in rank minimized SDPs; see this paper for details.
05/2019: Congratulations to Aldis Elfarsdottir; she won the Dean's Award for her senior thesis on “Thermal Dynamic Model Development and Model Predictive Building Control using an Extensive Sensor Network”.
05/2019: Our paper An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis has been accepted for publication in the IEEE Control Systems Letters
(L-CSS).
04/2019: Our paper Controllability Analysis and Optimal Controller Synthesis of Mixed Traffic Systems was accepted to to IV 2019.
04/2019: I attended the Workshop on Innovative Optimization and Control Methods for Highly Distributed Autonomous Systems in Golden, CO.
03/2019: I received the 2018 Chinese Government Award for Outstanding Self-Financed Students Abroad.
03/2019: A new paper on chordal decomposition in SDPs with rank constraints: Chordal Decomposition in Rank Minimized Semidefinite Programs with Applications to Subspace Clustering.
03/2019: Our paper: Threat Assessment Techniques in Intelligent Vehicles: A Comparative Survey was accepted for publication in IEEE Intelligent Transportation Systems Magazine.
03/2019: Our paper: Reducing Time Headway for Platooning of Connected Vehicles via V2V Communication was accepted for publication in Transportation Research Part C: Emerging Technology.
03/2019: A new paper on input-ouput parameterization for decentralized control: An Input-Output Parametrization of Stabilizing Controllers: amidst Youla and System Level Synthesis.
03/2019: I started my new position as a postdoctoral scholar in SEAS and CGBC at Harvard University working with Prof. Na Li and
Prof. Ali Malkawi.
02/2019: Two papers: On separable quadratic Lyapunov functions for convex design of distributed controllers,
and Block factor-width-two matrices in semidefinite programming were accepted to to ECC 2019.
01/2019: Our paper Sparse sum-of-squares (SOS) optimization: A bridge between DSOS/SDSOS and SOS optimization for sparse polynomials
was accepted to ACC 2019.
01/2019: I sucessfully defended my DPhil (Ph.D.) thesis: Chordal sparsity in contorl and optimization of large-scale systems.
01/2019: Our paper: Chordal decomposition in operator-splitting methods for sparse semidefinite programs, was accepted for publication in Mathematical Programming. Codes are available on
Github: CDCS;
2018
12/2018: A new paper on mixed traffic systems: Smoothing traffic flow via control of autonomous vheicles;
12/2018: Our paper, Fast ADMM for sum-of-squares programs using partial orthogonality, was accepted in the IEEE Transactions on Automatic Control. Codes are available through the SOS option in CDCS.
11/2018: Seminar at UT Austin, Institute for Computational Engineering and Sciences, hosted by Prof. Ufuk Topcu, 8 November;
11/2018: invited talk in a general session: Large-scale conic optimization, at the INFORMS Annual Meeting;
10/2018: We submitted two papers to ECC 2019: On separable quadratic Lyapunov functions for convex design of distributed controllers, and Block factor-width-two matrices in semidefinite programming
09/2018: A new paper on reducing time headway for connected vehicles, Reducing Time Headway for Platooning of Connected Vehicles via V2V
Communication, submitted to TRC.
08/2018: Our paper, Cooperative control of heterogeneous connected vehicles under directed acyclic interactions, was accepted in the IEEE Intelligent Transportation Systems Magzine;
07/2018: I visited Prof. Lina at Harvard from 9th July to 13th July, and presented a seminar talk on chordal decomposition in sparse semidenite optimization and sum-of-squares (SOS) optimization;
07/2018: Seminar at Northeastern University, Departement of Electrial & Computer Engineering, hosted by Prof. Mario Sznaier, 13 July;
07/2018: I gave a seminar at LIDS, MIT, hosted by Prof. Pablo Parrilo, 12 July;
07/2018: A new paper on sparse SOS optimization: Sparse sum-of-squares (SOS) optimization: A bridge between DSOS/SDSOS and SOS optimization for sparse polynomials
07/2018: Our paper, Decomposition and completion of sum-of-squares matrices, was accepted to CDC 2018.
06/2018: Two papers, Parallel Optimal Control for Cooperative Automation of Large-scale
Connected Vehicles via ADMM, Reducing Time Headway for Platoons of Connected Vehicles via Multiple-Predecessor Following, were accepted to ITSC 2018.
05/2018: A new paper on connected vehicles: Cooperative control of heterogeneous connected vehicles under directed acyclic interactions.
04/2018: Our paper, Behavioral Cooperation of Multiple Connected Vehicles with Directed Acyclic Interactions using Feedforward-Feedback
Control, was accepted to AVEC 2018.
02/2018: Our paper Scalable analysis of linear networked systems via chordal decomposition was accepted to ECC 2018.
2017
12/2017: I attended the 56th CDC at Melbourne, Australia, and presented two papers: Block-Diagonal Solutions to Lyapunov Inequalities and Generalisations of Diagonal Dominance,
and Exploiting Sparsity in the Coefficient Matching Conditions in Sum-of-Squares Programs using ADMM.
A tutorial session was organized successfully; see our paper Improving efficiency and scalability of sum of squares optimization: recent advances and limitations.
09/2017: I presented a seminar talk on Analyis and Synthesis of Large-scale Networked Systems with Chordal Sparsity at Department of Automotive Engineering, Tsinghua University.
08/2017: A new paper on SOS programs: Fast ADMM for sum-of-squares programs
using partial orthogonality. Codes are available through the SOS option in CDCS.
07/2017: We are organizing a tutorial session on Improving efficiency and scalability of sum of squares optimization: recent advances and limitations at the CDC 2017.
07/2017: We submitted a paper: Chordal decomposition in operator-splitting methods for sparse semidefinite programs, to Mathematical Programming. Codes are available on
Github: CDCS;
07/2017: Our paper, Platooning of Connected Vehicles with Undirected Topologies: Robustness Analysis and Distributed H-infinity Controller Synthesis,
was accepted in the IEEE Transactions on Intelligent Transportation Systems;
06/2017: Our paper, Scalable Design of Structured Controllers using Chordal Decomposition,
was accepted as a full paper in the IEEE Transactions on Automatic Control;
06/2017: Visiting Lund University, Sweden for LCCC Workshop on Large-Scale and Distributed Optimization
from 13th June, 2017 to 30th June, 2017;
05/2017: Our paper, Crash probability estimation via quantifying driver hazard perception, was accepted in the Accident Analysis and Prevention (AAP).
05/2017: Our paper, Exploiting Sparsity in the Coefficient Matching Conditions in Sum-of-Squares Programs using ADMM,
was accepted in the IEEE Control Systems Letters (L-CSS). Codes are available on Github.
05/2017: I presented a seminar talk on Distributed Control of Connected Vehicles and
Fast ADMM for Sparse SDPs at the Advanced Vehicle Engineering Centre, Cranfield University on May 3, 2017.
04/2017: Our paper, Dynamical Modeling and Distributed Control of Connected and Automated Vehicles: Challenges and Opportunities,
was accepted in the IEEE Intelligent Transportation Systems Magazine.
02/2017: I presented a seminar talk on Fast ADMM for Semidefinite Programs (SDPs) with Chordal Sparsity at the School of Mathematics, University of Birmingham on Feb. 2, 2017.
2016
|