167 citations · 307 across the 20 of their papers we have counts for
20 papers
Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence
Changxin Liu, Zirui Zhou, Jian Pei +2
Decentralized optimization, particularly the class of decentralized composite convex optimization (DCCO) problems, has found many applications. Due to ubiquitous communication cong…
Self-triggered min-max DMPC for asynchronous multi-agent systems with communication delays
Henglai Wei, Kunwu Zhang, Yang Shi
This paper studies the formation stabilization problem of asynchronous nonlinear multi-agent systems (MAS) subject to parametric uncertainties, external disturbances and bounded ti…
Optimal Power Control for DoS Attack over Fading Channel: A Game-Theoretic Approach
Jie Wang, Jiahu Qin, Menglin Li +1
In this paper, we investigate remote state estimation against an intelligent denial-of-service (DoS) attack over a vulnerable wireless network whose channel undergoes attenuation a…
Self-Triggered Adaptive Model Predictive Control of Constrained Nonlinear Systems: A Min-Max Approach
Kunwu Zhang, Changxin Liu, Yang Shi
In this paper, a self-triggered adaptive model predictive control (MPC) algorithm is proposed for constrained discrete-time nonlinear systems subject to parametric uncertainties an…
Towards an convergence rate for distributed dual averaging
Changxin Liu, Huiping Li, Yang Shi
Recently, distributed dual averaging has received increasing attention due to its superiority in handling constraints and dynamic networks in multiagent optimization. However, all…
Contraction Analysis on Primal-Dual Gradient Optimization
Yanxu Su, Yang Shi, Changyin Sun
This paper analyzes the contraction of the primal-dual gradient optimization via contraction theory in the context of discrete-time updating dynamics. The contraction theory based…
Distributed Model Predictive Control Under Inexact Primal-Dual Gradient Optimization Based on Contraction Analysis
Yanxu Su, Yang Shi, Changyin Sun
This paper develops a distributed model predictive control (DMPC) strategy for a class of discrete-time linear systems with consideration of globally coupled constraints. The DMPC…
Connectivity-Preserving Swarm Teleoperation Over A Tree Network With Time-Varying Delays
Yuan Yang, Yang Shi, Daniela Constantinescu
A teleoperated swarm must follow the unpredictable commands of its human operator while remaining connected. When the swarm communications are limited by distance and affected by d…
Resource-aware Exact Decentralized Optimization Using Event-triggered Broadcasting
Changxin Liu, Huiping Li, Yang Shi
This work addresses the decentralized optimization problem where a group of agents with coupled private objective functions work together to exactly optimize the summation of local…
Dynamic Interconnection and Damping Injection for Input-to-State Stable Bilateral Teleoperation
Yuan Yang, Daniela Constantinescu, Yang Shi
In bilateral teleoperation, the human who operates the master and the environment which interacts with the slave are part of the force feedback loop. Yet, both have time-varying an…
Adaptive Model Predictive Control for A Class of Constrained Linear Systems with Parametric Uncertainties
Kunwu Zhang, Yang Shi
This paper investigates adaptive model predictive control (MPC) for a class of constrained linear systems with unknown model parameters. This is also posed as the dual control prob…
Connectivity-Preserving Swarm Teleoperation With A Tree Network
Yuan Yang, Daniela Constantinescu, Yang Shi
During swarm teleoperation, the human operator may threaten the distance-dependent inter-robot communications and, with them, the connectivity of the slave swarm. To prevent the ha…
A unitary distributed subgradient method for multi-agent optimization with different coupling sources
Changxin Liu, Huiping Li, Yang Shi
In this work, we first consider distributed convex constrained optimization problems where the objective function is encoded by multiple local and possibly nonsmooth objectives pri…
Integral-Type Event-Triggered Model Predictive Control of Nonlinear Systems with Additive Disturbance
Qi Sun, Jicheng Chen, Yang Shi
This paper studies integral-type event-triggered model predictive control (MPC) of continuous-time nonlinear systems. An integral-type event-triggered mechanism is proposed by inco…
Bounded Connectivity-Preserving Coordination of Networked Euler-Lagrange Systems
Yuan Yang, Daniela Constantinescu, Yang Shi
This paper derives sufficient conditions for bounded distributed connectivity-preserving coordination of Euler-Lagrange systems with only position measurements and with system unce…
Globally Stable Output Feedback Synchronization of Teleoperation with Time-Varying Delays
Yuan Yang, Daniela Constantinescu, Yang Shi
This paper presents a globally stable teleoperation control strategy for systems with time-varying delays that eliminates the need for velocity measurements through novel augmented…
Connectivity-Preserving Coordination Control of Multi-Agent Systems with Time-Varying Delays
Yuan Yang, Yang Shi, Daniela Constantinescu
This paper presents a distributed position synchronization strategy that also preserves the initial communication links for single-integrator multi-agent systems with time-varying…
Decentralized Charging Control of Electric Vehicles in Residential Distribution Networks
Mingxi Liu, Phillippe K. Phanivong, Yang Shi +1
Electric vehicle (EV) charging can negatively impact electric distribution networks by exceeding equipment thermal ratings and causing voltages to drop below standard ranges. In th…
Robustness Analysis of Asynchronous Sampled-Data Multi-Agent Networks With Time-Varying Delays
Feng Xiao, Yang Shi, Wei Ren
In this paper, we study the simultaneous stability problem of a finite number of locally inter-connected linear subsystems under practical constraints, including asynchronous and a…
Receding Horizon Consensus of General Linear Multi-agent Systems with Input Constraints: An Inverse Optimality Approach
Huiping Li, Weisheng Yan, Yang Shi +1
It is desirable but challenging to fulfill system constraints and reach optimal performance in consensus protocol design for practical multi-agent systems (MASs). This paper invest…