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20172020
most citedContraction Analysis on Primal-Dual Gradient Optimization

2 citations · 3 across the 7 of their papers we have counts for

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13 papers · 1 filter

math.OC2019

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…

math.OC2019

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…

math.OC20192 cited

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…

math.OC2019

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…

math.OC2019

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…

math.OC2019

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…