activity
20182022
most citedPolicy Learning for Nonlinear Model Predictive Control with Application to USVs

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO20221 cited

Policy Learning for Nonlinear Model Predictive Control with Application to USVs

Rizhong Wang, Huiping Li, Bin Liang +2

The unaffordable computation load of nonlinear model predictive control (NMPC) has prevented it for being used in robots with high sampling rates for decades. This paper is concern…

eess.SY2021

Stochastic Model Predictive Control for Linear Systems with Unbounded Additive Uncertainties

Fei Li, Huiping Li, Yuyao He

This paper presents two stochastic model predictive control methods for linear time-invariant systems subject to unbounded additive uncertainties. The new methods are developed by…

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.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.OC2018

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…