38 citations · 49 across the 10 of their papers we have counts for
10 papers
Fast and Accurate Multi-Agent Trajectory Prediction For Crowded Unknown Scenes
Xiuye Tao, Huiping Li, Bin Liang +2
This paper studies the problem of multi-agent trajectory prediction in crowded unknown environments. A novel energy function optimization-based framework is proposed to generate pr…
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…
Economic MPC-based planning for marine vehicles: Tuning safety and energy efficiency
Haojiao Liang, Huiping Li, Jian Gao +2
Energy efficiency and safety are two critical objectives for marine vehicles operating in environments with obstacles, and they generally conflict with each other. In this paper, w…
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…
Accelerated Dual Averaging Methods for Decentralized Constrained Optimization
Changxin Liu, Yang Shi, Huiping Li +1
In this work, we study decentralized convex constrained optimization problems in networks. We focus on the dual averaging-based algorithmic framework that is well-documented to be…
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…
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…
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…
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…
Receding Horizon Control Based Consensus Scheme in General Linear Multi-agent Systems
Huiping Li, Weisheng Yan
This paper investigates the consensus problem of general linear multi-agent systems under the framework of optimization. A novel distributed receding horizon control (RHC) strategy…