326 citations · 676 across the 13 of their papers we have counts for
14 papers
Data-Driven Inverse Reinforcement Learning for Expert-Learner Zero-Sum Games
Wenqian Xue, Bosen Lian, Jialu Fan +2
In this paper, we formulate inverse reinforcement learning (IRL) as an expert-learner interaction whereby the optimal performance intent of an expert or target agent is unknown to…
Prescribed-Time Control and Its Latest Developments
Hefu Ye, Yongduan Song, Frank L. Lewis
Prescribed-time (PT) control, originated from \textit{Song et al.}, has gained increasing attention among control community. The salient feature of PT control lies in its ability t…
Learning nonlinear dynamics in synchronization of knowledge-based leader-following networks
Shimin Wang, Xiangyu Meng, Hongwei Zhang +1
Knowledge-based leader-following synchronization of heterogeneous nonlinear multi-agent systems is a challenging problem since the leader's dynamic information is unknown to any fo…
Online Model-Free Reinforcement Learning for the Automatic Control of a Flexible Wing Aircraft
Mohammed Abouheaf, Wail Gueaieb, Frank Lewis
The control problem of the flexible wing aircraft is challenging due to the prevailing and high nonlinear deformations in the flexible wing system. This urged for new control mecha…
Sequential Convex Programming for Collaboration of Connected and Automated Vehicles
Xiaoxue Zhang, Jun Ma, Zilong Cheng +2
This paper investigates the collaboration of multiple connected and automated vehicles (CAVs) in different scenarios. In general, the collaboration of CAVs can be formulated as a n…
Semi-Definite Relaxation Based ADMM for Cooperative Planning and Control of Connected Autonomous Vehicles
Xiaoxue Zhang, Zilong Cheng, Jun Ma +3
This paper investigates the cooperative planning and control problem for multiple connected autonomous vehicles (CAVs) in different scenarios. In the existing literature, most of t…
Local Policy Optimization for Trajectory-Centric Reinforcement Learning
Patrik Kolaric, Devesh K. Jha, Arvind U. Raghunathan +4
The goal of this paper is to present a method for simultaneous trajectory and local stabilizing policy optimization to generate local policies for trajectory-centric model-based re…
On the Identifiability of the Influence Model for Stochastic Spatiotemporal Spread Processes
Chenyuan He, Yan Wan, Frank L. Lewis
The influence model is a discrete-time stochastic model that succinctly captures the interactions of a network of Markov chains. The model produces a reduced-order representation o…
Neuro-adaptive Cooperative Tracking Control with Prescribed Performance of Unknown Higher-order Nonlinear Multi-agent Systems
Hashim A. Hashim, Sami El-Ferik, Frank L. Lewis
This paper is concerned with the design of a distributed cooperative synchronization controller for a class of higher-order nonlinear multi-agent systems. The objective is to achie…
Adaptive synchronisation of unknown nonlinear networked systems with prescribed performance
Hashim A. Hashim, Sami El-Ferik, Frank L. Lewis
This paper proposes an adaptive tracking control with prescribed performance function for distributive cooperative control of highly nonlinear multi-agent systems. The use of such…
Neuro-adaptive distributed control with prescribed performance for the synchronization of unknown nonlinear networked systems
Sami El-Ferik, Hashim. A. Hashim, Frank L. Lewis
This paper proposes a neuro-adaptive distributive cooperative tracking control with prescribed performance function (PPF) for highly nonlinear multi-agent systems. PPF allows error…
A Unified Strategy for Solution Seeking in Graphical N-coalition Noncooperative Games
Maojiao Ye, Guoqiang Hu, Frank L. Lewis +1
This paper aims to reduce the communication and computation costs of the Nash equilibrium seeking strategy for the -coalition noncooperative games proposed in [1]. The objective…
Distributed Nonlinear MPC of Multi-Agent Systems with Data Compression and Random Delays - Extended Version
Sami El-Ferik, Bilal A. Siddiqui, Frank L. Lewis
This is an extended version of a technical note accepted for publication in IEEE Transactions on Automatic Control. The note proposes an Input to State practically Stable (ISpS) fo…
Distributed Robust Consensus Control of Multi-agent Systems with Heterogeneous Matching Uncertainties
Zhongkui Li, Zhisheng Duan, Frank Lewis
This paper considers the distributed consensus problem of linear multi-agent systems subject to different matching uncertainties for both the cases without and with a leader of bou…