no code implementations • 23 Jan 2024 • Zeze Chang, Junjie Jiao, Zhongkui Li
This paper considers a localized data-driven consensus problem for leader-follower multi-agent systems with unknown discrete-time agent dynamics, where each follower computes its local control gain using only their locally collected state and input data.
no code implementations • 19 Nov 2023 • Yuan Gao, Junjie Jiao, Zhongkui Li, Sandra Hirche
The aim is to design a distributed protocol by dynamic output feedback that achieves state/output containment control while the associated H2 cost is smaller than an a priori given upper bound.
no code implementations • 18 May 2023 • Yanting Ni, Xuyang Lou, Junjie Jiao, Jiajia Jia
The article addresses the problem of strong structural controllability of structured networks with multi-input multi-output (MIMO) node systems.
no code implementations • 11 Apr 2023 • Xiaobing Dai, Huanzhuo Wu, Siyi Wang, Junjie Jiao, Giang T. Nguyen, Frank H. P. Fitzek, Sandra Hirche
We adopt the concept of field Kalman filtering, where the dual estimation problem is decomposed into a fast state estimation process and a computationally expensive parameter estimation process.
no code implementations • 14 Apr 2022 • Zhongkui Li, Junjie Jiao, Xiang Chen
A novel two-step complementary design approach is proposed.
no code implementations • 29 Mar 2021 • Zewen Yang, Stefan Sosnowski, Qingchen Liu, Junjie Jiao, Armin Lederer, Sandra Hirche
In this paper, a distributed learning leader-follower consensus protocol based on Gaussian process regression for a class of nonlinear multi-agent systems with unknown dynamics is designed.