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 • 15 Mar 2023 • Jiachen Qian, Zhisheng Duan, Peihu Duan, Zhongkui Li
This paper aims to consider the observation problem of periodic systems by bridging two fundamental filtering algorithms for periodic systems with a sensor network: consensus-on-measurement-based distributed filtering (CMDF) and centralized Kalman filtering (CKF).
no code implementations • 23 Feb 2023 • Xiaodong He, Zhongkui Li, Xiangke Wang, Zhiyong Geng
Secondly, given feasible formations, we design a formation controller by introducing a virtual leader and employing the compensation of rotation, followed by proving the stability of the closed-loop system.
no code implementations • 26 Oct 2022 • Bin Cheng, Yuezu Lv, Zhongkui Li, Zhisheng Duan
Noting that the existing related results only meeting one or two demands at most are essentially not applicable, in this paper we establish a novel framework to solve the problem of fully distributed consensus with discrete communication and control.
no code implementations • 6 Oct 2022 • Yuezu Lv, Zhongkui Li, Zhisheng Duan
Based on the reconstructed model, the minimal-order appointed-time unknown input observer is presented to realize state estimation of linear system with the unknown input at the arbitrarily small preset time.
no code implementations • 14 Apr 2022 • Zhongkui Li, Junjie Jiao, Xiang Chen
A novel two-step complementary design approach is proposed.
no code implementations • 4 Mar 2022 • Shiqi Zhang, Zhongkui Li
In both cases, quantitative relationships among the parameters of the controllers, the Laplacian matrix of the network topology, and the robustness against aperiodic event triggering and frequency-domain uncertainties are unveiled.
no code implementations • 4 Mar 2022 • Shiqi Zhang, Zhongkui Li
It is revealed that in static or dynamic event triggering mechanisms, the sampling errors are images of affine operators acting on the sampled outputs.
no code implementations • 6 Sep 2021 • Yi Xiong, Zhongkui Li
In the scrambling phase, each agent is required to generate some perturbation signals and add them to the edges leading out of it.
no code implementations • 28 May 2021 • Zhiyong Sun, Anders Rantzer, Zhongkui Li, Anders Robertsson
In this paper we consider distributed adaptive stabilization for uncertain multivariable linear systems with a time-varying diagonal matrix gain.