Related Experiment Video
Updated: Jan 17, 2026

The HoneyComb Paradigm for Research on Collective Human Behavior
Published on: January 19, 2019
Fully distributed output formation-containment control of heterogeneous multi-agent systems via adaptive observer
Xiaojie Sun1, Jie Zhang1, Yu Hou1
1School of Electronics Information Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China.
This study addresses the distributed output formation-containment problem for multi-agent systems (MASs) with limited leader information. A novel adaptive observer and control framework enables followers to achieve containment despite incomplete data access.
Area of Science:
- Control Systems Engineering
- Networked Systems
- Robotics
Background:
- Multi-agent systems (MASs) present challenges in distributed control when not all agents have complete information.
- The formation-containment problem requires agents to achieve a specific spatial arrangement while staying within a defined region controlled by leaders.
Purpose of the Study:
- To solve the distributed output formation-containment problem for heterogeneous linear MASs.
- To develop a fully distributed control framework for scenarios where followers have limited access to leader information.
Main Methods:
- The problem is reformulated as a cooperative output regulation problem.
- A fully adaptive observer is designed to reconstruct system matrices and states without global topology.
- Adaptive regulator equations are developed to handle time-varying estimated system matrices.
Main Results:
- A novel distributed control framework is proposed using adaptive observers and regulators.
- Both state and output feedback control strategies are presented.
- The method eliminates the need for global topological information in observer design.
Conclusions:
- The developed adaptive observer and control framework effectively solves the distributed output formation-containment problem for heterogeneous MASs.
- The proposed approach offers a robust solution for MASs with partial information access, validated through simulations.
Related Concept Videos
Actor-Observer Effect
Multi-input and Multi-variable systems
In the absence of...
Control Systems
At the heart...
Feedback control systems
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Open and closed-loop control systems
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
BIBO stability of continuous and discrete -time systems
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
