Research

Over the past two decades, state estimation with sensor networks has received increasing research attention due to a wide range of practical applications, e.g., in industrial production, environmental protection and automatic vehicle. In particular, how to realize distributed state estimation without accurate system models for dynamical systems is becoming a strategic research direction in many fields. For this issue, we have designed two classes of distributed state estimation methods for uncertain systems. Relevant works:

• Distributed State Estimation for Uncertain Linear Systems: A Regularized Least-Squares Approach

• Distributed State Estimation for Uncertain Linear Systems with A Recursive Architecture

• Resilient State Estimation for Complex Dynamic Networks with System Model Perturbation

• Distributed State Estimation for Continuous-Time Linear Systems with Correlated Measurement Noise

• Optimal Sensor Scheduling for Complex Networks Under A Distributed Remote Estimation Framework

• Fully Distributed Filtering with A Stochastic Event-Triggered Mechanism

By leveraging information sharing and collaboration among individuals, multi-agent systems are expected to achieve high-level swarm intelligence, applicable to more complex application scenarios. For distributed state estimation and control issues of multi-agent systems, how to realize self-organization design and implementation of individuals for estimation and control strategies is not only of theoretical significance, but also of practical values. For this issue, we have developed a class of self-organizing control frameworks for multi-agent systems. Relevant works:

• Privacy-Preserving Cooperative Control of Multi-Channel Systems with Self-Organizing Agents

• Linear Quadratic Regulator Design for Multi-Input Systems with a Distributed Cooperative Strategy

• Task-Space Fully Distributed Tracking Control of Networked Uncertain Robotic Manipulators without Velocity Measurements

• Relative State Formation-based Warehouse Multi-robot Collaborative Parcel Moving

• Event-based Distributed Tracking Control for Second-order Multi-Agent Systems with Switching Networks

• Leader-Following Consensus of Multi-Agent Systems with Switching Networks and Event-Triggered Control