activity
20242026
collaborators

9 papers

eess.SY2026

On Optimal Event-Triggered Distributed Control for Stochastic Multi-Agent Systems via Reinforcement Learning

Ziming Wang, Bingbing Li, Karl H. Johansson +1

We propose a reinforcement learning (RL) based optimal distributed control algorithm for the multi-agent systems (MASs) with stochastic uncertainties. Unlike existing methods, duri…

eess.SY2026

Cooperative Switched Formation Control of Autonomous Vehicles: An Event-triggered Approach to Input Saturation and Time-delay Challenges

Ziming Wang, Guanxuan Jiang, Yihuai Zhang +2

This paper presents a collaborative adaptive formation control framework for autonomous vehicles (AVs), that explicitly handles system uncertainties, input saturation, and communic…

eess.SY2026

On Switched Event-triggered Full State-constrained Formation Control for Multi-vehicle Systems

Zihan Li, Ziming Wang, Xin Wang

Vehicular formation control is an important component of intelligent transportation systems (ITSs). In practical implementations, the controller design needs to satisfy multiple st…

eess.SY2026

Neural-network-based Self-triggered Observed Platoon Control for Autonomous Vehicles

Zihan Li, Ziming Wang, Chenning Liu +1

This paper investigates autonomous vehicle (AV) platoon control under uncertain dynamics and intermittent communication, which remains a critical challenge in intelligent transport…

eess.SY2025

Fixed-Time Voltage Regulation for Boost Converters via Unit-Safe Saturating Functions

Yiwei Liu, Ziming Wang, Xin Wang +1

This paper explores the voltage regulation challenges in boost converter systems, which are critical components in power electronics due to their ability to step up voltage levels…

eess.SY2025

Adaptive Event-triggered Formation Control of Autonomous Vehicles

Ziming Wang, Yihuai Zhang, Chenguang Zhao +1

This paper presents adaptive event-triggered formation control strategies for autonomous vehicles (AVs) subject to longitudinal and lateral motion uncertainties. The proposed frame…