44 citations · 131 across the 43 of their papers we have counts for
6 papers · 1 filter
Funnel-Based Online Recovery Control for Nonlinear Systems With Unknown Dynamics
Zihao Song, Shirantha Welikala, Panos J. Antsaklis +1
In this paper, we focus on recovery control of nonlinear systems from attacks or failures. The main challenges of this problem lie in (1) learning the unknown dynamics caused by at…
Dissipativity-Based Synthesis of Distributed Control and Communication Topology Co-Design for AC Microgrids
Mohammad Javad Najafirad, Shirantha Welikala, Lei Wu +1
This paper introduces a dissipativity-based framework for the joint design of distributed controllers and communication topologies in AC microgrids (MGs), providing robust performa…
Hierarchical Analysis and Control of Epidemic Spreading over Networks using Dissipativity and Mesh Stability
Shirantha Welikala, Hai Lin, Panos J. Antsaklis
Analyzing and controlling spreading processes are challenging problems due to the involved non-linear node (subsystem) dynamics, unknown disturbances, complex interconnections, and…
Mesh Stability Guaranteed Rigid Body Networks Using Control and Topology Co-Design
Zihao Song, Shirantha Welikala, Panos J. Antsaklis +1
Merging and splitting are of great significance for rigid body networks in making such networks reconfigurable. The main challenges lie in simultaneously ensuring the compositional…
Graph Neural Network-Based Distributed Optimal Control for Linear Networked Systems: An Online Distributed Training Approach
Zihao Song, Shirantha Welikala, Panos J. Antsaklis +1
In this paper, we consider the distributed optimal control problem for discrete-time linear networked systems. In particular, we are interested in learning distributed optimal cont…
Inventory Consensus Control in Supply Chain Networks using Dissipativity-Based Control and Topology Co-Design
Shirantha Welikala, Hai Lin, Panos J. Antsaklis
Recent global and local phenomena have exposed vulnerabilities in critical supply chain networks (SCNs), drawing significant attention from researchers across various fields. Typic…