57 citations · 136 across the 36 of their papers we have counts for
7 papers · 1 filter
Decomposability and Parallel Computation of Multi-Agent LQR
Gangshan Jing, He Bai, Jemin George +1
Individual agents in a multi-agent system (MAS) may have decoupled open-loop dynamics, but a cooperative control objective usually results in coupled closed-loop dynamics thereby m…
Model-Free Optimal Control of Linear Multi-Agent Systems via Decomposition and Hierarchical Approximation
Gangshan Jing, He Bai, Jemin George +1
Designing the optimal linear quadratic regulator (LQR) for a large-scale multi-agent system (MAS) is time-consuming since it involves solving a large-size matrix Riccati equation.…
Hierarchical Control of Multi-Agent Systems using Online Reinforcement Learning
He Bai, Jemin George, Aranya Chakrabortty
We propose a new reinforcement learning based approach to designing hierarchical linear quadratic regulator (LQR) controllers for heterogeneous linear multi-agent systems with unkn…
A Stackelberg Security Investment Game for Voltage Stability of Power Systems
Lu An, Aranya Chakrabortty, Alexandra Duel-Hallen
We formulate a Stackelberg game between an attacker and a defender of a power system. The attacker attempts to alter the load setpoints of the power system covertly and intelligent…
Reduced-Dimensional Reinforcement Learning Control using Singular Perturbation Approximations
Sayak Mukherjee, He Bai, Aranya Chakrabortty
We present a set of model-free, reduced-dimensional reinforcement learning (RL) based optimal control designs for linear time-invariant singularly perturbed (SP) systems. We first…
Co-Design of Delays and Sparse Controllers for Bandwidth-Constrained Cyber-Physical Systems
Nandini Negi, Aranya Chakrabortty
We address the problem of sparsity-promoting optimal control of cyber-physical systems with feedback delays. The delays are categorized into two classes - namely, intra-layer delay…
Efficient Algorithms for Eigensystem Realization using Randomized SVD
Rachel Minster, Arvind K. Saibaba, Jishnudeep Kar +1
Eigensystem Realization Algorithm (ERA) is a data-driven approach for subspace system identification and is widely used in many areas of engineering. However, the computational cos…