Distributed differential dynamic programming architectures for large-scale multiagent control
AD Saravanos, Y Aoyama, H Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article proposes two decentralized multiagent optimal control methods that combine the
computational efficiency and scalability of differential dynamic programming (DDP) and the …
computational efficiency and scalability of differential dynamic programming (DDP) and the …
Density steering of gaussian mixture models for discrete-time linear systems
In this paper, we study the finite-horizon optimal density steering problem for discrete-time
stochastic linear dynamical systems for the case when the state distribution can be …
stochastic linear dynamical systems for the case when the state distribution can be …
Multi-agent distributed optimal control for tracking large-scale multi-target systems in dynamic environments
AZ Abdulghafoor, E Bakolas - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article considers the problem of motion coordination for a multiagent (MA) network
whose goal is to track a large-scale multitarget (MT) system in a region populated by …
whose goal is to track a large-scale multitarget (MT) system in a region populated by …
Distributed hierarchical distribution control for very-large-scale clustered multi-agent systems
AD Saravanos, Y Li, EA Theodorou - arXiv preprint arXiv:2305.18718, 2023 - arxiv.org
As the scale and complexity of multi-agent robotic systems are subject to a continuous
increase, this paper considers a class of systems labeled as Very-Large-Scale Multi-Agent …
increase, this paper considers a class of systems labeled as Very-Large-Scale Multi-Agent …
Risk-aware motion planning for very-large-scale robotics systems using conditional value-at-risk
Abstract The field of Very-Large-Scale Robotics (VLSR) has garnered significant attention
due to its ability to tackle complex and coordinated tasks. However, current motion planning …
due to its ability to tackle complex and coordinated tasks. However, current motion planning …
Theory of Optimal Transportation over LQR: Free-Final-States Compared to Fixed-Final-States
MH Azad, N Assadian - IEEE Access, 2024 - ieeexplore.ieee.org
In this paper, we address the optimal transport problem over a linear quadratic regulator with
free-final-states (the free OT-LQR problem). We prove the existence and uniqueness of the …
free-final-states (the free OT-LQR problem). We prove the existence and uniqueness of the …
Online synthesis for runtime enforcement of safety in multiagent systems
We study the problem of enforcing safety in multiagent systems at runtime by modifying the
system behavior if a potential safety violation is detected. Traditional runtime enforcement …
system behavior if a potential safety violation is detected. Traditional runtime enforcement …
SwarmCVT: Centroidal Voronoi Tessellation-Based Path Planning for Very-Large-Scale Robotics
Swarm robotics, or very large-scale robotics (VLSR), has many meaningful applications for
complicated tasks. However, the complexity of motion control and energy costs stack up …
complicated tasks. However, the complexity of motion control and energy costs stack up …
SwarmPRM: Probabilistic Roadmap Motion Planning for Swarm Robotic Systems
Swarm robotic systems consisting of large-scale cooperative agents hold promise for
performing autonomous tasks in diverse fields. However, existing planning strategies for …
performing autonomous tasks in diverse fields. However, existing planning strategies for …
A distributed hierarchical iterative learning control framework
SS Igram - 2022 - ideals.illinois.edu
Industrial processes, networked systems, and high-precision instruments often involve many
subsystems operating in unison on a mutual task. These processes are commonly referred …
subsystems operating in unison on a mutual task. These processes are commonly referred …