Approximate information states for worst-case control and learning in uncertain systems
A Dave, N Venkatesh… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In this paper, we investigate discrete-time decision-making problems in uncertain systems
with partially observed states. We consider a non-stochastic model, where uncontrolled …
with partially observed states. We consider a non-stochastic model, where uncontrolled …
Worst-case control and learning using partial observations over an infinite time horizon
Safety-critical cyber-physical systems require control strategies whose worst-case
performance is robust against adversarial disturbances and modeling uncertainties. In this …
performance is robust against adversarial disturbances and modeling uncertainties. In this …
Approximate information states for worst-case control of uncertain systems
A Dave, N Venkatesh… - 2022 IEEE 61st …, 2022 - ieeexplore.ieee.org
In this paper, we investigate a worst-case-scenario control problem with a partially observed
state. We consider a non-stochastic formulation, where noises and disturbances in our …
state. We consider a non-stochastic formulation, where noises and disturbances in our …
Decentralized control of two agents with nested accessible information
A Dave, N Venkatesh… - 2022 American Control …, 2022 - ieeexplore.ieee.org
In this paper, we investigate a decentralized stochastic control problem with two agents,
where a part of the memory of the second agent is also available to the first agent at each …
where a part of the memory of the second agent is also available to the first agent at each …
On robust control of partially observed uncertain systems with additive costs
A Dave, N Venkatesh… - 2023 American Control …, 2023 - ieeexplore.ieee.org
In this paper, we consider the problem of optimizing the worst-case behavior of a partially
observed system. All uncontrolled disturbances are modeled as finite-valued uncertain …
observed system. All uncontrolled disturbances are modeled as finite-valued uncertain …
Stochastic control with distributionally robust constraints for cyber-physical systems vulnerable to attacks
In this paper, we investigate the control of a cyber–physical system (CPS) while accounting
for its vulnerability to external attacks. We formulate a constrained stochastic problem with a …
for its vulnerability to external attacks. We formulate a constrained stochastic problem with a …
A Note for CPS Data-driven Approaches Developed in the IDS Lab
AA Malikopoulos - arXiv preprint arXiv:2406.15496, 2024 - arxiv.org
The rapid evolution of Cyber-Physical Systems (CPS) across various domains like mobility
systems, networked control systems, sustainable manufacturing, smart power grids, and the …
systems, networked control systems, sustainable manufacturing, smart power grids, and the …
[PDF][PDF] On non-stochastic approximate information states for uncertain systems with additive costs
In this paper, we consider the problem of optimizing the worst-case behavior of a partially
observed system. All uncontrolled disturbances of the system are modeled as non-stochastic …
observed system. All uncontrolled disturbances of the system are modeled as non-stochastic …
Analysis, Optimization, Control, and Learning of Cyber-Physical Systems
A Malikopoulos - arXiv preprint arXiv:2109.09055, 2021 - arxiv.org
The overarching goal of the Information and Decision Science (IDS) Lab is to enhance
understanding of complex systems and establish a holistic, multifaceted approach using …
understanding of complex systems and establish a holistic, multifaceted approach using …
[图书][B] Real-time motion planning framework for connected and automated vehicles: from theory to scaled experiments
B Chalaki - 2022 - search.proquest.com
Traffic congestion has been persistently growing in the US from 1982 to 2020 since road
capacity has not grown at the same pace as the population in urban areas. In 2019, traffic …
capacity has not grown at the same pace as the population in urban areas. In 2019, traffic …