Robust policy iteration of uncertain interconnected systems with imperfect data
This paper investigates the robust optimal control problem of a class of continuous-time,
partially linear, interconnected systems. In addition to the dynamic uncertainties resulted …
partially linear, interconnected systems. In addition to the dynamic uncertainties resulted …
Robust control design for linear systems via multiplicative noise
Robust stability and stochastic stability have separately seen intense study in control theory
for many decades. In this work we establish relations between these properties for discrete …
for many decades. In this work we establish relations between these properties for discrete …
Adaptive exploration policy for exploration–exploitation tradeoff in continuous action control optimization
M Li, T Huang, W Zhu - International Journal of Machine Learning and …, 2021 - Springer
The optimization of continuous action control is an important research field. It aims to find
optimal decisions by the experience of making decisions in a continuous action control task …
optimal decisions by the experience of making decisions in a continuous action control task …
Safe learning LQR of linear dynamics with multiplicative noise
P Coppens, P Patrinos - arXiv preprint arXiv:2207.06062, 2022 - arxiv.org
Control of linear dynamics with multiplicative noise naturally introduces robustness against
dynamical uncertainty. Moreover, many physical systems are subject to multiplicative …
dynamical uncertainty. Moreover, many physical systems are subject to multiplicative …
Provably stable learning control of linear dynamics with multiplicative noise
P Coppens, P Patrinos - IEEE Transactions on Automatic …, 2023 - ieeexplore.ieee.org
Control of linear dynamics with multiplicative noise naturally introduces robustness against
dynamical uncertainty. Moreover, many physical systems are subject to multiplicative …
dynamical uncertainty. Moreover, many physical systems are subject to multiplicative …
Stochastic stability via robustness of linear systems
Robust stability and stochastic stability have separately seen intense study in control theory
since its inception. In this work we establish relations between these properties for discrete …
since its inception. In this work we establish relations between these properties for discrete …
Policy iteration for multiplicative noise output feedback control
We propose a policy iteration algorithm for solving the multiplicative noise linear quadratic
output feedback design problem. The algorithm solves a set of coupled Riccati equations for …
output feedback design problem. The algorithm solves a set of coupled Riccati equations for …
Exploration Decay Policy (EDP) to Enhanced Exploration-Exploitation Trade-Off in DDPG for Continuous Action Control Optimization
The optimization of continuous action control tasks is a crucial step in deep reinforcement
learning (DRL) applications. The goal is to identify optimal actions through the accumulation …
learning (DRL) applications. The goal is to identify optimal actions through the accumulation …
Conformal Robust Control of Linear Systems
End-to-end engineering design pipelines, in which designs are evaluated using
concurrently defined optimal controllers, are becoming increasingly common in practice. To …
concurrently defined optimal controllers, are becoming increasingly common in practice. To …
Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise
We propose a robust data-driven output feedback control algorithm that explicitly
incorporates inherent finite-sample model estimate uncertainties into the control design. The …
incorporates inherent finite-sample model estimate uncertainties into the control design. The …