A lattice sandwich structure with the active variable stiffness device under aerodynamical condition
Y Zhang, Z Li, K Xu, J Zang - Aerospace Science and Technology, 2021 - Elsevier
Herein, a novel pyramid lattice sandwich structure with the active variable stiffness (AVS) is
proposed, which consists of a proportion integration (PI) active controller, a piezoelectric …
proposed, which consists of a proportion integration (PI) active controller, a piezoelectric …
Learning-based actuator selection for increased attack resilience of uncertain systems
F Fotiadis, KG Vamvoudakis - Automatica, 2024 - Elsevier
In this paper, we consider a security-aware and learning-based actuator selection
formulation for cyber–physical systems. A set of actuators is chosen to be used by the …
formulation for cyber–physical systems. A set of actuators is chosen to be used by the …
Duality between controllability and observability for target control and estimation in networks
Controllability and observability are properties that establish the existence of full-state
controllers and observers, respectively. The notions of output controllability and functional …
controllers and observers, respectively. The notions of output controllability and functional …
[HTML][HTML] Real-time sensor selection for time-varying networks with guaranteed performance
R Vafaee, M Siami - Automatica, 2024 - Elsevier
This study addresses the challenge of selecting sensors for linear time-varying (LTV)
systems dynamically. We present a framework that designs an online sparse sensor …
systems dynamically. We present a framework that designs an online sparse sensor …
Learning-based sensor selection with guaranteed performance bounds
R Vafaee, M Siami - 2022 American Control Conference (ACC), 2022 - ieeexplore.ieee.org
In this paper, we consider the problem of sensor selection for discrete-time linear dynamical
networks. We develop a framework to design a sparse sensor schedule for a given large …
networks. We develop a framework to design a sparse sensor schedule for a given large …
On-the-fly sensor scheduling with performance guarantees
R Vafaee, M Siami - 2022 IEEE 61st Conference on Decision …, 2022 - ieeexplore.ieee.org
In this paper, we investigate the problem of time-varying sensor selection for linear time-
varying (LTV) dynamical systems. We develop a framework to design an online sparse …
varying (LTV) dynamical systems. We develop a framework to design an online sparse …
Linear-sized sensor scheduling using regret minimization
R Vafaee, M Siami - 2023 American Control Conference (ACC), 2023 - ieeexplore.ieee.org
In this paper, we investigate the problem of time-varying sensor selection for linear time-
invariant (LTI) dynamical systems. We develop a framework to design a sparse sensor …
invariant (LTI) dynamical systems. We develop a framework to design a sparse sensor …
Sparse Actuator Scheduling for Discrete-Time Linear Dynamical Systems
KPVS Kondapi, C Sriram, G Joseph… - arXiv preprint arXiv …, 2024 - arxiv.org
We consider the control of discrete-time linear dynamical systems using sparse inputs where
we limit the number of active actuators at every time step. We develop an algorithm for …
we limit the number of active actuators at every time step. We develop an algorithm for …
Learning-based Sparse Sensing with Performance Guarantees
R Vafaee, M Siami - IEEE Transactions on Automatic Control, 2024 - ieeexplore.ieee.org
In this study, we address the challenge of sensor scheduling in discrete-time linear
dynamical networks. We propose a novel learning-based rounding method aimed at …
dynamical networks. We propose a novel learning-based rounding method aimed at …
Online actuator selection and controller design for linear quadratic regulation with unknown system model
We study the simultaneous actuator selection and controller design problem for linear
quadratic regulation with Gaussian noise over a finite horizon of length and unknown system …
quadratic regulation with Gaussian noise over a finite horizon of length and unknown system …