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[HTML][HTML] Wireless control: Retrospective and open vistas
The convergence of wireless networks and control engineering has been a technological
driver since the beginning of this century. It has significantly contributed to a wide set of …
driver since the beginning of this century. It has significantly contributed to a wide set of …
Finite sample identification of bilinear dynamical systems
Bilinear dynamical systems are ubiquitous in many different domains and they can also be
used to approximate more general control-affine systems. This motivates the problem of …
used to approximate more general control-affine systems. This motivates the problem of …
Identification and adaptive control of markov jump systems: Sample complexity and regret bounds
Learning how to effectively control unknown dynamical systems is crucial for intelligent
autonomous systems. This task becomes a significant challenge when the underlying …
autonomous systems. This task becomes a significant challenge when the underlying …
Learning linear dynamics from bilinear observations
We consider the problem of learning a realization of a partially observed dynamical system
with linear state transitions and bilinear observations. Under very mild assumptions on the …
with linear state transitions and bilinear observations. Under very mild assumptions on the …
Strong consistency and rate of convergence of switched least squares system identification for autonomous markov jump linear systems
In this article, we investigate the problem of system identification for autonomous Markov
jump linear systems (MJS) with complete state observations. We propose switched least …
jump linear systems (MJS) with complete state observations. We propose switched least …
Online change points detection for linear dynamical systems with finite sample guarantees
The problem of online change point detection is to detect abrupt changes in properties of
time series, ideally as soon as possible after those changes occur. Existing work on online …
time series, ideally as soon as possible after those changes occur. Existing work on online …
Finite Sample Identification of Partially Observed Bilinear Dynamical Systems
We consider the problem of learning a realization of a partially observed bilinear dynamical
system (BLDS) from noisy input-output data. Given a single trajectory of input-output …
system (BLDS) from noisy input-output data. Given a single trajectory of input-output …
System identification in presence of undetectable packet losses in the actuation path
A Mohammadzadeh… - Transactions of the …, 2024 - journals.sagepub.com
Identification of networked systems over communication links with packet losses is
considered. It is assumed that there is no connection from the actuators to the system …
considered. It is assumed that there is no connection from the actuators to the system …
Learning, Control, and Reduction for Markov Jump Systems
Z Du - 2023 - deepblue.lib.umich.edu
Many real-world phenomena or systems with temporally changing dynamics can be
effectively characterized by time-varying models—typically ensembles of simple models …
effectively characterized by time-varying models—typically ensembles of simple models …
[کتاب][B] The Sample Complexity of Learning Dynamical Systems
Y Sattar - 2023 - search.proquest.com
Abstract Machine learning has emerged as a leading force in revolutionizing technology,
education, and almost every aspect of our lives. Reinforcement learning is a sub-field of …
education, and almost every aspect of our lives. Reinforcement learning is a sub-field of …