Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Ho, Dimitar"'
Autor:
Ho, Dimitar Mi
Over the past few decades, our physical and digital worlds have become increasingly intertwined and reliant on each other. Advancements in areas such as machine learning, online optimization, and control theory, along with ubiquitous access to comput
Externí odkaz:
https://thesis.library.caltech.edu/16177/3/thesis.pdf
We investigate the problem of stabilizing an unknown networked linear system under communication constraints and adversarial disturbances. We propose the first provably stabilizing algorithm for the problem. The algorithm uses a distributed version o
Externí odkaz:
http://arxiv.org/abs/2203.02630
Publikováno v:
Proceedings of The 24th International Conference on Artificial Intelligence and Statistics 2021, PMLR 130:3475-3483
Robust control is a core approach for controlling systems with performance guarantees that are robust to modeling error, and is widely used in real-world systems. However, current robust control approaches can only handle small system uncertainty, an
Externí odkaz:
http://arxiv.org/abs/2103.11055
We present a solution to deal with information package dropouts in distributed controllers for large-scale networks. We do this by leveraging the System Level Synthesis approach, a control framework particularly suitable for large-scale networks that
Externí odkaz:
http://arxiv.org/abs/2103.03967
Autor:
Ho, Dimitar, Doyle, John
Publikováno v:
2019 IEEE 58th Conference on Decision and Control (CDC), Nice, France, 2019, pp. 4577-4582
We present a simple model-free control algorithm that is able to robustly learn and stabilize an unknown discrete-time linear system with full control and state feedback subject to arbitrary bounded disturbance and noise sequences. The controller doe
Externí odkaz:
http://arxiv.org/abs/2010.00204
Autor:
Yu, Jing, Ho, Dimitar
We present a novel class of nonlinear controllers that interpolates among differently behaving linear controllers as a case study for recently proposed Linear and Nonlinear System Level Synthesis framework. The structure of the nonlinear controller a
Externí odkaz:
http://arxiv.org/abs/2006.12766
Autor:
Li, Jing Shuang, Ho, Dimitar
We show that given a desired closed-loop response for a system, there exists an affine subspace of controllers that achieve this response. By leveraging the existence of this subspace, we are able to separate controller design from closed-loop design
Externí odkaz:
http://arxiv.org/abs/2006.05040
Autor:
Ho, Dimitar
We will show that there is a universal connection between the achievable closed-loop dynamics and the corresponding feedback controller that produces it. This connection shows promise to lead to new methods for robust nonlinear control in discrete-ti
Externí odkaz:
http://arxiv.org/abs/2004.08004
Autor:
Ho, Dimitar, Doyle, John C.
We will present a new general framework for robust and adaptive control that allows for distributed and scalable learning and control of large systems of interconnected linear subsystems. The control method is demonstrated for a linear time-invariant
Externí odkaz:
http://arxiv.org/abs/1904.00077
Publikováno v:
2018 Annual American Control Conference (ACC), Milwaukee, WI, 2018, pp. 1887-1894
In this work, we investigate the problem of simultaneously learning and controlling a system subject to adversarial choices of disturbances and system parameters. We study the problem for a scalar system with $l_\infty$-norm bounded disturbances and
Externí odkaz:
http://arxiv.org/abs/1812.10910