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This paper is concerned with linear-quadratic-Gaussian (LQG) control for a field-mediated feedback connection of a plant and a coherent (measurement-free) controller. Both the plant and the controller are multimode open quantum harmonic…

系统与控制 · 电气工程与系统科学 2020-02-07 Igor G. Vladimirov , Ian R. Petersen

Continuing the first part of the paper, we consider scalar decentralized average-cost infinite-horizon LQG problems with two controllers. This paper focuses on the slow dynamics case when the eigenvalue of the system is small and prove that…

最优化与控制 · 数学 2013-08-26 Se Yong Park , Anant Sahai

The Linear Quadratic Gaussian (LQG) regulator is a cornerstone of optimal control theory, yet its performance can degrade significantly when the noise distributions deviate from the assumed Gaussian model. To address this limitation, this…

系统与控制 · 电气工程与系统科学 2026-03-27 Riccardo Cescon , Andrea Martin , Giancarlo Ferrari-Trecate

Linear Quadratic Regulator (LQR) design is one of the most classical optimal control problems, whose well-known solution is an input sequence expressed as a state-feedback. In this work, finite-horizon and discrete-time LQR is solved under…

最优化与控制 · 数学 2020-01-17 Anna Scampicchio , Aleksandr Aravkin , Gianluigi Pillonetto

We consider scalar decentralized average-cost infinite-horizon LQG problems with two controllers, focusing on the fast dynamics case when the (scalar) eigenvalue of the system is large. It is shown that the best linear controllers'…

最优化与控制 · 数学 2013-08-26 Se Yong Park , Anant Sahai

This paper considers the discrete-time, stochastic LQR problem with $p$ steps of disturbance preview information where $p$ is finite. We first derive the solution for this problem on a finite horizon with linear, time-varying dynamics and…

最优化与控制 · 数学 2026-02-09 Jietian Liu , Laurent Lessard , Peter Seiler

The goal of this paper is to study a multi-objective linear quadratic Gaussian (LQG) control problem. In particular, we consider an optimal control problem minimizing a quadratic cost over a finite time horizon for linear stochastic systems…

最优化与控制 · 数学 2021-06-01 Donghwan Lee , Do Wan Kim

We study the distributed Linear Quadratic Gaussian (LQG) control problem in discrete-time and finite-horizon, where the controller depends linearly on the history of the outputs and it is required to lie in a given subspace, e.g. to possess…

系统与控制 · 电气工程与系统科学 2021-07-14 Luca Furieri , Maryam Kamgarpour

Linear-Quadratic-Gaussian (LQG) control is concerned with the design of an optimal controller and estimator for linear Gaussian systems with imperfect state information. Standard LQG assumes the set of sensor measurements, to be fed to the…

最优化与控制 · 数学 2020-05-18 Vasileios Tzoumas , Luca Carlone , George J. Pappas , Ali Jadbabaie

We study the performance of the certainty equivalent controller on Linear Quadratic (LQ) control problems with unknown transition dynamics. We show that for both the fully and partially observed settings, the sub-optimality gap between the…

最优化与控制 · 数学 2019-06-25 Horia Mania , Stephen Tu , Benjamin Recht

In this paper, we solve the long-standing fundamental problem of irregular linear--quadratic (LQ) optimal control, which has received significant attention since the 1960s. We derive the optimal controllers via the key technique of finding…

最优化与控制 · 数学 2019-02-15 Huanshui Zhang , Juanjuan Xu

In this work, we revisit the Linear Quadratic Gaussian (LQG) optimal control problem from a behavioral perspective. Motivated by the suitability of behavioral models for data-driven control, we begin with a reformulation of the LQG problem…

系统与控制 · 电气工程与系统科学 2022-09-20 Abed AlRahman Al Makdah , Vishaal Krishnan , Vaibhav Katewa , Fabio Pasqualetti

This paper presents an explicit solution to a two player distributed LQR problem in which communication between controllers occurs across a communication link with varying delay. We extend known dynamic programming methods to accommodate…

最优化与控制 · 数学 2014-04-01 Nikolai Matni , Andrew Lamperski , John C. Doyle

A finite-horizon optimal estimation problem for discrete-time linear systems is formulated and solved. The formulation is a natural extension of that which yields a deadbeat observer. The resultant observer is the dual of the controller…

动力系统 · 数学 2013-07-08 S. Emre Tuna

We propose a method to design a suboptimal, coherent quantum LQG controller to solve a quantum equalization problem. Our method involves reformulating the problem as a control problem and then designing a classical LQG controller and…

量子物理 · 物理学 2023-04-05 Rebbecca TY Thien , Shanon L. Vuglar , Ian R. Petersen

In this paper, we consider the inverse optimal control problem for the discrete-time linear quadratic regulator, over finite-time horizons. Given observations of the optimal trajectories, and optimal control inputs, to a linear…

最优化与控制 · 数学 2018-10-31 Han Zhang , Jack Umenberger , Xiaoming Hu

Linear-Quadratic optimal controls are computed for a class of boundary controlled, boundary observed hyperbolic infinite-dimensional systems, which may be viewed as networks of waves. The main results of this manuscript consist in…

最优化与控制 · 数学 2025-02-06 Anthony Hastir , Birgit Jacob , Hans Zwart

This paper is concerned with a stochastic linear quadratic (LQ, for short) control problem with a recursive cost functional in an infinite horizon. A main difficult is well-posedness of the BSDE in $L^1$ and in infinite horizon. A notion of…

最优化与控制 · 数学 2026-05-07 Lin Li , Jiongmin Yong

This paper develops a controller synthesis method for distributed LQG control problems under output-feedback. We consider a system consisting of three interconnected linear subsystems with a delayed information sharing structure. While the…

系统与控制 · 计算机科学 2013-09-18 Hamid Reza Feyzmahdavian , Ather Gattami , Mikael Johansson

We study a generalization of the classical discrete-time, Linear-Quadratic-Gaussian (LQG) control problem where the noise distributions affecting the states and observations are unknown and chosen adversarially from divergence-based…

最优化与控制 · 数学 2025-09-30 Bahar Taşkesen , Dan A. Iancu , Çağıl Koçyiğit , Daniel Kuhn