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In this paper, we propose a new Robust Nonlinear Quadratic Gaussian (RNQG) controller based on State-Dependent Riccati Equation (SDRE) scheme for continuous-time nonlinear systems. Existing controllers do not account for combined noise and…

系统与控制 · 电气工程与系统科学 2019-12-17 Pouria Razzaghi , Ehab Al Khatib , Yildirim Hurmuzlu

The State-Dependent Riccati Equation (SDRE) technique generalizes the classical algebraic Riccati formulation to nonlinear systems by designing an input to the system that optimally(suboptimally) regulates system states toward the origin…

系统与控制 · 电气工程与系统科学 2025-12-30 Arya Rashidinejad Meibodi , Mahbod Gholamali Sinaki , Khalil Alipour

This paper is concerned with a stochastic linear-quadratic (LQ) optimal control problem on infinite time horizon, with regime switching, random coefficients, and cone control constraint. To tackle the problem, two new extended stochastic…

最优化与控制 · 数学 2022-01-06 Ying Hu , Xiaomin Shi , Zuo Quan Xu

This paper investigates a stochastic linear-quadratic (SLQ, for short) control problem regulated by a time-invariant Markov chain in infinite horizon. Under the $L^2$-stability framework, we study a class of linear backward stochastic…

最优化与控制 · 数学 2024-12-19 Fan Wu , Xun Li , Xin Zhang

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

We study quadratic optimal stochastic control problems with control dependent noise state equation perturbed by an affine term and with stochastic coefficients. Both infinite horizon case and ergodic case are treated. To this purpose we…

概率论 · 数学 2013-04-10 Giuseppina Guatteri , Federica Masiero

We study a non standard infinite horizon, infinite dimensional linear-quadratic control problem arising in the physics of non-stationary states (see e.g. \cite{BDGJL4,BertiniGabrielliLebowitz05}): finding the minimum energy to drive a given…

最优化与控制 · 数学 2021-01-28 Paolo Acquistapace , Fausto Gozzi

This paper investigates the stabilization and control problems for linear continuous-time mean-field systems (MFS). Under standard assumptions, necessary and sufficient conditions to stabilize the mean-field systems in the mean square sense…

最优化与控制 · 数学 2017-05-26 Qingyuan Qi , Huanshui Zhang

We are concerned with efficient numerical methods for stochastic continuous-time algebraic Riccati equations (SCARE). Such equations frequently arise from the state-dependent Riccati equation approach which is perhaps the only systematic…

最优化与控制 · 数学 2024-01-23 Tsung-Ming Huang , Yueh-Cheng Kuo , Ren-Cang Li , Wen-Wei Lin

Linear-quadratic optimal control problem for systems governed by forward-backward stochastic differential equations has been extensively studied over the past three decades. Recent research has revealed that for forward-backward control…

最优化与控制 · 数学 2025-04-22 Qi Lü , Bowen Ma , Hanxiao Wang

It is well known that stability is the most fundamental nature with regard to a control system, in view of this, the stabilization becomes an inevitable control problem. This article mainly discusses the optimal control and stabilization…

最优化与控制 · 数学 2018-03-21 Hongdan Li , Chunyan Han , Huanshui Zhang

We solve a linear quadratic optimal control problem for sampled-data systems with stochastic delays. The delays are stochastically determined by the last few delays. The proposed optimal controller can be efficiently computed by iteratively…

最优化与控制 · 数学 2018-05-18 Masashi Wakaiki , Masaki Ogura , Joao P. Hespanha

This paper is concerned with a stochastic linear-quadratic optimal control problem in a finite time horizon, where the coefficients of the control system are allowed to be random, and the weighting matrices in the cost functional are…

最优化与控制 · 数学 2019-11-12 Jingrui Sun , Jie Xiong , Jiongmin Yong

We consider the problem of minimum energy steering of a linear stochastic system to a final prescribed distribution over a finite horizon and to maintain a stationary distribution over an infinite horizon. We present sufficient conditions…

系统与控制 · 计算机科学 2014-10-14 Yongxin Chen , Tryphon Georgiou , Michele Pavon

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

This paper is concerned with uniform stabilization and social optimality for general mean field linear quadratic control systems, where subsystems are coupled via individual dynamics and costs, and the state weight is not assumed with the…

最优化与控制 · 数学 2020-03-02 Bing-Chang Wang , Huanshui Zhang , Ji-Feng Zhang

In most real cases transition probabilities between operational modes of Markov jump linear systems cannot be computed exactly and are time-varying. We take into account this aspect by considering Markov jump linear systems where the…

系统与控制 · 计算机科学 2021-03-22 Y. Zacchia Lun , A. Abate , A. D'Innocenzo

A discrete-time stochastic LQ problem with multiplicative noises and state transmission delay is studied in this paper, which does not require any definiteness constraint on the cost weighting matrices. From some abstract representations of…

最优化与控制 · 数学 2017-05-30 Yuan-Hua Ni , Cedric Ka-Fai Yiu , Huanshui Zhang , Ji-Feng Zhang

This paper will investigate the infinite horizon optimal control and stabilization problems for the Markov jump linear system (MJLS) subject to control input delay. Different from previous works, for the first time, the necessary and…

最优化与控制 · 数学 2019-02-19 Chunyan Han , Hongdan Li , Huanshui Zhang

This paper investigates an infinite horizon discounted linear-quadratic (LQ) optimal control problem for stochastic differential equations (SDEs) incorporating regime switching and mean-field interactions. The regime switching is modeled by…

最优化与控制 · 数学 2025-06-23 Kai Ding , Xun Li , Siyu Lv , Zuo Quan Xu