Zhiyuan Li - IEEE Xplore Author Profile

Scheduled Maintenance on Monday 1/13/2025

Single article sales and account management will be unavailable from 5:00 AM - 7:00 PM ET (09:00 - 23:00 UTC). We apologize for the inconvenience.

IEEE.org
IEEE Xplore
IEEE SA
IEEE Spectrum
More Sites

- Donate
- Personal Sign In

Institutional Sign In

Institutional Sign In

ADVANCED SEARCH

Author details

Zhiyuan Li

Publications

4

Citations

23

Publications by Year

20232025

Co-Authors:

Yuang AiPragnesh BarikChristoph BuschYang CaoJun Cao

Show All Co-Authors (145)

Zhiyuan Li

Affiliation

National Key Laboratory of Human-Machine Hybrid Augmented Intelligence

Institute of Artificial Intelligence and Robotics

Xi’an Jiaotong University, Xi’an, China

Publication Topics

High-resolution Images,
L2 Loss,
Low-resolution Images,
Super-resolution,
Adam Optimizer,
Convolutional Layers,
Feature Maps,
Generative Adversarial Networks,
Image Compression,
L1 Loss,
Learning Rate,
Peak Signal-to-noise Ratio

Biography

Zhiyuan Li received the bachelor’s degree from Xidian University in 2022. He is currently pursuing the master’s degree with the Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University. His research interests include image compression, image rescaling, and other visual problems.(Based on document published on 6 September 2024).

Publications

4

Citations

23

Publications by Year

20232025

Co-Authors:

Yuang Ai
Pragnesh Barik
Christoph Busch
Yang Cao
Jun Cao

Show All Co-Authors (145)

Author's Published Works

Search History

Showing 1-25 of 12,268 resultsfor "Index Terms":Solution Of The Optimal Control Problem

Conferences (8,531)

Journals (3,671)

Magazines (54)

Early Access Articles (12)

Sort

Filter Results

Show

Open Access Only

Range
Single Year
Huanshui Zhang(41)
John Lygeros(33)
Frank L. Lewis(33)
Moritz Diehl(30)
Christos G. Cassandras(29)
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore(44)
Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway(35)
State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China(35)
School of Control Science and Engineering, Shandong University, Jinan, China(33)
School of Automation, Beijing Institute of Technology, Beijing, China(28)
IEEE Transactions on Automatic Control(885)
IEEE Access(254)
IEEE Transactions on Power Systems(175)
IEEE Control Systems Letters(163)
IEEE Transactions on Control Systems Technology(120)
IEEE(12,062)
OUP(76)
BIAI(38)
IET(38)
SGEPRI(13)
Media(145)
Code(9)
Datasets(6)
Video(2)
San Diego, CA, USA(196)
Shanghai, China(156)
Beijing, China(142)
New Orleans, LA, USA(141)
Las Vegas, NV, USA(128)
Optimal Control(6,471)
Optimization Problem(5,780)
Control Problem(3,513)
Optimal Control Problem(2,934)
Objective Function(2,232)

Select All on Page

Sort By

Results

A New Algorithm for Finding Numerical Solutions of Optimal Feedback Control Law

Bao-zhu Guo;Bing Sun

2006 Chinese Control Conference

Year: 2006 | Conference Paper |

Cited by: Papers (2)

HTML

A new algorithm for finding numerical solutions of optimal feedback control of a class of general finite dimensional systems with multi-input is developed. The algorithm is based on the fact that the value function of the optimal control problem is the viscosity solution of its associated Hamilton-Jacobi-Bellman equation. An example that the closed form solutions of optimal feedback control-trajec...Show More

A New Algorithm for Finding Numerical Solutions of Optimal Feedback Control Law

Bao-zhu Guo;Bing Sun

2006 Chinese Control Conference

Year: 2006 | Conference Paper |

Numerical Solution of Linear Time-Optimal Control Problem Using of Genetic Algorithm

A.B. Filimonov;N.B. Filimonov

2022 International Russian Automation Conference (RusAutoCon)

Year: 2022 | Conference Paper |

Cited by: Papers (1)

HTML

The most important class of applied optimal control problems are time-optimal control problems. The linear speed limit problem for dynamic control objects with scalar input is discussed. By means of the Pontryagin maximum principle, the structure of extreme controls is determined and then the targeting method is used. The procedure for searching for target parameters is formalized as a nonlinear p...Show More

Numerical Solution of Linear Time-Optimal Control Problem Using of Genetic Algorithm

A.B. Filimonov;N.B. Filimonov

2022 International Russian Automation Conference (RusAutoCon)

Year: 2022 | Conference Paper |

An improvement to the homotopy perturbation method for solving the Hamilton–Jacobi–Bellman equation

;;

IMA Journal of Mathematical Control and Information

Year: 2013 | Volume: 30, Issue: 4 | Journal Article |

Cited by: Papers (1)

In this paper, the piecewise homotopy perturbation method (PHPM) is employed to solve the Hamilton–Jacobi–Bellman (HJB) equation arising in the optimal control problems. The method is a simple modification of the standard homotopy perturbation method (HPM), in which it is treated as an algorithm in a sequence of small intervals (i.e. time step) for finding accurate approximate solutions to the cor...Show More

An improvement to the homotopy perturbation method for solving the Hamilton–Jacobi–Bellman equation

;;

IMA Journal of Mathematical Control and Information

Year: 2013 | Volume: 30, Issue: 4 | Journal Article |

Performance-First Control for Discrete-Time LQG Problems

Duan Li;Fucai Qian;Jianjun Gao

IEEE Transactions on Automatic Control

Year: 2009 | Volume: 54, Issue: 9 | Journal Article |

Cited by: Papers (9)

HTML

Performance-first control for discrete-time LQG is considered in this paper to minimize the probability that the performance index exceeds a preselected threshold via constructing a closed-loop feedback control law. This problem can be converted into a mean-variance control problem which can be solved by developing a nested form of the variance and using polynomial optimization as a solution schem...Show More

Performance-First Control for Discrete-Time LQG Problems

Duan Li;Fucai Qian;Jianjun Gao

IEEE Transactions on Automatic Control

Year: 2009 | Volume: 54, Issue: 9 | Journal Article |

A constrained LQ approach to numerical solutions for constrained nonlinear optimal control problems

Joe Imae;Tomonari Ando;Tomoaki Kobayashi;Guisheng Zhai

2009 International Conference on Networking, Sensing and Control

Year: 2009 | Conference Paper |

Cited by: Papers (1)

HTML

We propose a new algorithm for numerical solutions of constrained nonlinear optimal control problems, based on constrained LQ problems. The proposed algorithm is described as follows. First, we approximate the constrained nonlinear optimal control problems by the Taylor expansion technique, resulting in the standard LQ problems, but with linearized constraints. Then, by making use of penalty funct...Show More

A constrained LQ approach to numerical solutions for constrained nonlinear optimal control problems

Joe Imae;Tomonari Ando;Tomoaki Kobayashi;Guisheng Zhai

2009 International Conference on Networking, Sensing and Control

Year: 2009 | Conference Paper |

A new algorithm for finding numerical solutions of optimal feedback control

;

IMA Journal of Mathematical Control and Information

Year: 2009 | Volume: 26, Issue: 1 | Journal Article |

A new algorithm for finding numerical solutions of optimal feedback control based on dynamic programming is developed. The algorithm is based on two observations: (1) the value function of the optimal control problem considered is the viscosity solution of the associated Hamilton–Jacobi–Bellman (HJB) equation and (2) the appearance of the gradient of the value function in the HJB equation is in th...Show More

A new algorithm for finding numerical solutions of optimal feedback control

;

IMA Journal of Mathematical Control and Information

Year: 2009 | Volume: 26, Issue: 1 | Journal Article |

Solving a class of linear and non-linear optimal control problems by homotopy perturbation method

;

IMA Journal of Mathematical Control and Information

Year: 2011 | Volume: 28, Issue: 4 | Journal Article |

Cited by: Papers (1)

In this paper, we give an analytical approximate solution for non-linear quadratic optimal control problems and optimal control of linear systems using the homotopy perturbation method (HPM). Applying the HPM, the non-linear two-point boundary-value problem (TPBVP) and linear systems, derived from the Pontryagin's maximum principle, are transformed into a sequence of linear time-invariant TPBVP’s....Show More

Solving a class of linear and non-linear optimal control problems by homotopy perturbation method

;

IMA Journal of Mathematical Control and Information

Year: 2011 | Volume: 28, Issue: 4 | Journal Article |

A Short Survey on Measure-Driven Optimal Control Problems

Aram Arutyunov;Dmitry Karamzin;Fernando Lobo Pereira

2018 13th APCA International Conference on Automatic Control and Soft Computing (CONTROLO)

Year: 2018 | Conference Paper |

Cited by: Papers (1)

HTML

In the middle of the last century, space exploration raised the need to solve rocket space navigation and control problems in which the jumps of state variables naturally arose. Then, alongside the development of control theory, the discontinuous arcs-solutions to calculus of variations problems began to attract increasing attention from researchers. Gradually, they started to be considered and in...Show More

A Short Survey on Measure-Driven Optimal Control Problems

Aram Arutyunov;Dmitry Karamzin;Fernando Lobo Pereira

2018 13th APCA International Conference on Automatic Control and Soft Computing (CONTROLO)

Year: 2018 | Conference Paper |

Optimization of Ethylene Oligomerization Process Based on Genetic Algorithms

Evgenia Antipina;Svetlana Mustafina;Andrev Antipin

2024 International Russian Automation Conference (RusAutoCon)

Year: 2024 | Conference Paper |

HTML

The paper is devoted to the development of a genetic algorithm for finding the optimal values of control parameters of the ethylene oligomerization process. The formulation of the problem of optimal control of the ethylene oligomerization process is given. The control parameters are temperature and reaction duration, the values of which are subject to constraints. It is proposed to search for the ...Show More

Optimization of Ethylene Oligomerization Process Based on Genetic Algorithms

Evgenia Antipina;Svetlana Mustafina;Andrev Antipin

2024 International Russian Automation Conference (RusAutoCon)

Year: 2024 | Conference Paper |

Optimal torque control for current-fed induction motors

C. Canudas de Wit;J. Ramirez

IEEE Transactions on Automatic Control

Year: 1999 | Volume: 44, Issue: 5 | Journal Article |

Cited by: Papers (29)

This paper presents an optimal control design for current-fed induction motor drives. The problem to be considered is to find a feedback control that minimizes a generalized convex energy cost function including the stored magnetic energy and the coil losses, while satisfying torque tracking control objectives. Necessary and sufficient conditions for optimality are established. It is shown here th...Show More

Optimal torque control for current-fed induction motors

C. Canudas de Wit;J. Ramirez

IEEE Transactions on Automatic Control

Year: 1999 | Volume: 44, Issue: 5 | Journal Article |

Evolutionary Algorithm for Calculating the Optimal Temperature Regime of the Catalytic Process

Evgenia Antipina;Svetlana Mustafina;Andrey Antipin

2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

Year: 2023 | Conference Paper |

HTML

The paper formulates an algorithm for searching the optimal temperature regime of the catalytic process in an ideal mixing reactor. The problem of optimal control of the catalytic process is formulated in a general form. To find its numerical solution, an algorithm based on the method of differential evolution is described. The algorithm allows to obtain an approximate solution of the optimization...Show More

Evolutionary Algorithm for Calculating the Optimal Temperature Regime of the Catalytic Process

Evgenia Antipina;Svetlana Mustafina;Andrey Antipin

2023 5th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA)

Year: 2023 | Conference Paper |

A Global Optimal Solution to the Eco-Driving Problem

G. P. Padilla;S. Weiland;M. C. F. Donkers

IEEE Control Systems Letters

Year: 2018 | Volume: 2, Issue: 4 | Journal Article |

Cited by: Papers (52)

HTML

Eco-driving aims at minimizing the energy consumption of a vehicle by adjusting the vehicle’s velocity. This can be formulated as an optimal control problem and this letter provides a detailed view on the global optimal solution to this problem. A method to reformulate and discretize the problem avoiding the introduction of additional nonconvex terms is presented. Furthermore, physically realistic...Show More

A Global Optimal Solution to the Eco-Driving Problem

G. P. Padilla;S. Weiland;M. C. F. Donkers

IEEE Control Systems Letters

Year: 2018 | Volume: 2, Issue: 4 | Journal Article |

Global Solution for the Optimal Feedback Control of the Underactuated Heisenberg System

Chandeok Park;Daniel J. Scheeres;Vincent Guibout;Anthony Bloch

IEEE Transactions on Automatic Control

Year: 2008 | Volume: 53, Issue: 11 | Journal Article |

Cited by: Papers (10)

HTML

We present a global solution for an optimal feedback controller of the underactuated Heisenberg system or nonholonomic integrator. Employing a recently developed technique based on generating functions appearing in the Hamilton-Jacobi theory, we circumvent a singularity caused by under actuation to develop a nonlinear optimal feedback control in an implicitly analytical form. The systematic proced...Show More

Global Solution for the Optimal Feedback Control of the Underactuated Heisenberg System

Chandeok Park;Daniel J. Scheeres;Vincent Guibout;Anthony Bloch

IEEE Transactions on Automatic Control

Year: 2008 | Volume: 53, Issue: 11 | Journal Article |

Stochastic linear-quadratic optimal control problems with delay and Lévy processes

2016 35th Chinese Control Conference (CCC)

Year: 2016 | Conference Paper |

HTML

This paper is concerned with a linear-quadratic (LQ) optimal control problem for the stochastic system with delay and Lévy processes. To solve this problem, we study the solvability of stochastic Hamiltonian system which is a fully coupled anticipated forward-backward stochastic differential equation with delay and Lévy processes (AFBSDDEL). By virtue of solvability of AFBSDDEL, we give a represen...Show More

Stochastic linear-quadratic optimal control problems with delay and Lévy processes

2016 35th Chinese Control Conference (CCC)

Year: 2016 | Conference Paper |

Optimal output tracking control for discrete-time systems with state and control delays

Jian Zhang;Hao Su;Qing Yang;Pan-Pan Du;Gong-You Tang

2017 29th Chinese Control And Decision Conference (CCDC)

Year: 2017 | Conference Paper |

HTML

This study researches the tracking control problem for discrete-time systems with state and control delays under disturbances. This study is organized around the delay-free transformation and the successive approximation method. First by proposing a discrete variable transformation, the discrete-time system with input and control delays and the quadratic performance index are transformed into equi...Show More

Optimal output tracking control for discrete-time systems with state and control delays

Jian Zhang;Hao Su;Qing Yang;Pan-Pan Du;Gong-You Tang

2017 29th Chinese Control And Decision Conference (CCDC)

Year: 2017 | Conference Paper |

Optimal control problems of nonlinear degenerate parabolic differential systems with logistic time-varying delays

IMA Journal of Mathematical Control and Information

Year: 2005 | Volume: 22, Issue: 1 | Journal Article |

In this paper, we study a bioeconomic model for optimal control problems for a class of systems governed by degenerate parabolic equations governing diffusive biological species with logistic growth terms and multiple time-varying delays. We prove the existence, uniqueness and regularity results for this degenerate parabolic equation. The viscosity solution theory is used to obtain the existence r...Show More

Optimal control problems of nonlinear degenerate parabolic differential systems with logistic time-varying delays

IMA Journal of Mathematical Control and Information

Year: 2005 | Volume: 22, Issue: 1 | Journal Article |

On the solutions of the matrix equations in optimal stochastic control

;;;

Journal of Systems Engineering and Electronics

Year: 1999 | Volume: 10, Issue: 3 | Journal Article |

In this paper, the matrix algebraic equations involved in the optimal control problem of time-invariant linear Itô stochastic systems, named Riccati — Itô equations in the paper, are investigated. The necessary and sufficient condition for the existence of positive definite solutions of the Riccati-Itô equations is obtained and an iterative solution to the Riccati-Itô equations is also given in th...Show More

On the solutions of the matrix equations in optimal stochastic control

;;;

Journal of Systems Engineering and Electronics

Year: 1999 | Volume: 10, Issue: 3 | Journal Article |

Optimal control of elliptic PDEs at points

;;

IMA Journal of Numerical Analysis

Year: 2016 | Volume: 36, Issue: 3 | Journal Article |

We consider an elliptic optimal control problem where the objective functional contains evaluations of the state at a finite number of points. In particular, we use a fidelity term that encourages the state to take certain values at these points, which means that our problem is related to ones with state constraints at points. The analysis and numerical analysis differs from when the fidelity is i...Show More

Optimal control of elliptic PDEs at points

;;

IMA Journal of Numerical Analysis

Year: 2016 | Volume: 36, Issue: 3 | Journal Article |

Robust optimality of linear saturated control in uncertain linear network flows

Fabio Bagagiolo;Dario Bauso

2008 47th IEEE Conference on Decision and Control

Year: 2008 | Conference Paper |

Cited by: Papers (1)

HTML

We propose a novel approach that, given a linear saturated feedback control policy, asks for the objective function that makes robust optimal such a policy. The approach is specialized to a linear network flow system with unknown but bounded demand and politopic bounds on controlled flows. All results are derived via the Hamilton-Jacobi-Isaacs and viscosity theory.Show More

Robust optimality of linear saturated control in uncertain linear network flows

Fabio Bagagiolo;Dario Bauso

2008 47th IEEE Conference on Decision and Control

Year: 2008 | Conference Paper |

Numerical Solution of Inverse Heat Conductivity Problem Based on Minimax Optimization

Anna N. Diligenskaya

2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

Year: 2023 | Conference Paper |

HTML

The paper investigates the solution of the boundary inverse heat conduction problem based on parametric optimization of temperature states in the case of analytical and numerical models of the heat conduction process. The solution uses methods of optimal control of objects with distributed parameters and is based on alternans properties of optimal states of required characteristics in the uniform ...Show More

Numerical Solution of Inverse Heat Conductivity Problem Based on Minimax Optimization

Anna N. Diligenskaya

2023 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)

Year: 2023 | Conference Paper |

Optimal controller for unmeasured stochastic polynomial system states with state-dependent polynomial input

Michael Basin;Alexander Loukianov;Miguel Hernandez-Gonzalez

Proceedings of the 2010 American Control Conference

Year: 2010 | Conference Paper |

HTML

This paper presents the optimal quadratic-Gaussian controller for unmeasured stochastic polynomial system states with a state-dependent polynomial control input and a quadratic criterion over linear observations. The optimal closed-form controller equations are obtained using the separation principle, whose applicability to the considered problem is substantiated. As an intermediate result, the pa...Show More

Optimal controller for unmeasured stochastic polynomial system states with state-dependent polynomial input

Michael Basin;Alexander Loukianov;Miguel Hernandez-Gonzalez

Proceedings of the 2010 American Control Conference

Year: 2010 | Conference Paper |

Numerical approximation of a class of nonlinear parabolic optimal control problems

Xiao Huang;Benxiu Li;Gan Zhang

2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering

Year: 2012 | Conference Paper |

HTML

In the paper we mainly consider the finite element numerical solutions for a class of optimal control problem governed by nonlinear parabolic equations. We derive an error estimates for the coupled state and the control solutions of the nonlinear parabolic optimal control problems. The state and co-state are approximated by the mixed finite element spaces and the control is approximated by piecewi...Show More

Numerical approximation of a class of nonlinear parabolic optimal control problems

Xiao Huang;Benxiu Li;Gan Zhang

2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering

Year: 2012 | Conference Paper |

Minimax Optimization in Multidimensional Inverse Heat Conduction Problems

Anna N. Diligenskaya;Sergey A. Kolpashchikov;Irina S. Bochkareva

2023 V International Conference on Control in Technical Systems (CTS)

Year: 2023 | Conference Paper |

HTML

An approach to the solution of inverse problems of heat conduction in multidimensional spatial domain based on the theory of optimal control of objects with distributed parameters is proposed. Parametric optimization with minimax quality functional on given convergent compact sets is applied. On the basis of preliminary parametrization of desired characteristics using modal description of the proc...Show More

Minimax Optimization in Multidimensional Inverse Heat Conduction Problems

Anna N. Diligenskaya;Sergey A. Kolpashchikov;Irina S. Bochkareva

2023 V International Conference on Control in Technical Systems (CTS)

Year: 2023 | Conference Paper |

Backward linear quadratic stochastic optimal control problems and nonzero sum differential games

Yanjun Lou;Wenqiang Li

2013 25th Chinese Control and Decision Conference (CCDC)

Year: 2013 | Conference Paper |

Cited by: Papers (2)

HTML

In R. Buckdahn, Li, Peng [6], the authors obtained mean-field backward stochastic Differential equations (BSDEs) in a natural way as a limit of some highly dimensional system of forward and backward SDEs, corresponding to a great number of particles. In this paper, firstly, we prove that there exists a unique solution of fully coupled MF-FBSDE. Then we use the solutions of mean-field forward-backw...Show More

Backward linear quadratic stochastic optimal control problems and nonzero sum differential games

Yanjun Lou;Wenqiang Li

2013 25th Chinese Control and Decision Conference (CCDC)

Year: 2013 | Conference Paper |

Gap phenomenon in the homogenization of parabolic optimal control problems

;;

IMA Journal of Mathematical Control and Information

Year: 2008 | Volume: 25, Issue: 4 | Journal Article |

In this paper, we study the asymptotic behaviour of a parabolic optimal control problem in a domain Ω${}_\varepsilon$ ⊂ $\mathbb{R}^{n}$, whose boundary ∂Ω${}_\varepsilon$ contains a highly oscillating part. We consider this problem with two different classes of Dirichlet boundary controls, and, as a result, we provide its asymptotic analysis with respect to the different topologies of homogenizat...Show More

Gap phenomenon in the homogenization of parabolic optimal control problems

;;

IMA Journal of Mathematical Control and Information

Year: 2008 | Volume: 25, Issue: 4 | Journal Article |

IEEE Personal Account

Change username/password

Purchase Details

Payment Options
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

Follow

About IEEE Xplore | Contact Us | Help | Accessibility | Terms of Use | Nondiscrimination Policy | IEEE Ethics Reporting | Sitemap | IEEE Privacy Policy

A public charity, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.

© Copyright 2025 IEEE - All rights reserved, including rights for text and data mining and training of artificial intelligence and similar technologies.

IEEE Account

Change Username/Password
Update Address

Purchase Details

Payment Options
Order History
View Purchased Documents

Profile Information

Communications Preferences
Profession and Education
Technical Interests

Need Help?

US & Canada: +1 800 678 4333
Worldwide: +1 732 981 0060
Contact & Support

About IEEE Xplore
Contact Us
Help
Accessibility
Terms of Use
Nondiscrimination Policy
Sitemap
Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.

Test Whats new message.