检索结果-内蒙古大学图书馆

A New Anisotropy-Based Control Design Approach for Descriptor Systems Using convex optimization techniques

IFAC-PapersOnLine 2015年第11 11期48卷 372-377页

作者： Belov, Alexey A. Andrianova, Olga G. Institute of Control Sciences of Russian Academy of Sciences Profsoyuznaya 65 Moscow117997 Russia

关键词： Discrete time control systems Anisotropy convex optimization Describing functions Colored noise Control design Control problems convex optimization techniques Descriptor systems Discrete time descriptor systems Suboptimal control

来源：评论

学校读者我要写书评

暂无评论

Optimal downlink and uplink design in a wireless powered two-user indoor communication system

引用

IET COMMUNICATIONS 2022年第7期16卷 745-759页

作者： Syam, M. S. Che, Yue Ling Luo, Sheng Wu, Kaishun Shenzhen Univ Coll Elect & Informat Engn Shenzhen Guangdong Peoples R China Shenzhen Univ IoT Res Ctr Shenzhen Guangdong Peoples R China Shenzhen Univ Coll Comp Sci & Software Engn Canghai Campus Shenzhen 518060 Guangdong Peoples R China

This paper applies the wireless powered communication network (WPCN) to an indoor communication system with two energy harvesting (EH) enabled users. Unlike the existing WPCN works designed for outdoor communications, where each user harvests energy only from the signals transmitted by a dedicatedly deployed hybrid access point (H-AP), due to the short device-to-device distance in the indoor scenario, each user additionally harvests a sufficient amount of energy from the information signals transmitted by the H-AP and the other user. First, the joint downlink and uplink throughput are maximized for the wireless powered indoor communication system. This problem is non-convex. Thus, the authors manage to transform this problem into a convex one and solve it using convex optimization techniques. The solutions reveal that the total throughput increases largely over a reduced device-to-device distance due to the resultant harvested energy from both energy and information signals at each user. However, an unfair downlink versus uplink rate allocation phenomenon is observed. Thus, considering the importance of uplink communication quality for various indoor applications, a new problem is further proposed to maximize the uplink sum-throughput over both users with an additional constraint to ensure a sufficient downlink rate. This problem is also shown to be non-convex and is solved optimally by using a method similar to that in the first problem. Numerical results demonstrate the effectiveness of the proposed approach for improving the downlink versus uplink rate allocation fairness in the indoor wireless-powered communication system.

关键词： nonconvex problem unfair downlink uplink design information signals indoor scenario sufficient downlink rate dedicatedly deployed hybrid access point energy harvesting uplink rate allocation phenomenon convex programming telecommunication power management indoor applications total throughput increases outdoor communications uplink communication quality radio access networks wireless powered indoor communication system uplink rate allocation fairness convex optimization techniques uplink throughput two-user indoor communication system optimal downlink wireless-powered communication system indoor communication uplink sum-throughput device-to-device distance mobile radio wireless powered communication network multi-access systems

来源：评论

学校读者我要写书评

暂无评论

Regularized LTI System Identification with Multiple Regularization Matrix

引用

IFAC-PapersOnLine 2018年第15期51卷 180-185页

作者： Chen, Tianshi Andersen, Martin S. Mu, Biqiang Yin, Feng Ljung, Lennart Qin, S. Joe School of Science and Engineering and Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen Hong Kong Department of Applied Mathematics and Computer Science Technical University of Denmark Copenhagen Denmark Department of Electrical Engineering Linköping University Linköping Sweden Department of Electrical Engineering Department of Chemical Engineering and Materials Science University of Southern California United States

Regularization methods with regularization matrix in quadratic form have received increasing attention. For those methods, the design and tuning of the regularization matrix are two key issues that are closely related. For systems with complicated dynamics, it would be preferable that the designed regularization matrix can bring the hyper-parameter estimation problem certain structure such that a locally optimal solution can be found efficiently. An example of this idea is to use the so-called multiple kernel Chen et al. (2014) for kernel-based regularization methods. In this paper, we propose to use the multiple regularization matrix for the filter-based regularization. Interestingly, the marginal likelihood maximization with the multiple regularization matrix is also a difference of convex programming problem, and a locally optimal solution could be found with sequential convex optimization techniques. © 2018

关键词： convex optimization Identification (control systems) Linear systems Number theory Optimal systems Religious buildings convex optimization techniques Difference of convex programming Hyper parameter Marginal likelihood Multiple kernels Optimal solutions Quadratic form Regularization methods

来源：评论

学校读者我要写书评

暂无评论

Easy Ways to Design Inputs to obtain Uncorrelated Outputs in MIMO System Identification

引用

IFAC-PapersOnLine 2018年第15期51卷 227-232页

作者： Häggblom, Kurt E. Faculty of Science and Engineering Åbo Akadeni University Åbo [Turku] Finland

The traditional way of exciting a system with multiple inputs and multiple outputs (MIMO) for identification purposes is to perturb all inputs simultaneously in an uncorrelated way. A drawback of this kind of excitation is that it may produce highly correlated outputs with a strong directionality, which is not good for identifiability. If this directionality is known, it can be counteracted by the input design. One method to do this was proposed twenty-five years ago. In this method, an estimate of the steady-state gain matrix is used to design inputs with the objective of obtaining outputs that are amplified equally in all directions. Design methods to include the effect of dynamics have recently been proposed. Although not included as a design criterion, the methods yield nearly uncorrelated outputs. Unfortunately, the methods are computationally very complicated. More recently, this author introduced a design method that directly addresses the output correlation. It is based on an approximate covariance model which allows the output correlation to be minimized by convex optimization techniques subject to variance constraints. In this paper, a more rigorous formulation using a full state-space model as well as a simplified formulation using an iteratively determined dynamic gain matrix are introduced. The usability of the three methods are illustrated by examples. © 2018

关键词： Design convex optimization Identification (control systems) Iterative methods MIMO systems Multivariable systems Religious buildings State space methods convex optimization techniques Covariance modeling Experiment design Identification for control Ill conditioned systems Multiple inputs and multiple outputs State space models Variance constraints

来源：评论

学校读者我要写书评

暂无评论

Robust Constrained Receding Horizon Control for Linear Time-Varying Systems with Delays

引用

IFAC-PapersOnLine 2016年第10期49卷 100-105页

作者： McGahan, Paul Vyhlídal, Tomá CTU in Prague Department of Control and Instrumentation Eng. Faculty of Mechanical Eng. Technická St. 4 166 07 Prague 6 Czech Republic

A robust infinite horizon receding horizon control (RHC) for linear time-varying systems with delays is synthesized. Known, constant, deterministic time delays are assumed to be present in both the state and input. The control input is subject to hard, symmetric constraints. Polytopic uncertainty, which is assumed to be obtained from e.g. input/output data at different operating points of a non-linear plant, is considered. At each time step, a robustly stabilizing, state-feedback control law is designed which minimizes a worst-case (infinite horizon) objective function. The numerically intractable minimax problem is relaxed to a series of linear matrix inequalities (LMIs) using widely known convex optimization techniques. Two examples are presented to illustrate the control design procedure. The first is a simple second order system for illustrative purposes whilst the second is an experimental heat transfer set-up. Potential extensions are discussed such as disturbance modelling, reference tracking, gain scheduling and Lyapunov-Krasovskii functionals which consider systems with variable time delay in both state and input. © 2016

关键词： Discrete time control systems convex optimization Delay control systems Digital control systems Feedback control Heat transfer Linear matrix inequalities Lyapunov functions Robust control Robustness (control systems) State feedback Time delay Time varying control systems Time varying systems Constraints convex optimization techniques Discrete time systems Linear Matrix Inequalities (LMIs) Linear time varying systems Lyapunov Krasovskii functionals Predictive control State feedback control law

来源：评论

学校读者我要写书评

暂无评论

Improving the Physical-Layer Security of Wireless Two-Way Relaying via Analog Network Coding

Improving the Physical-Layer Security of Wireless Two-Way Re...

引用

54th Annual IEEE Global Telecommunications Conference (GLOBECOM)

作者： Wang, Hui-Ming Yin, Qinye Xia, Xiang-Gen Xi An Jiao Tong Univ Sch Elect & Informat Engn Xian Peoples R China Xidian Univ State Key Lab Integrat Serv Networks Xian Peoples R China Xi An Jiao Tong Univ Minist Educ Key Lab Intelligent Network & Network Xian 710049 Shaanxi Peoples R China Univ Delaware Dept Elect & Comp Engn Newark DE 19716 USA

ISBN: (纸本)9781424492688

In this paper, we address the physical-layer security of two-way (bi-directional) transmissions of two terminals with the help of multiple relay nodes in the presence of an eavesdropper, where each node in the network is only equipped with single antenna. The secrecy sum rate is used as the metric of security, which is the rate difference between the legitimate information exchange between the terminals and the information leakage to the eavesdropper. We propose two-phase analog network coding (ANC) and power allocation scheme for the relay nodes and terminals to enhance the security of the data exchange. Three different schemes are proposed. The first scheme is the optimal ANC to achieve the maximum secrecy sum rate, i.e. secrecy capacity, which is found to be mathematically difficult to solve. Two suboptimal schemes are proposed with and without the instantaneous channel state information (CSI) of the eavesdropper, respectively. The solutions of both schemes are shown to be unique and globally optimum, which are solved by convex optimization techniques. Numerical evaluation results of the obtained secrecy sum rate and transmit power are provided and analyzed to show the properties and efficiency of the proposed ANCs.

关键词： Array signal processing CSI Noise Peer to peer computing Quality of service Relays Security Vectors bidirectional transmissions channel estimation convex optimization techniques convex programming data exchange security eavesdropper information leakage instantaneous channel state information legitimate information exchange maximum secrecy sum rate multiple relay nodes network coding network node numerical evaluation optimal ANC physical-layer security power allocation scheme radio networks rate difference relay terminals secrecy capacity single antenna telecommunication security two-phase analog network coding two-way transmissions wireless two-way relaying

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：