检索结果-内蒙古大学图书馆

Data-Driven Method for Response Control of Nonlinear Random Dynamical Systems

JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME 2021年第4期88卷 041012页

作者： Tian, Yanping Jin, Xiaoling Wu, Lingling Yang, Ying Wang, Yong Huang, Zhilong Hangzhou Dianzi Univ Coll Mech Engn Hangzhou 310018 Peoples R China Zhejiang Univ Dept Engn Mech Hangzhou 310027 Peoples R China Arizona State Univ Sch Engn Matter Transport & Energy Tempe AZ 85287 USA

The response control of nonlinear random dynamical systems is an important but also difficult subject in scientific and industrial fields. This work merges the decomposition technique of feedback control and the data-driven identification method of stationary response probability density, converts the constrained functional extreme value problem associated with optimal control to an unconstrained optimization problem of multivariable function, and determines the optimal coefficients of preselected control terms by an optimization algorithm. This data-driven method avoids the difficulty of solving the stochastic dynamic programming equation or forward-backward stochastic differential equations encountered in classical control theories, the miss of the conservative mechanism in the nonlinear stochastic optimal control strategy, and the difficulty of judging the integrability and resonance of the controlled Hamiltonian systems encountered in the direct-control method. The application and efficacy of the data-driven method are illustrated by the random response control problems of the Duffing oscillator, van der Pol system, and a two degrees-of-freedom nonlinear system.

关键词： random response control nonlinear dynamical system data-driven method decomposition technique of feedback control optimization algorithm vibration

来源：评论

学校读者我要写书评

暂无评论

Computer-assisted design of transducers for ultrasonic sensor systems

引用

MEASUREMENT SCIENCE AND TECHNOLOGY 2009年第12期20卷 124012-124012页

作者： Henning, B. Rautenberg, J. Unverzagt, C. Schroeder, A. Olfert, S. Univ Gesamthsch Paderborn Measurement Engn Grp Fac Elect Engn Comp Sci & Math D-4790 Paderborn Germany

In this contribution, possibilities and methods for computer-assisted design of ultrasound transducers are described. These transducers are essential for an ultrasonic sensor design, e. g. for continuous non-invasive determination of quantities that are important in process technology. To achieve technical reliability and robustness, the precise determination of all acoustic properties of the used sensor materials is of great importance. Problem-oriented modeling, numerical simulation, special optimization algorithms and improved methods for the visualization of propagating waves offer new and promising possibilities for developing ultrasonic transducers with enhanced properties.

关键词： ultrasonic sensor design optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Carbon price forecasting system based on error correction and divide-conquer strategies

引用

APPLIED SOFT COMPUTING 2022年第0期118卷 107935-107935页

作者： Niu, Xinsong Wang, Jianzhou Zhang, Lifang Dongbei Univ Finance & Econ Sch Stat Dalian 116025 Peoples R China

Carbon price forecasting is an important component of a sound carbon price market mechanism. The accurate prediction of carbon prices is an active topic of research. However, many previous studies have focused on the application of a single model, ignoring the application of combination strategies. In this study, a hybrid forecasting system that includes error correction strategy and divide-conquer strategy is designed to predict the carbon price series accurately. Specifically, the main framework of this article comprises four modules. Data preprocessing module of the divide and conquer strategy is proposed. Next, the optimization module uses a multi-objective grasshopper optimization algorithm to enhance the performance of the prediction module. Then, the error correction module predicts the error sequence and corrects the model results. To verify the performance of the established hybrid forecasting system, experiments were performed using two real carbon price series from China and European Union emissions trading schemes, and the results showed that the mean absolute percentage errors of the system were 2.7793% and 0.6720%, respectively, which are better than the other benchmark methods considered. Moreover, it was proved that the designed forecasting system provides a new, effective, and feasible solution for carbon price forecasting. (c) 2021 Elsevier B.V. All rights reserved.

关键词： Artificial intelligence Carbon price forecasting Data preprocessing optimization algorithm Error correction

来源：评论

学校读者我要写书评

暂无评论

Optimizing Decoy-State Protocols for Practical Quantum Key Distribution Systems

引用

ADVANCED QUANTUM TECHNOLOGIES 2021年第4期4卷

作者： Fan-Yuan, Guan-Jie Wang, Ze-Hao Wang, Shuang Yin, Zhen-Qiang Chen, Wei He, De-Yong Guo, Guang-Can Han, Zheng-Fu Univ Sci & Technol China CAS Key Lab Quantum Informat Hefei 230026 Anhui Peoples R China Univ Sci & Technol China CAS Ctr Excellence Quantum Informat & Quantum Phy Hefei 230026 Anhui Peoples R China State Key Lab Cryptol POB 5159 Beijing 100878 Peoples R China

The decoy-state protocol enables quantum key distribution (QKD) systems to achieve high performance without using the single-photon source. In the dozen years since the decoy-state protocol has been proposed, a series of advances in scheme design, finite-size analysis, system modelling, and parameter estimation has developed. Unfortunately, most advances are based on different starting points and lack a synthesis to figure out the optimal protocol of decoy-state method. Here, the advances in decoy-state method are reviewed and they are synthesized to compare the key-rate performance of 38 decoy-state protocols using the particle swarm optimization (PSO) algorithm. To form a guideline for practical QKD systems, the optimal decoy-state protocols are found with the change of five system parameters (the transmission loss, the block size of postprocessing, the misalignment-error probability, the dark-count probability, and the afterpulse rate). It is expected that this work can answer the questions of what the actual performance is for different decoy-state protocol in various scenarios and which decoy-state protocol is the optimal choice for various QKD systems.

关键词： decoy-state protocol optimization algorithm quantum key distribution system modelling

来源：评论

学校读者我要写书评

暂无评论

Artificial lizard search optimized fuzzy logic approach to addressing authentication and data security challenges in P2P cloud environments

引用

COMPUTERS & SECURITY 2023年 135卷

作者： Flavia, B. Judy Chelliah, Balika J. SRMIST Ramapuram Comp Sci & Engn Chennai Tamil Nadu India

The cloud is a widely used technology for inter-organizational data exchange and managing digital information. Even though it offers significant potential for user convenience it is subjected to different security as well as privacy issues due to the refusal of the cloud peer to disclose their identity to others. This arise the need for an effective data exchange among different cloud peers by preserving the anonymity and data privacy of the users. Hence, an anonymous secure data exchange solution is presented in this article by employing authentication as well as key agreement (AKA) protocol. The Fuzzy Logic-Based Anonymous Identity Generation Module is used to improve the data security and user privacy of the AKA protocol by establishing mutual authentication for multiple users via the session keys. The use of the peer-to-peer (P2P) cloud system in this study offers secure and reliable storage since data is partitioned into small blocks and stored in multiple locations. The fuzzy logic model offers registration services and prevents the P2P cloud from various attacks and temporary key leakage issues using the session key. The proposed model is tested on the NIST Special Database 302, and it demonstrates superior performance compared to existing methods. Experimental results confirm the effectiveness of the proposed method in achieving better security and resilience against various cyber-attacks. Furthermore, it minimizes communication overhead during the authentication process and provides resistance against various cyber-attacks. In this manner, the proposed model withstands different attacks and preserves user privacy when compared to the baseline security protocols.

关键词： Peer -to -peer cloud Key agreement protocol Fuzzy logic Authentication Crossover -based artificial lizard search optimization algorithm Anonymous identity

来源：评论

学校读者我要写书评

暂无评论

Data-driven model predictive control for building climate control: Three case studies on different buildings

引用

BUILDING AND ENVIRONMENT 2019年第0期160卷 106204-000页

作者： Wang, Jiangyu Li, Shuai Chen, Huanxin Yuan, Yue Huang, Yao Huazhong Univ Sci & Technol Sch Energy & Power Engn Dept Refrigerat & Cryogen Engn Wuhan Hubei Peoples R China Hong Kong Polytech Univ Dept Comp Kowloon Hong Kong Peoples R China Huazhong Univ Sci & Technol China EU Inst Clean & Renewable Energy Wuhan Hubei Peoples R China

Model predictive control(MPC) achieves great performance in energy management of the building. However, identifying a suitable control-oriented model for MPC is a challenging task. To overcome this problem, we attempt to apply the data-driven models which have universal approximation ability to the MPC task. In this paper, we propose a hybrid optimization algorithm, namely BSAS-LM algorithm, to solve the optimization problem with non-linear or non-convex data-driven models involved in data-driven predictive control(DDPC). To demonstrate the feasibility and scalability of the proposed hybrid optimization method, three case studies are implemented in three buildings with different geometries. The DDPC controllers are developed for each case study in three scenarios, namely constant temperature setpoint, lower temperature setpoint and pre-heating. EnergyPlus is employed to develop the building models and is then exported to Functional Mock-up Units(FMUs) for co-simulation. In the case study #1, the data-driven algorithms such as auto-regressive with external disturbance (ARX) and support vector regression(SVR) are used to develop models for a single-zone building. Those models are then applied in DDPC for climate control of the building. In the case study #2 and #3, the multilayer perceptron(MLP)-based DDPC is applied to two three-zones buildings. Results show that DDPC achieves comparable performance to the grey-box model based MPC. Besides, results also demonstrate the feasibility and scalability of the proposed method in DDPC integrated with various data-driven models.

关键词： Data-driven predictive control Deep learning Resistancecapacity model Building climate control optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Investigation on the Integration of Low-Cost NIR Spectrometers in Mill Flour Industries for Protein, Moisture and Ash Content Estimation

引用

SENSORS 2023年第20期23卷 8476-8476页

作者： Boglou, Vasileios Verginadis, Dimosthenis Karlis, Athanasios Democritus Univ Thrace DUTH Dept Elect & Comp Engn Xanthi 67100 Greece

The flour milling industry-a vital component of global food production-is undergoing a transformative phase driven by the integration of smart devices and advanced technologies. This transition promises improved efficiency, quality and sustainability in flour production. The accurate estimation of protein, moisture and ash content in wheat grains and flour is of paramount importance due to their direct impact on product quality and compliance with industry standards. This paper explores the application of Near-Infrared (NIR) spectroscopy as a non-destructive, efficient and cost-effective method for measuring the aforementioned essential parameters in wheat and flour by investigating the effectiveness of a low-cost handle NIR spectrometer. Furthermore, a novel approach using Fuzzy Cognitive Maps (FCMs) is proposed to estimate the protein, moisture and ash content in grain seeds and flour, marking the first known application of FCMs in this context. Our study includes an experimental setup that assesses different types of wheat seeds and flour samples and evaluates three NIR pre-processing techniques to enhance the parameter estimation accuracy. The results indicate that low-cost NIR equipment can contribute to the estimation of the studied parameters.

关键词： nondestructive instrumentation near-infrared spectrometry parameter estimation optimization algorithm fuzzy-cognitive-maps

来源：评论

学校读者我要写书评

暂无评论

Reverse Flood Routing in Rivers Using Linear and Nonlinear Muskingum Models

引用

JOURNAL OF HYDROLOGIC ENGINEERING 2021年第6期26卷 04021018-04021018页

作者： Badfar, Meisam Barati, Reza Dogan, Emrah Tayfur, Gokmen Sakarya Univ Fac Engn Dept Civil Engn Kemalpala Esentepe KampusuUniv Cd TR-54050 Serdivan Sakarya Turkey Khorasan Razavi Water Author Appl Res Grp Water Author Dist 1 Mashhad *** Razavi Khorasan Iran Sakarya Univ Dept Civil Engn Kemalpala Esentepe KampusuUniv Cd TR-54050 Serdivan Sakatya Turkey Izmir Inst Technol Dept Civil Engn TR-35430 Urla Izmir Turkey

One of the key factors for flood modeling and control is the flood hydrograph, which is not always available due to lack of flood discharge observations. In reverse flow routing, hydraulic or hydrological calculations are performed from the downstream end to the upstream end. In the present study, a reverse flood routing approach is developed based on the Muskingum model. The storage function is conceptualized as linear and five different nonlinear forms. The Euler and the fourth-order Runge-Kutta numerical methods are used for solving the storage models. The shuffled complex evolution (SCE) algorithm is used for optimization of the flood routing parameters. The models are calibrated and validated with theoretical and actual hydrographs. The results indicate that the proposed methodology could substantially (up to almost 82%) improve comparison with observed inflows. The practical applicability of the proposed methodology is also validated in real river systems.

关键词： Reverse flow routing Muskingum models Numerical schemes Parameter estimation optimization algorithm

来源：评论

学校读者我要写书评

暂无评论

Interactive Uncertainty Allocation and Tradeoff for Early Stage Design of Complex Systems

引用

AIAA JOURNAL 2020年第3期58卷 1356-1368页

作者： Molina-Cristobal, Arturo Chen, Xin Guenov, Marin D. Riaz, Atif van Heerden, Albert S. J. Cranfield Univ Sch Aerosp Transport & Mfg Ctr Aeronaut Cranfield MK43 0AL Beds England

A common probabilistic approach to perform uncertainty allocation is to assign acceptable variability in the sources of uncertainty, such that prespecified probabilities of meeting performance constraints are satisfied. However, the computational cost of obtaining the associated tradeoffs increases significantly when more sources of uncertainty and more outputs are considered. Consequently, visualizing and exploring the decision (trade) space becomes increasingly difficult, which, in turn, makes the decision-making process cumbersome for practicing designers. To address this problem, proposed is a parameterization of the input probability distribution functions, to account for several statistical moments. This, combined with efficient uncertainty propagation and inverse computation techniques, results in a computational system that performs order(s) of magnitude faster than a state-of-the-art optimization technique. The approach is demonstrated by means of an illustrative example and a representative aircraft thermal system integration example.

关键词： Probability Distribution Functions Surrogate Model Heat Dissipation Avionics Airframes Sensitivity Analysis Aircraft Conceptual Design Heat Transfer Coefficients optimization algorithm Material Properties

来源：评论

学校读者我要写书评

暂无评论

Optimal Operation Rules for Parallel Reservoir Systems with Distributed Water Demands

引用

JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT 2022年第6期148卷 04022020-04022020页

作者： Meng, Weisa Wan, Wenhua Zhao, Jianshi Wang, Zhongjing Tsinghua Univ Dept Hydraul Engn State Key Lab Hydrosci & Engn Beijing 100084 Peoples R China Dongguan Univ Technol Sch Environm & Civil Engn Dongguan 523808 Guangdong Peoples R China

This paper addresses the doubts regarding the spatial characteristics of the commonly used rules for parallel reservoir system operation. The rules based on aggregation-decomposition determine the system total release first and then assign this release to individual reservoirs, without considering the water demand distribution in the river network. In this paper, a conceptual model for parallel reservoir systems with distributed water demands is proposed. Three specific optimality conditions are derived for determining the optimal analytical solution. A rigorous proof shows that the aggregation-decomposition-based rules are a special case of the derived rules. An efficient algorithm is then developed based on the optimality conditions and shortage allocation index (SAI), in which a larger SAI indicates taking a higher percentage of the system water shortage, as release or storage. Unlike traditional algorithms that modify the violated variables empirically, we propose a criterion in terms of relative deviation indicators to determine the crucial priority of variable modification. This criterion can effectively address constraint violations. The optimal rules along with the solution algorithm are then demonstrated by the operation of a parallel reservoir system in the Shiyang River Basin, China. The results show that the proposed rules and algorithm are more efficient and effective than traditional algorithms and aggregation-decomposition-based rules, especially in dry seasons with more binding constraints.

关键词： Hedging rule Marginal benefit Shortage allocation index (SAI) Variable modification optimization algorithm

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：