標(biāo)題: Titlebook: Computational Intelligence and Optimization Methods for Control Engineering; Maude Josée Blondin,Panos M. Pardalos,Javier Sanch Book 2019 [打印本頁(yè)] 作者: infection 時(shí)間: 2025-3-21 16:33
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering影響因子(影響力)
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering影響因子(影響力)學(xué)科排名
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering被引頻次
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering被引頻次學(xué)科排名
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering年度引用
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering年度引用學(xué)科排名
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering讀者反饋
書(shū)目名稱Computational Intelligence and Optimization Methods for Control Engineering讀者反饋學(xué)科排名
作者: AWL 時(shí)間: 2025-3-21 23:09 作者: DEFER 時(shí)間: 2025-3-22 03:19
Optimal Controller Parameter Tuning from Multi/Many-objective Optimization Algorithms,conventional controllers like PID are designed, so that the desired performance is reached only by adjusting the controller parameters; this adjustment mechanism is called tuning. Even many approaches are proposed for tuning; still, it remains one of the problems of control theory due to the imperfe作者: 思想靈活 時(shí)間: 2025-3-22 04:41
Fuzzy and Neuro-fuzzy Control for Smart Structures,uncertainties. Especially in smart structures, which is the case here, a significant degree of uncertainty is involved due to several imperfections and/or errors of both the controller and the structure itself. For example, in structures with multiple layers, several failures may appear, such as del作者: ingenue 時(shí)間: 2025-3-22 10:43
Computational Intelligence in the Desalination Industry,ld of water desalination—on the employment of computational intelligence (CI) systems in this technological field. The main goal of the proposals put forward has been to tackle the high degree of complexity involved in the different processes that can be found in the desalination industry. The wide 作者: Cholecystokinin 時(shí)間: 2025-3-22 15:48
Control of Complex Biological Systems Utilizing the Neural Network Predictor,inties. Because a lot of data are collected in modern systems, a data-driven approach can be employed to design intelligent control algorithms. Specifically, machine learning can be used to take advantage of the available datasets and predict the behavior of the system for improved design and perfor作者: Cholecystokinin 時(shí)間: 2025-3-22 18:13
A Real-Time Big Data Control-Theoretical Framework for Cyber-Physical-Human Systems,quitous information sensing and processing, intelligent machine-to-machine communication for a seamless coordination, as well as intelligent interactions between humans and machines. This chapter presents a control-theoretical framework to model heterogeneous physical dynamic systems, information an作者: 辯論的終結(jié) 時(shí)間: 2025-3-23 01:11 作者: Innovative 時(shí)間: 2025-3-23 02:32
Coherency Estimation in Power Systems: A Koopman Operator Approach,rch and understanding of the impact of the non-synchronous generation through back-to-back Full Rated Converters’ (FRCs) on power system’s coherency is a matter of importance. Coherency behavior under the presence of large inclusion of non-synchronous generation requires more research, in order to u作者: BOON 時(shí)間: 2025-3-23 06:31 作者: Ergots 時(shí)間: 2025-3-23 09:44 作者: 有花 時(shí)間: 2025-3-23 16:29 作者: antidepressant 時(shí)間: 2025-3-23 22:00
Disturbance Rejection Run-to-Run Controller for Semiconductor Manufacturing,ng environments. While we discussed the source of uncertainty and disturbance in wafer fabrication process, the photolithography process as one of the cutting-edge steps in wafer fabrication is selected for illustrating the power of disturbance rejection algorithm for compensating the misalignment. 作者: irritation 時(shí)間: 2025-3-23 23:06
Energy Management Improvement Based on Fleet Digitalization Data Exploitation for Hybrid Electric Br the different proposed fleet management approaches. In order to tackle the digitalization challenge of exploiting the large data volume of a fleet of vehicles, a methodology for improving electrified buses energy efficiency at fleet level is proposed. In addition, an energetic analysis of a fleet 作者: concentrate 時(shí)間: 2025-3-24 06:15 作者: FLORA 時(shí)間: 2025-3-24 09:08 作者: landmark 時(shí)間: 2025-3-24 13:43 作者: 安定 時(shí)間: 2025-3-24 15:42
,Ma?regeln der Besserung und Sicherung,physical interactions of neighboring agents as well as physical-human interactions, and finally to dynamically model and optimize the overall networked system. The hierarchical structure makes the overall optimization and control problem scalable and solvable. Moreover, the three levels integrate in作者: 鍵琴 時(shí)間: 2025-3-24 20:06
https://doi.org/10.1007/3-540-29983-1ording to the penetration level or fault location. The applied method of coherency identification is evaluated in the Nordic test system through gradually increasing integration of non-synchronous generations and different fault scenarios.作者: 草率女 時(shí)間: 2025-3-25 01:21 作者: conservative 時(shí)間: 2025-3-25 03:46 作者: Ejaculate 時(shí)間: 2025-3-25 08:52
https://doi.org/10.1007/3-540-29983-1added to the routes to simulate “real” road and daily operation conditions. This data is used for monitoring the energetic key performance factors by learning from the buses with the best energetic behavior. Finally, a decision-making process is applied to improve the local energy management of the 作者: 食料 時(shí)間: 2025-3-25 13:21 作者: 內(nèi)向者 時(shí)間: 2025-3-25 16:12 作者: 卵石 時(shí)間: 2025-3-25 21:24
Computational Intelligence in the Desalination Industry,y sources to directly power these plants. This has added new challenges to the management of desalination processes as the temporal variability of renewable energy sources makes the decision-making processes more complicated. In turn, this means that a multivariable approach is required to ensure op作者: 愛(ài)好 時(shí)間: 2025-3-26 01:47 作者: 頌揚(yáng)國(guó)家 時(shí)間: 2025-3-26 07:16
A Real-Time Big Data Control-Theoretical Framework for Cyber-Physical-Human Systems,physical interactions of neighboring agents as well as physical-human interactions, and finally to dynamically model and optimize the overall networked system. The hierarchical structure makes the overall optimization and control problem scalable and solvable. Moreover, the three levels integrate in作者: Perennial長(zhǎng)期的 時(shí)間: 2025-3-26 10:00
Coherency Estimation in Power Systems: A Koopman Operator Approach,ording to the penetration level or fault location. The applied method of coherency identification is evaluated in the Nordic test system through gradually increasing integration of non-synchronous generations and different fault scenarios.作者: 詩(shī)集 時(shí)間: 2025-3-26 13:22 作者: 我沒(méi)有強(qiáng)迫 時(shí)間: 2025-3-26 16:57 作者: BOOST 時(shí)間: 2025-3-26 21:47
Energy Management Improvement Based on Fleet Digitalization Data Exploitation for Hybrid Electric Badded to the routes to simulate “real” road and daily operation conditions. This data is used for monitoring the energetic key performance factors by learning from the buses with the best energetic behavior. Finally, a decision-making process is applied to improve the local energy management of the 作者: 反叛者 時(shí)間: 2025-3-27 02:30 作者: 冬眠 時(shí)間: 2025-3-27 06:45
1931-6828 reader with future directions and insights into developing .This volume presents some recent and principal developments related to computational intelligence and optimization methods in control. Theoretical aspects and practical applications of control engineering are covered by 14 self-contained c作者: 陶器 時(shí)間: 2025-3-27 09:58
https://doi.org/10.1007/3-540-29983-1 cutting-edge steps in wafer fabrication is selected for illustrating the power of disturbance rejection algorithm for compensating the misalignment. Along with this case study, some classification of disturbance rejection control algorithm with the structure of control plant is discussed.作者: 浮雕 時(shí)間: 2025-3-27 16:56
Disturbance Rejection Run-to-Run Controller for Semiconductor Manufacturing, cutting-edge steps in wafer fabrication is selected for illustrating the power of disturbance rejection algorithm for compensating the misalignment. Along with this case study, some classification of disturbance rejection control algorithm with the structure of control plant is discussed.作者: 大炮 時(shí)間: 2025-3-27 20:32 作者: 完整 時(shí)間: 2025-3-27 23:48
,Ma?regeln der Besserung und Sicherung,ations, the chapter focuses on four intelligent control techniques, which are fuzzy logic control, neural networks, metaheuristics control tuning, and multi-agent systems. Perspective and new trends of research are also exposed for each presented control technique as well as for control systems in general.作者: 一再煩擾 時(shí)間: 2025-3-28 06:04
https://doi.org/10.1007/978-3-540-89064-5heir applicability, their efficiency, and their robustness. In other words, the controllers can be designed based on intuition and basic engineering principles, and then they can be subjected to optimization, e.g., to training/learning using artificial neural networks, in order to achieve certain properties.作者: 無(wú)思維能力 時(shí)間: 2025-3-28 09:22 作者: grounded 時(shí)間: 2025-3-28 11:58
,Control Engineering from Classical to Intelligent Control Theory—An Overview,ations, the chapter focuses on four intelligent control techniques, which are fuzzy logic control, neural networks, metaheuristics control tuning, and multi-agent systems. Perspective and new trends of research are also exposed for each presented control technique as well as for control systems in general.作者: 冷淡周邊 時(shí)間: 2025-3-28 16:38
Fuzzy and Neuro-fuzzy Control for Smart Structures,heir applicability, their efficiency, and their robustness. In other words, the controllers can be designed based on intuition and basic engineering principles, and then they can be subjected to optimization, e.g., to training/learning using artificial neural networks, in order to achieve certain properties.作者: BRAVE 時(shí)間: 2025-3-28 21:43 作者: RAFF 時(shí)間: 2025-3-29 00:21 作者: deactivate 時(shí)間: 2025-3-29 06:41
https://doi.org/10.1007/978-3-662-59442-1g are the most known. A possible acceleration of the convergence can be obtained by using tunneling algorithms. Concerning the global methods, the Genetic or Evolution Algorithms (GA), Ant Colony Optimization (ACO), and the Particle Swarm Optimization (PSO) are the most known.作者: 上腭 時(shí)間: 2025-3-29 09:19
https://doi.org/10.1007/3-540-29983-1butes a new dataset of detailed power consumption data that was captured in a residence that was specially set up. The results show that by analyzing overlapping power patterns that electrical appliances generate, and a resident-level energy meter of adequate granularity, appliance identification becomes possible.作者: Compass 時(shí)間: 2025-3-29 15:29 作者: 相信 時(shí)間: 2025-3-29 18:31 作者: 微不足道 時(shí)間: 2025-3-29 23:44 作者: 鎮(zhèn)壓 時(shí)間: 2025-3-30 00:29
,Ma?regeln der Besserung und Sicherung, past decades due to technological advances and technology affordability. Nowadays, almost all engineering activities exploit automatic control. Therefore, this chapter aims to provide the core knowledge concerning some of the most important features in control design and its methods. It covers basi作者: 遣返回國(guó) 時(shí)間: 2025-3-30 04:02
https://doi.org/10.1007/978-3-662-59442-1eers prefer to use metaheuristics which are able to produce good solutions in a reasonable computation time. The metaheuristic approaches can be separated into two classes: the local search techniques and the global ones. Among the local search techniques, the taboo search and the simulated annealin作者: 有其法作用 時(shí)間: 2025-3-30 09:14
,Ma?regeln der Besserung und Sicherung,conventional controllers like PID are designed, so that the desired performance is reached only by adjusting the controller parameters; this adjustment mechanism is called tuning. Even many approaches are proposed for tuning; still, it remains one of the problems of control theory due to the imperfe作者: Injunction 時(shí)間: 2025-3-30 12:31 作者: Nuance 時(shí)間: 2025-3-30 17:12
,Ma?regeln der Besserung und Sicherung,ld of water desalination—on the employment of computational intelligence (CI) systems in this technological field. The main goal of the proposals put forward has been to tackle the high degree of complexity involved in the different processes that can be found in the desalination industry. The wide 作者: 初學(xué)者 時(shí)間: 2025-3-30 23:46
,Ma?regeln der Besserung und Sicherung,inties. Because a lot of data are collected in modern systems, a data-driven approach can be employed to design intelligent control algorithms. Specifically, machine learning can be used to take advantage of the available datasets and predict the behavior of the system for improved design and perfor
