scholarly journals Leveraging Integrated Model-Based Approaches to Unlock Bioenergy Potentials in Enhancing Green Energy and Environment

2020 ◽  
Author(s):  
Fabrice Abunde Neba ◽  
Prince Agyemang ◽  
Yahaya D. Ndam ◽  
Endene Emmanuel ◽  
Eyong G. Ndip ◽  
...  
Keyword(s):  
Integrated Model ◽  
Green Energy ◽  
Energy And Environment ◽  
Model Based

Design and Implement of the High-Cutting Slope’s Integrated Model Based on 3D GIS

2011 ◽  
Vol 13 (1) ◽  
pp. 102-108
Author(s):  
Zhongshi TANG ◽  
Yanzuo WANG ◽  
Yu XIN ◽  
Fenzhi WU ◽  
Weiqiang ZHOU ◽  
...  
Keyword(s):  
Integrated Model ◽  
3D Gis ◽  
Model Based

scholarly journals Data-Driven Model-Free Adaptive Control of Z-Source Inverters

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7438
Author(s):  
Yasin Asadi ◽  
Amirhossein Ahmadi ◽  
Sasan Mohammadi ◽  
Ali Moradi Amani ◽  
Mousa Marzband ◽  
...  
Keyword(s):  
State Feedback ◽  
Adaptive Controller ◽  
Green Energy ◽  
Data Driven ◽  
Control Action ◽  
Linear Quadratic ◽  
Model Based ◽  
Model Free ◽  
Quadratic Integral ◽  
Lyapunov Sense

The universal paradigm shift towards green energy has accelerated the development of modern algorithms and technologies, among them converters such as Z-Source Inverters (ZSI) are playing an important role. ZSIs are single-stage inverters which are capable of performing both buck and boost operations through an impedance network that enables the shoot-through state. Despite all advantages, these inverters are associated with the non-minimum phase feature imposing heavy restrictions on their closed-loop response. Moreover, uncertainties such as parameter perturbation, unmodeled dynamics, and load disturbances may degrade their performance or even lead to instability, especially when model-based controllers are applied. To tackle these issues, a data-driven model-free adaptive controller is proposed in this paper which guarantees stability and the desired performance of the inverter in the presence of uncertainties. It performs the control action in two steps: First, a model of the system is updated using the current input and output signals of the system. Based on this updated model, the control action is re-tuned to achieve the desired performance. The convergence and stability of the proposed control system are proved in the Lyapunov sense. Experiments corroborate the effectiveness and superiority of the presented method over model-based controllers including PI, state feedback, and optimal robust linear quadratic integral controllers in terms of various metrics.

scholarly journals Model-Based Analysis of Yo-yo Throwing Motion on Single-Link Manipulator

2020 ◽  
Vol 32 (4) ◽  
pp. 822-831
Author(s):  
Hokuto Miyakawa ◽  
◽  
Takuma Nemoto ◽  
Masami Iwase
Keyword(s):  
Angular Velocity ◽  
Numerical Simulations ◽  
Integrated Model ◽  
Analysis Method ◽  
Model Based ◽  
Single Link ◽  
Throwing Motion ◽  
Model Based Analysis

This paper presents a method for analyzing the throwing motion of a yo-yo based on an integrated model of a yo-yo and a manipulator. Our previous integrated model was developed by constraining a model of a white painted commercial yo-yo and a model of a plain single-link manipulator with certain constraining conditions placed between two models. However, for the yo-yo model, the collisions between the string and the axle of the yo-yo were not taken into account. To avoid this problem, we estimate some of the yo-yo parameters from the experiments, thereby preserving the functionality of the model. By applying the new integrated model with the identified parameters, we analyze the throwing motion of the yo-yo through numerical simulations. The results of which show the ranges of the release angle and the angular velocity of the joint of the manipulator during a successful throw. In conclusion, the proposed analysis method is effective in analyzing the throwing motion of a manipulator.

scholarly journals EcoMat: Join us in the pursuit of functional materials for green energy and environment

EcoMat ◽  
2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Zijian Zheng ◽  
SonBinh Nguyen ◽  
Sang Il Seok ◽  
Huijun Zhao
Keyword(s):  
Functional Materials ◽  
Green Energy ◽  
Energy And Environment

Knowledge Sharing Motivation

2020 ◽  
pp. 171-200
Author(s):  
Nelly Todorova ◽  
Annette M. Mills
Keyword(s):  
Knowledge Management ◽  
Knowledge Sharing ◽  
Integrated Model ◽  
Motivational Factors ◽  
Relative Importance ◽  
Model Based ◽  
Factors Influencing ◽  
Extrinsic Motivators ◽  
Reward Programs ◽  
Social Behaviours

Organisations invest heavily in knowledge management technologies and initiatives which are entirely dependent on the willingness of employees to share their knowledge. Educational and reward programs need to be informed by an understanding of what motivates people to share their knowledge at work. Prior research based on motivational theories suggests the importance of intrinsic and extrinsic motivators to encourage voluntary pro-social behaviours such as knowledge sharing. However, the literature on motivation in the context of knowledge sharing is still emerging and fragmented. This chapter therefore proposes an integrated model that brings together theoretical insights from motivational research to explain the influence of key intrinsic and extrinsic motivators on knowledge sharing. The chapter reports the results of the assessment of the model based on data collected across 10 organisations. The discussion of results contributes to the understanding of motivational factors influencing attitude and intention to share knowledge and their relative importance.

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