Results 61 to 70 of about 4,229 (191)

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, EarlyView.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

Examining Transnational Education in British Universities for Enhancing Internationalisation: The Impact of Constructivism on Alignment

Future in Educational Research, EarlyView.
ABSTRACT Transnational education (TNE) and the accelerating internationalisation of higher education demand pedagogical approaches that support deep learning across diverse contexts. Constructive alignment (CA) is widely adopted to align learning outcomes, teaching and assessment; however, its underlying constructivist rationale has weakened, creating ...
Samir Alamad
wiley   +1 more source

Boost PFC converter based on feedforward harmonic decoupling control

Diance yu yibiao
The high penetration trend of power electronic equipment in local distribution network has led to the concentration, decentralization and wide area of harmonic sources, and the traditional point-to-point harmonic suppression is no longer applicable ...
ZHANG Rongfei, LIU Xueshan, WANG Chuntao, ZHOU Qun   +3 more
doaj   +1 more source

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

International Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang, Linzhi Tan, Haozhe Su, Jeremy Eng‐Tuck Cheah   +3 more
wiley   +1 more source

Positive hysteresis model-based feedforward control for rate-dependent hysteresis suppression in fast steering mirrors

AIP Advances
This study introduces an innovative feedforward compensation method (PF) based on a positive hysteresis model to suppress the rate-dependent hysteresis phenomenon of fast steering mirrors (FSMs).
Guanglu Hao, Kairui Cao, Zekun Li, Hairui Du, Rui Li, Qingfeng Liu, Liying Tan   +6 more
doaj   +1 more source

A Method for Improving Light Intensity Stability of a Total Reflection Prism Laser Gyro Based on Series Correction and Feedforward Compensation

IEEE Access, 2020
The instability of scale factor and null shift are closely related to the change of the light intensity of a total reflection prism laser gyro (TRPLG).
Yuanbo Tao, Sihai Li, Qiangwen Fu, Jiangtao Zheng, Shiming Liu, Yanhua Yuan   +5 more
doaj   +1 more source

Digital Sliding Mode Servo Systems with Preview Feedforward Compensation

IEEJ Transactions on Electronics, Information and Systems, 2003
AbstractA new design method of digital preview sliding mode servo system is proposed. In this method, sliding mode regulator theory is applied to an augmented error system. The equivalent control which makes the states of the error system stay on the switching surface is employed. Then, the sliding mode controller is designed.
Tadashi Sato, Tadashi Egami, Takeshi Tsuchiya   +2 more
openaire   +2 more sources

Ultrafast in‐memory computing and highly efficient deep neural networks driven by phase‐change memory materials with partially amorphous state transitions

InfoScience, EarlyView.
This work addresses challenges including the nonlinear weight‐conductance update and the trade‐off between increasing melting uniformity and reducing solid‐to‐liquid transition time. It utilizes all four melting states to create an integrated framework for attaining in‐memory computing and deep neural network applications. The framework achieves a near‐
Kian‐Guan Lim, Shao‐Xiang Go, Qiang Wang, Dong‐Gwan Kim, Chan‐Hwi Baek, Qishen Wang, Tae Hoon Lee, Desmond K. Loke   +7 more
wiley   +1 more source

ADAPTIVE CONTROL WITH FEEDFORWARD COMPENSATION AND REDUCED REFERENCE MODEL

IFAC Proceedings Volumes, 1983
Abstract Two modifications to the standard adaptive model-following control (AMFC) algorithm given in Landau (1979) are described. The first refers to the extension of the algorithm to consider measurable disturbance inputs in a feedforward adaptive fashion.
G.E. Eliçabe, G.R. Meira
openaire   +1 more source

General‐Purpose Hexagonal Programmable Photonic Integrated Circuit with a >30 GHz Free Spectral Range

Laser &Photonics Reviews, EarlyView.
A compact and low insertion loss programmable photonic circuit is demonstrated based on a 7‐cell hexagonal waveguide mesh with a large free spectral range (FSR) of 31 GHz for a 6‐gate ring resonator configuration. Vernier rings and a dual‐injected ring configuration are demonstrated on this circuit with a further improved FSR of 93 GHz.
Yu Zhang, Xiangfeng Chen, Lukas Van Iseghem, Iman Zand, Hasan Salmanian, Antonio Ribeiro, Wim Bogaerts   +6 more
wiley   +1 more source