Results 221 to 230 of about 98,441 (260)

Cascaded nonlinear predictive control of induction motor

Proceedings of the 2000. IEEE International Conference on Control Applications. Conference Proceedings (Cat. No.00CH37162), 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ramdane Hedjar, Redouane Toumi, Patrick Boucher, Didier Dumur   +3 more
openaire   +2 more sources

Cascading outbreak prediction in networks

Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, 2013
Cascades are ubiquitous in various network environments such as epidemic networks, traffic networks, water distribution networks and social networks. The outbreaks of cascades will often bring bad or even devastating effects. How to accurately predict the cascading outbreaks in early stage is of paramount importance for people to avoid these bad ...
Peng Cui 0001, Shifei Jin, Linyun Yu, Fei Wang 0001, Wenwu Zhu 0001, Shiqiang Yang   +5 more
openaire   +1 more source

CPNSA: Cascade Prediction with Network Structure Attention

2021
Online social medias provide convenient platforms for information spread, which makes the social network structure plays important role on online information spread. Although online social network structure can be obtained easily, few researches use network structure information in the cascade of the resharing prediction task. In this paper, we propose
Chaochao Liu, Wenjun Wang 0002, Pengfei Jiao, Yueheng Sun, Xiaoming Li 0006, Xue Chen 0005   +5 more
openaire   +1 more source

Channel Prediction with Cascade AR Modeling

Advanced Int'l Conference on Telecommunications and Int'l Conference on Internet and Web Applications and Services (AICT-ICIW'06), 2006
Cascade autoregressive (AR) model with three parameters for any channel prediction order p is investigated. Although higher order AR model is better to get more precise future channel prediction profile, as the order of channel prediction goes higher, the number of channel prediction parameters we have to know is increased.
openaire   +2 more sources

Linear prediction in cascade form

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1978
The autocorrelation and covariance methods of linear prediction are formulated in terms of an inverse digital filter in cascade form, rather than the traditional direct form, to allow pole locations in the system model to be readily estimated and constrained. Iterative solution of the corresponding nonlinear normal equations is described.
Jackson, Leland B., Wood, Steven L.
openaire   +3 more sources

Design of multivariable predictive cascade

Computers & Chemical Engineering, 1999
Abstract Detailed design of multivariable predictive cascade is presented in this paper. Modifications of the usual predictive algorithm which are appropriate to take the largest profit from the advanced structure are proposed. Moreover, criteria for the choice of multiple secondary measurements are developed.
Daniele Semino, Sarita Porcari
openaire   +1 more source

Blog cascade affinity

Proceedings of the 18th ACM conference on Information and knowledge management, 2009
Information propagation within the blogosphere is of much importance in implementing policies, marketing research, launching new products, and other applications. In this paper, we take a microscopic view of the information propagation pattern in blogosphere by investigating blog cascade affinity.
Hui Li 0005, Sourav S. Bhowmick, Aixin Sun   +2 more
openaire   +2 more sources

Cascaded model predictive control of a quadrotor UAV

2013 Australian Control Conference, 2013
When using a linear controller for controlling a non-linear system, the controller is most effective when the system is working near the operating conditions. This paper proposes a model predictive controller with cascaded structure, which has the ability to maintain the state variables within the vicinity of a given operating condition by imposing ...
Xi Chen, Liuping Wang
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Parameters Automatic Design of Predictive Cascaded Controllers

IFAC Proceedings Volumes, 1992
Abstract Generalized Predictive control methods are now used as performant control laws in a lot of applications, providing good results in term of rapidity, disturbances and errors cancellations. But even if the polynomial version of G.P.C. enables to observe in frequential domains the stability of the resulting controlled system, there is up to now
P. Boucher, D. Dumur, S. Daumüller
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Affinity-driven blog cascade analysis and prediction

Data Mining and Knowledge Discovery, 2013
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hui Li 0005, Sourav S. Bhowmick, Aixin Sun, Jiangtao Cui   +3 more
openaire   +4 more sources