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» Learning nonlinear dynamic models
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96
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NPL
2008
130views more  NPL 2008»
15 years 19 days ago
Adaptive Inverse Control of Excitation System with Actuator Uncertainty
: - This paper addresses an inverse controller design for excitation system with changing parameters and nonsmooth nonlinearities in the actuator. The existence of such nonlinearit...
Xiaofang Yuan, Yaonan Wang, Liang-Hong Wu
105
Voted
ICPR
2004
IEEE
16 years 1 months ago
Kernel Autoassociator with Applications to Visual Classification
Autoassociator is an important issue in concept learning, and the learned concept of a particular class can be used to distinguish the class from the others. For nonlinear autoass...
Bailing Zhang, Haihong Zhang, Weimin Huang, Zhiyon...
CVPR
2008
IEEE
16 years 2 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
103
Voted
EAAI
2008
116views more  EAAI 2008»
15 years 22 days ago
Robust neuro-identification of nonlinear plants in electric power systems with missing sensor measurements
Fault tolerant measurements are an essential requirement for system identification, control and protection. Measurements can be corrupted or interrupted due to sensor failure, bro...
Wei Qiao, Zhi Gao, Ronald G. Harley, Ganesh K. Ven...
136
Voted
CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
14 years 7 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera