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» An adaptive high-gain observer for nonlinear systems
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JDCTA
2010
155views more  JDCTA 2010»
13 years 2 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao
ESSMAC
2003
Springer
14 years 20 days ago
Self-tuning Control of Non-linear Systems Using Gaussian Process Prior Models
Gaussian Process prior models, as used in Bayesian non-parametric statistical models methodology are applied to implement a nonlinear adaptive control law. The expected value of a...
Daniel Sbarbaro, Roderick Murray-Smith
AUTOMATICA
2010
146views more  AUTOMATICA 2010»
13 years 7 months ago
Parameter estimation and compensation in systems with nonlinearly parameterized perturbations
We consider a class of systems influenced by perturbations that are nonlinearly parameterized by unknown constant parameters, and develop a method for estimating the unknown param...
Håvard Fjær Grip, Tor Arne Johansen, L...
CDC
2009
IEEE
156views Control Systems» more  CDC 2009»
13 years 10 months ago
An optimization approach to adaptive Kalman filtering
— In this paper, an optimization-based adaptive Kalman filtering method is proposed. The method produces an estimate of the process noise covariance matrix Q by solving an optim...
Maja Karasalo, Xiaoming Hu
CDC
2009
IEEE
160views Control Systems» more  CDC 2009»
14 years 4 days ago
Adaptive control for parametric output feedback systems with output constraint
— In this paper, adaptive control is presented for a class of parametric output feedback nonlinear systems with output constraint. Adaptive observer backstepping is adopted to ac...
Beibei Ren, Shuzhi Sam Ge, Keng Peng Tee, Tong Hen...