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» An adaptive high-gain observer for nonlinear systems
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JDCTA
2010
155views more  JDCTA 2010»
14 years 6 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
15 years 4 months 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»
14 years 11 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»
15 years 3 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»
15 years 4 months 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...