Sciweavers

72 search results - page 2 / 15
» Decoupled control using neural network-based sliding-mode co...
Sort
View
SMC
2007
IEEE
169views Control Systems» more  SMC 2007»
13 years 11 months ago
Simulated and experimental study of antilock braking system using grey sliding mode control
— Antilock Braking System (ABS) exhibits strongly nonlinear and uncertain characteristics. To overcome these difficulties, robust control methods should be employed. In this pap...
Yesim Oniz, Erdal Kayacan, Okyay Kaynak
TSMC
2002
119views more  TSMC 2002»
13 years 5 months ago
Nonlinear adaptive control using the Fourier integral and its application to CSTR systems
Abstract--This paper presents a new nonlinear adaptive tracking controller for a class of general time-variant nonlinear systems. The control system consists of an inner loop and a...
Huaguang Zhang, Lilong Cai
EUSFLAT
2009
184views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Recurrent Neural Kalman Filter Identification and Indirect Adaptive Control of a Continuous Stirred Tank Bioprocess
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Ieroham S. Baruch, Carlos Román Mariaca Gas...
AUTOMATICA
2005
134views more  AUTOMATICA 2005»
13 years 5 months ago
Robust output feedback regulation of minimum-phase nonlinear systems using conditional integrators
This paper is on the design of robust output feedback integral control for minimum-phase nonlinear systems with a well-defined relative degree. Previous work has shown how to desi...
Sridhar Seshagiri, Hassan K. Khalil
CDC
2009
IEEE
217views Control Systems» more  CDC 2009»
13 years 10 months ago
Anti-windup compensation for nonlinear systems via gradient projection: Application to adaptive control
— Control saturation is an important limitation in practical control systems and it is well known that performance degradation or instability may result if this limitation is not...
Justin Teo, Jonathan P. How