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» Input-to-state stability of networked control systems
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ESANN
2004
13 years 10 months ago
A sliding mode controller using neural networks for robot manipulator
Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
Hajoon Lee, Dongkyung Nam, Cheol Hoon Park
CDC
2010
IEEE
126views Control Systems» more  CDC 2010»
13 years 4 months ago
Cooperative control of networked nonlinear systems
In this paper, network-based cooperative control of nonlinear dynamical systems is investigated. A theorem on cooperative stability is presented for designing nonlinear consensus a...
Zhihua Qu
ICRA
2005
IEEE
125views Robotics» more  ICRA 2005»
14 years 2 months ago
Adaptive Control of Hydraulic Systems with MML Inferred RBF Networks
— In this paper the problem of adaptively controlling a hydraulic system with uncertainties is considered. An adaptive controller is derived to control actuator force with unknow...
Daniel F. Schmidt, Andrew P. Paplinski, Gordon S. ...
HYBRID
2009
Springer
14 years 29 days ago
Specification and Analysis of Network Resource Requirements of Control Systems
We focus on control systems in which sensors send data to actuators via a bus shared with other applications. An approach is proposed for specifying and implementing dynamic schedu...
Gera Weiss, Sebastian Fischmeister, Madhukar Anand...
CDC
2009
IEEE
103views Control Systems» more  CDC 2009»
14 years 1 months ago
Networked state estimation over a Gilbert-Elliot type channel
Abstract— We characterize the stability and achievable performance of networked estimation under correlated packet losses described by the Gilbert-Elliot model. For scalar contin...
Peter Almstrom, Maben Rabi, Mikael Johansson