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AUTOMATICA
2007
111views more  AUTOMATICA 2007»
13 years 7 months ago
A stable block model predictive control with variable implementation horizon
— In this paper, we present a stable receding horizon model predictive control for discrete-time nonlinear systems. The standard MPC scheme is modified to incorporate (1) a bloc...
Jing Sun, Ilya V. Kolmanovsky, Reza Ghaemi, Shuhao...
ICARCV
2008
IEEE
151views Robotics» more  ICARCV 2008»
14 years 2 months ago
Model-Based Networked Control System stability based on packet drop distributions
Abstract—This paper studies the system stability of a ModelBased Networked Control System in the cases where packet losses follow a certain distributions. In this study, the unre...
Lanzhi Teng, Peng Wen, Wei Xiang
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
14 years 1 months ago
Nonlinear dynamics modelling for controller evolution
The problem of how to acquire a model of a physical robot, which is fit for evolution of controllers that can subsequently be used to control that robot, is considered in the con...
Julian Togelius, Renzo De Nardi, Hugo Gravato Marq...
HYBRID
1998
Springer
13 years 11 months ago
Switching Controllers Based on Neural Network: Estimates of Stability Regions and Controller Performance
This paper presents new results on switching control using neural networks. Given a set of candidate controllers, a pair of neural networks is trained to identify the stability reg...
Enrique D. Ferreira, Bruce H. Krogh
AUTOMATICA
2006
106views more  AUTOMATICA 2006»
13 years 7 months ago
Decentralized receding horizon control for large scale dynamically decoupled systems
A detailed study on the design of decentralized Receding Horizon Control (RHC) schemes for decoupled systems is presented. An optimal control problem is formulated for a set of de...
Tamás Keviczky, Francesco Borrelli, Gary J....