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AUTOMATICA
2008
78views more  AUTOMATICA 2008»
13 years 10 months ago
A mathematical framework for the control of piecewise-affine models of gene networks
This article introduces results on the control of gene networks, in the context of piecewise-affine models. We propose an extension of this well-documented class of models, where ...
Etienne Farcot, Jean-Luc Gouzé
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
13 years 9 months ago
Incorporating state estimation into model predictive control and its application to network traffic control
Model predictive control (MPC) is of interest because it is one of the few control design methods which preserves standard design variables and yet handles constraints. MPC is nor...
Jun Yan, Robert R. Bitmead
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
14 years 4 months ago
Stability of model predictive control based on reduced-order models
— In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback model predictive control based on reduced-order models. The design uses linear...
Svein Hovland, Christian Løvaas, Jan Tommy ...
IROS
2009
IEEE
128views Robotics» more  IROS 2009»
14 years 4 months ago
Predictive constrained gain scheduling for UGV path tracking in a networked control system
– This paper presents a predictive gain scheduler for path tracking control in a networked control system with variable delay. The controller uses the plant model to predict futu...
Bryan R. Klingenberg, Unnati Ojha, Mo-Yuen Chow
ICRA
2007
IEEE
189views Robotics» more  ICRA 2007»
14 years 4 months ago
Context Estimation and Learning Control through Latent Variable Extraction: From discrete to continuous contexts
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Georgios Petkos, Sethu Vijayakumar