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CDC
2008
IEEE
131views Control Systems» more  CDC 2008»
15 years 4 months ago
Explicit model predictive control for linear parameter-varying systems
Abstract— In this paper we demonstrate how one can reformulate the MPC problem for LPV systems to a series of mpLPs by a closed-loop minimax MPC algorithm based on dynamic progra...
Thomas Besselmann, Johan Löfberg, Manfred Mor...
AUTOMATICA
2005
103views more  AUTOMATICA 2005»
14 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
RTSS
2008
IEEE
15 years 4 months ago
Task Scheduling for Control Oriented Requirements for Cyber-Physical Systems
The wide applications of cyber-physical systems (CPS) call for effective design strategies that optimize the performance of both computing units and physical plants. We study the ...
Fumin Zhang, Klementyna Szwaykowska, Wayne Wolf, V...
RTAS
2005
IEEE
15 years 3 months ago
Robust Control/Scheduling Co-Design: Application to Robot Control
Control systems running on a computer are subject to timing disturbances coming from implementation constraints. Fortunately closed-loop systems behave robustly w.r.t. modelling e...
Daniel Simon, David Robert, Olivier Sename
IROS
2009
IEEE
128views Robotics» more  IROS 2009»
15 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