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ESANN
2001
14 years 11 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
IJSYSC
2010
92views more  IJSYSC 2010»
14 years 8 months ago
Constrained optimal control: an application to semiactive suspension systems
This paper applies three different control techniques to the design of a quarter car semiactive suspension system. The three techniques, originally developed to solve a constrain...
Tina Paschedag, Alessandro Giua, Carla Seatzu
ENGL
2007
81views more  ENGL 2007»
14 years 10 months ago
Computational Comparisons of GPC and NGPC Schemes
—In this paper the GPC and NGPC model predictive control techniques are applied to a typical plant and compared in terms of computational efficiency. The system identification an...
D. N. Rao, M. R. K. Murthy, D. N. Harshal, S. R. M...
CODES
2008
IEEE
15 years 4 months ago
Online adaptive utilization control for real-time embedded multiprocessor systems
To provide Quality of Service (QoS) guarantees in open and unpredictable environments, the utilization control problem is defined to keep the processor utilization at the schedula...
Jianguo Yao, Xue Liu, Mingxuan Yuan, Zonghua Gu
AUTOMATICA
1999
145views more  AUTOMATICA 1999»
14 years 9 months ago
Control of systems integrating logic, dynamics, and constraints
This paper proposes a framework for modeling and controlling systems described by interdependent physical laws, logic rules, and operating constraints, denoted as mixed logical dy...
Alberto Bemporad, Manfred Morari