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110
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AUTOMATICA
2010
146views more  AUTOMATICA 2010»
15 years 18 days ago
Parameter estimation and compensation in systems with nonlinearly parameterized perturbations
We consider a class of systems influenced by perturbations that are nonlinearly parameterized by unknown constant parameters, and develop a method for estimating the unknown param...
Håvard Fjær Grip, Tor Arne Johansen, L...
ICTAI
1997
IEEE
15 years 4 months ago
Toward the Optimization of a Class of Black Box Optimization Algorithms
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...
Gang Wang, Erik D. Goodman, William F. Punch III
CIIA
2009
15 years 1 months ago
Dynamic Scheduling in Petroleum Process using Reinforcement Learning
Petroleum industry production systems are highly automatized. In this industry, all functions (e.g., planning, scheduling and maintenance) are automated and in order to remain comp...
Nassima Aissani, Bouziane Beldjilali
CN
2007
121views more  CN 2007»
15 years 14 days ago
Symbiotic rate adaptation for time sensitive elastic traffic with interactive transport
—Interactivity in the transport protocol can greatly benefit transport friendly applications generating streaming traffic. Recently we have developed iTCP, which can provide even...
Javed I. Khan, Raid Zaghal
107
Voted
CEC
2010
IEEE
15 years 1 months ago
Adaptive learning particle swarm optimizer-II for global optimization
This paper presents an updated version of the adaptive learning particle swarm optimizer (ALPSO) [6], we call it ALPSO-II. In order to improve the performance of ALPSO on multi-mod...
Changhe Li, Shengxiang Yang