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SOCO
2002
Springer
14 years 9 months ago
A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlin
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
Yakov Frayman, Lipo Wang
AUTOMATICA
2007
107views more  AUTOMATICA 2007»
14 years 9 months ago
Adaptive boundary control for unstable parabolic PDEs - Part II: Estimation-based designs
The certainty equivalence approach to adaptive control is commonly used with two types of identifiers: passivity-based identifiers and swapping identifiers. The “passive” (...
Andrey Smyshlyaev, Miroslav Krstic
CDC
2010
IEEE
112views Control Systems» more  CDC 2010»
14 years 4 months ago
Feedback control of the National Airspace System to mitigate weather disruptions
This paper proposes a general modeling framework adapted to the feedback control of traffic flows in Eulerian models of the National Airspace System (NAS). It is shown that the pro...
Jerome Le Ny, Hamsa Balakrishnan
CORR
2008
Springer
150views Education» more  CORR 2008»
14 years 9 months ago
Enhanced Energy-Aware Feedback Scheduling of Embedded Control Systems
Dynamic voltage scaling (DVS) is one of the most effective techniques for reducing energy consumption in embedded and real-time systems. However, traditional DVS algorithms have in...
Feng Xia, Longhua Ma, Wenhong Zhao, Youxian Sun, J...
RTS
2002
177views more  RTS 2002»
14 years 9 months ago
Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms
This paper presents a Feedback Control real-time Scheduling (FCS) framework for adaptive realtime systems. An advantage of the FCS framework is its use of feedback control theory ...
Chenyang Lu, John A. Stankovic, Sang Hyuk Son, Gan...