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» Robust adaptive control of uncertain discrete-time systems
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IJCNN
2008
IEEE
14 years 3 months ago
Robust adaptive control via neural linearization and four types of compensation
— In this paper, we propose a new type of neural adaptive control via dynamic neural networks. For a class of unknown nonlinear systems, a neural identifierFbased feedback linea...
Wen Yu, Xiaoou Li
CDC
2009
IEEE
151views Control Systems» more  CDC 2009»
14 years 1 months ago
Shortest path optimization under limited information
— The problem of finding an optimal path in an uncertain graph arises in numerous applications, including network routing, path-planning for vehicles, and the control of finite...
Michael Rinehart, Munther A. Dahleh
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
13 years 10 months ago
Evolving robust controller parameters using covariance matrix adaptation
In this paper, the advantages of introducing an additional amount of tests when evolving parameters for specific purposes is discussed. A set of optimal PID-controller parameters...
Gerulf K. M. Pedersen, Martin V. Butz
SOCO
2002
Springer
13 years 8 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
CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
13 years 3 months ago
On the robustness of sampled-data systems to uncertainty in continuous-time delays
Abstract--In this note, we consider the robust stability of sampleddata systems with respect to continuous-time delay. We argue that many results in the literature implicitly assum...
Igal Alterman, Leonid Mirkin