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» Robust adaptive control of uncertain discrete-time systems
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IJCNN
2008
IEEE
15 years 6 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»
15 years 4 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
97
Voted
GECCO
2010
Springer
165views Optimization» more  GECCO 2010»
15 years 1 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
14 years 11 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»
14 years 6 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