Modelling Uncertainty in Agent Programming

Author(s):  
Johan Kwisthout ◽  
Mehdi Dastani
2021 ◽  
Vol 285 ◽  
pp. 116363
Author(s):  
Iegor Riepin ◽  
Thomas Möbius ◽  
Felix Müsgens

Author(s):  
R. Kashani ◽  
S. Melkote ◽  
A. Sorgenfrei

Abstract Active vibration control of helicopter rotor blade is studied. For the purpose of illustration, we have considered only flap wise vibration of a hingeless rotor blade, and modelled it, using finite element method, by 20 beam elements. The first 12 bending modes of the system are considered in the model. A H∞ controller is designed for the plant formulated as above. The result of the numerical simulation of the closed-loop system shows that the control introduces an appreciable amount of damping in the frequency region of interest. The consideration of the modelling uncertainty in the synthesis of the controller resulted in a design which is robust stable in presence of formulated model uncertainty.


Author(s):  
Lavindra de Silva ◽  
Felipe Meneguzzi ◽  
Brian Logan

The BDI model forms the basis of much of the research on symbolic models of agency and agent-oriented software engineering. While many variants of the basic BDI model have been proposed in the literature, there has been no systematic review of research on BDI agent architectures in over 10 years. In this paper, we survey the main approaches to each component of the BDI architecture, how these have been realised in agent programming languages, and discuss the trade-offs inherent in each approach.


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