DocumentCode :
1933799
Title :
Cross-layer learning in an evolvable oscillator for in-flight controller adaptation in a flapping-wing micro air vehicle
Author :
Gallagher, John C. ; Oppenheimer, Michael W.
Author_Institution :
Dept. of Comput. Eng. & Sci., Wright State Univ., Dayton, OH, USA
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
1547
Lastpage :
1551
Abstract :
Electronic components are conventionally viewed as black boxes whose only responsibility is to implement interfaces requested and required by designers operating at a higher level of abstraction. This is especially true in the design of controllers where control laws are designed at at high level of abstraction and electronics are used to merely instantiate components of the law´s block diagram. In this paper, we consider the use of block components that adapt their internal structures to optimize whole-system behavior using information scoped in multiple layers of abstraction of the whole design. The goal is to provide extended adaptability of the host system while still allowing high-level designers to treat their control design process conventionally.
Keywords :
aerospace control; aerospace robotics; control system synthesis; learning systems; microrobots; mobile robots; optimal control; abstraction layer; black box; block components; control law block diagram; control law design; cross-layer learning; electronic components; evolvable oscillator; flapping-wing micro air vehicle; high-level design; host system adaptability; in-flight controller adaptation; internal structure adaptation; whole-system behavior optimization; Aerodynamics; Force; Hardware; Insects; Oscillators; Vehicle dynamics; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4673-0321-7
Type :
conf
DOI :
10.1109/ACSSC.2011.6190278
Filename :
6190278
Link To Document :
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