Adaptive autopilot design via model expansion method

1989 ◽  
Vol 12 (4) ◽  
pp. 439-449
Author(s):  
Chuan‐Ch'u Ding ◽  
Yuan‐Shiuan Liao ◽  
Di Chiu
Author(s):  
Tsung Lee ◽  
Jhih-Syan Hou

In this chapter, the authors introduce a model expansion method that is used in a new methodology of model composition and evolution for broad design domains. In the methodology, hierarchical model compositional relationships are captured in a model composition graph (MCG) as a schema of designs. An MCG schema can be used as a blueprint for systematic and flexible evolution of designs with three hierarchical model refinement operations: expansion, synthesis, and configuration. In this methodology, due to the need of hierarchical sharing in software and hardware domains, the authors designed an algorithm to achieve conditional and recursive model expansion with hierarchical model instance sharing that is not achievable in other expansion methods. Hierarchical model instance sharing complicates the design structure from tree structures to graph structures. The model expansion algorithm was thus designed with enhanced features of maintenance of MCG instance consistency, path-based search of shared submodel instances, and dependency preserving expansion ordering. The expansion specification and the expansion process are integrated with the MCG-based methodology. Model parameters set by designers and other refinement operations can be used to guide each expansion step of design models iteratively.


Optik ◽  
2020 ◽  
Vol 211 ◽  
pp. 164564 ◽  
Author(s):  
Naila Sajid ◽  
Ghazala Akram

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