Difference between revisions of "Layering assume-guarantee contracts for hierarchical system design"

From MurrayWiki
Jump to: navigation, search
 
Line 2: Line 2:
 
|Title=Layering assume-guarantee contracts for hierarchical system design
 
|Title=Layering assume-guarantee contracts for hierarchical system design
 
|Authors=Ioannis Filippidis and Richard M. Murray
 
|Authors=Ioannis Filippidis and Richard M. Murray
|Source=To appear, <i>Proceedings of the IEEE</i>, 2018
+
|Source=<i>Proceedings of the IEEE</i>, 2018
 
|Abstract=Specifications for complex engineering systems are typically decomposed into specifications for individual subsystems in a manner that ensures they are implementable and simpler to develop further. We describe a method to algorithmically construct component specifications that implement a given specification when assembled. By eliminating variables that are irrelevant to realizability of each component, we simplify the specifications and reduce the amount of information necessary for operation. We parametrize the information flow between components by introducing parameters that select whether each variable is visible to a component or not. The decomposition algorithm identifies which variables can be hidden while pre- serving realizability and ensuring correct composition, and these are eliminated from component specifications by quantification and conversion of binary decision diagrams to formulas. The resulting specifications describe component viewpoints with full information with respect to the remaining variables, which is essential for tractable algorithmic synthesis of implementations. The specifications are written in TLA+, with liveness properties restricted to an implication of conjoined recurrence properties, known as GR(1). We define an operator for forming open systems from closed systems, based on a variant of the “while-plus” operator. This operator simplifies the writing of specifications that are realizable without being vacuous. To convert the generated specifications from binary decision diagrams to readable formulas over integer variables, we symbolically solve a minimal covering problem. We show with examples how the method can be applied to obtain contracts that formalize the hierarchical structure of system design.
 
|Abstract=Specifications for complex engineering systems are typically decomposed into specifications for individual subsystems in a manner that ensures they are implementable and simpler to develop further. We describe a method to algorithmically construct component specifications that implement a given specification when assembled. By eliminating variables that are irrelevant to realizability of each component, we simplify the specifications and reduce the amount of information necessary for operation. We parametrize the information flow between components by introducing parameters that select whether each variable is visible to a component or not. The decomposition algorithm identifies which variables can be hidden while pre- serving realizability and ensuring correct composition, and these are eliminated from component specifications by quantification and conversion of binary decision diagrams to formulas. The resulting specifications describe component viewpoints with full information with respect to the remaining variables, which is essential for tractable algorithmic synthesis of implementations. The specifications are written in TLA+, with liveness properties restricted to an implication of conjoined recurrence properties, known as GR(1). We define an operator for forming open systems from closed systems, based on a variant of the “while-plus” operator. This operator simplifies the writing of specifications that are realizable without being vacuous. To convert the generated specifications from binary decision diagrams to readable formulas over integer variables, we symbolically solve a minimal covering problem. We show with examples how the method can be applied to obtain contracts that formalize the hierarchical structure of system design.
 
|URL=http://www.cds.caltech.edu/~murray/preprints/fm18-pieee.pdf
 
|URL=http://www.cds.caltech.edu/~murray/preprints/fm18-pieee.pdf
Line 9: Line 9:
 
|Tag=fm18-pieee
 
|Tag=fm18-pieee
 
|Funding=SRC TerraSwarm
 
|Funding=SRC TerraSwarm
 +
|Flags=NCS
 
}}
 
}}

Latest revision as of 20:15, 8 June 2019

Title Layering assume-guarantee contracts for hierarchical system design
Authors Ioannis Filippidis and Richard M. Murray
Source Proceedings of the IEEE, 2018
Abstract Specifications for complex engineering systems are typically decomposed into specifications for individual subsystems in a manner that ensures they are implementable and simpler to develop further. We describe a method to algorithmically construct component specifications that implement a given specification when assembled. By eliminating variables that are irrelevant to realizability of each component, we simplify the specifications and reduce the amount of information necessary for operation. We parametrize the information flow between components by introducing parameters that select whether each variable is visible to a component or not. The decomposition algorithm identifies which variables can be hidden while pre- serving realizability and ensuring correct composition, and these are eliminated from component specifications by quantification and conversion of binary decision diagrams to formulas. The resulting specifications describe component viewpoints with full information with respect to the remaining variables, which is essential for tractable algorithmic synthesis of implementations. The specifications are written in TLA+, with liveness properties restricted to an implication of conjoined recurrence properties, known as GR(1). We define an operator for forming open systems from closed systems, based on a variant of the “while-plus” operator. This operator simplifies the writing of specifications that are realizable without being vacuous. To convert the generated specifications from binary decision diagrams to readable formulas over integer variables, we symbolically solve a minimal covering problem. We show with examples how the method can be applied to obtain contracts that formalize the hierarchical structure of system design.
Type Journal paper
URL http://www.cds.caltech.edu/~murray/preprints/fm18-pieee.pdf
Tag fm18-pieee
ID 2017h
Funding SRC TerraSwarm
Flags NCS