Symbolic Control Design for Monotone Systems with Directed Specifications
Eric S. Kim, Murat Arcak, and Sanjit A. Seshia. Symbolic Control Design for Monotone Systems with Directed Specifications. Automatica, 83:10–19, 2017.
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Abstract
We study the control of monotone systems when the objective is to maintain trajectories in a directed set (that is, either upper or lower set) within a signal space. We define the notion of a directed alternating simulation relation and show how it can be used to tackle common bottlenecks in abstraction-based controller synthesis. First, we develop sparse abstractions to speed up the controller synthesis procedure by reducing the number of transitions. Next, we enable a compositional synthesis approach by employing directed assume–guarantee contracts between systems. In a vehicle traffic network example, we synthesize an intersection signal controller while dramatically reducing runtime and memory requirements compared to previous approaches.
BibTeX
@article{kim-automatica17, author = {Eric S. Kim and Murat Arcak and Sanjit A. Seshia}, title = {Symbolic Control Design for Monotone Systems with Directed Specifications}, journal = {Automatica}, volume = {83}, pages = {10--19}, year = {2017}, abstract = {We study the control of monotone systems when the objective is to maintain trajectories in a directed set (that is, either upper or lower set) within a signal space. We define the notion of a directed alternating simulation relation and show how it can be used to tackle common bottlenecks in abstraction-based controller synthesis. First, we develop sparse abstractions to speed up the controller synthesis procedure by reducing the number of transitions. Next, we enable a compositional synthesis approach by employing directed assume–guarantee contracts between systems. In a vehicle traffic network example, we synthesize an intersection signal controller while dramatically reducing runtime and memory requirements compared to previous approaches.}, }