SCOTS: A Tool for the Synthesis of Symbolic Controllers

SCOTS is a software tool for the automatic controller synthesis for nonlinear control systems based on symbolic models, also known as discrete abstractions. It accepts a differential equation as the description of a nonlinear control system. It uses a Lipschitz type estimate on the right-hand-side of the differential equation together with a number of discretization parameters to compute a symbolic model that is related with the original control system via a feedback refinement relation. The tool supports the computation of minimal and maximal fixed points and thus natively provides algorithms to synthesize controllers with respect to invariance and reachability specifications. The atomic propositions, which are used to formulate the specifications, are allowed to be defined in terms of finite unions and intersections of polytopes as well as ellipsoids. While the main computations are done in C++, the tool contains a Matlab interface to simulate the closed loop system and to visualize the abstract state space together with the atomic propositions.


Get the latest version of SCOTS from SCOTS gitlab repository
Usage and installation notes are found in the manual.

Tool paper

SCOTS: A Tool for the Synthesis of Symbolic Controllers
M. Rungger and M. Zamani Presented at HSCC 2016, doi: 10.1145/2883817.2883834, pdf


Please report any problems/bugs you face while installing and running SCOTS to Mahmoud Khaled.