Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In order to facilitate automated reasoning about large Boolean combinations of non-linear arithmetic constraints involving ordinary differential equations (ODEs),  provide a seamless integration of safe numeric overapproximation of initial-value problems into a SAT-modulo-theory (SMT) approach to interval-based arithmetic constraint solving. Interval-based safe numeric approximation of ODEs is used as an interval contractor being able to narrow candidate sets in phase space in both temporal directions: post-images of ODEs (i.e., sets of states reachable from a set of initial values) are narrod based on partial information about the initial values and, vice versa, pre-images are narrod based on partial knowledge about post-sets.#R##N##R##N#In contrast to the related CLP(F) approach of Hickey and Wittenberg [12],  do (a) support coordinate transformations mitigating the wrapping effect encountered upon iterating interval-based overapproximations of reachable state sets and (b) embed the approach into an SMT framework, thus accelerating the solving process through the algorithmic enhancements of recent SAT solving technology.
['Andreas Eggers', 'Martin Fränzle', 'Christian Herde']
I am writing a research paper on a idea SAT Modulo ODE: A Direct SAT Approach to Hybrid Systems
[{"from": "human", "value": "I am writing a research paper on a idea SAT Modulo ODE: A Direct SAT Approach to Hybrid Systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In order to facilitate automated reasoning about large Boolean combinations of non-linear arithmetic constraints involving ordinary differential equations (ODEs),  provide a seamless integration of safe numeric overapproximation of initial-value problems into a SAT-modulo-theory (SMT) approach to interval-based arithmetic constraint solving. Interval-based safe numeric approximation of ODEs is used as an interval contractor being able to narrow candidate sets in phase space in both temporal directions: post-images of ODEs (i.e., sets of states reachable from a set of initial values) are narrod based on partial information about the initial values and, vice versa, pre-images are narrod based on partial knowledge about post-sets.#R##N##R##N#In contrast to the related CLP(F) approach of Hickey and Wittenberg [12],  do (a) support coordinate transformations mitigating the wrapping effect encountered upon iterating interval-based overapproximations of reachable state sets and (b) embed the approach into an SMT framework, thus accelerating the solving process through the algorithmic enhancements of recent SAT solving technology."}]