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Commit 76b1008b authored by SOLIMAN Sylvain's avatar SOLIMAN Sylvain

Merge branch 'hotfix/dreal'

parents 2b239d53 77373bd6
......@@ -8,7 +8,7 @@
about/0
]).
version('4.1.8').
version('4.1.9').
copyright(
'Copyright (C) 2003-2018 Inria, EPI Lifeware, Saclay-Île de France, France'
......
......@@ -6,7 +6,7 @@
"source": [
"# Bouncing ball example \n",
"\n",
"classical example of the hybrid system community\n",
"classical example of the hybrid system community (https://github.com/dreal/dreal2/tree/master/benchmarks/hybrid_systems/bouncing_ball)\n",
"\n",
"implemented here with reactions and events"
]
......@@ -182,11 +182,11 @@
"\n",
"This is time consuming since it involves making one simulation for each parameter set\n",
"\n",
"The FO-LTL formula defines the amplitude range of x in the domain of the free variable h\n",
"The FO-LTL formula defines the height of the first bounce of x in the domain of the free variable h\n",
"\n",
"The amplitude 3.96 exceeds here the objective of 3.5, the satisfaction degree is thus greater than one showing some formula robustness \n",
"The height 3.96 exceeds here the objective of 3.5, the satisfaction degree is thus greater than one showing some formula robustness \n",
"\n",
"However the model robustness w.r.t. (default) parameter perturbations is below one (0.88) showing that some parameter perturbations destroy the amplitude objective.\n"
"However the model robustness w.r.t. (default) parameter perturbations is below one (0.88) showing that some parameter perturbations destroy the height objective.\n"
]
},
{
......@@ -280,7 +280,7 @@
"\n",
"Formula robustness can be further optimized by parameter optimization with formula robustness as objective function with no extra cost and much faster computation time than for estimating model robustness\n",
"\n",
"It gives an amplitude of 4.84 which obviously improves the satisfaction degree of the formula\n",
"It gives a height of 4.84 which obviously improves the satisfaction degree of the formula\n",
"\n",
"This is shown to also improve the model robustness (0.93) to parameter perturbations as expected in many examples"
]
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