added one more size to temp.control benchmark

core/model_definitions.py

@@ -407,7 +407,7 @@ class building_1room(master.LTI_master):
         master.LTI_master.__init__(self)
         
         # Let the user make a choice for the model dimension
-        _, self.scenario  = ui.user_choice('Select the model size to run',['Small','Medium','Large','Very large'])
+        _, self.scenario  = ui.user_choice('Select the model size to run',['15x25','25x35','35x45','50x70','100x140'])
         
         # Number of time steps to lump together (can be used to make the model
         # fully actuated)

core/spec_definitions.py

@@ -161,6 +161,13 @@ class building_1room_spec(master.spec_master):
                 'default': np.array([[-.05, .05], [-.15, .15]]),
                 }
             
+        elif scenario == 3:
+            self.partition['number']  = [100, 140]
+            
+            self.error['max_control_error'] = {
+                'default': np.array([[-.03, .03], [-.1, .1]]),
+                }
+            
         width = (self.partition['boundary'][:,1] - self.partition['boundary'][:,0]) / self.partition['number']
         
         # Actions per dimension (if 'auto', equal to nr of regions)