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--- eeros_architecture:control_system:available_blocks:generic [2025/08/08 15:35] – ursgraf
+++ eeros_architecture:control_system:available_blocks:generic [2025/08/08 15:37] (current) – ursgraf
@@ Line 15: / Line 15: @@
 Such an algorithm could theoretically calculate any output from a given set of inputs. Choose this method when the algorithm is simple and one wants to avoid using several other blocks doing a simple algorithm, e.g. adding a offset and scale to a signal as given in the example above.
-How could this be solved with predefined block from  It can be especially valuable for cases like the following. A signal value must be applied with an offset and a scale. How to achieve this?
+How could this be solved with predefined block from [[eeros_architecture:control_system:available_blocks|]]?
-  - Use a constant block delivering the offset together with a sum block which adds the offset to the signal. Finally, a gain block applies the desired scale. All in all, you will use three different blocks.
+Use a constant block delivering the offset together with a sum block which adds the offset to the signal. Finally, a gain block applies the desired scale. All in all, you will use three different blocks.
-  - Use a generic block and define the necessary algorithm as follows <code cpp>GenericBlock<> gen([&]() {
-  gen.getOut(0).getSignal().setValue(gen.getIn(0).getSignal().getValue() + 0.1) * 1.1);
-  gen.getOut(0).getSignal().setTimestamp(gen.getIn(0).getSignal().getTimestamp());
-})</code>
-Such a generic block can save valuable execution time in reducing the number of necessary blocks. It can also be useful when a given algorithm cannot be stitched together from predefined blocks.
+Using a basic block with a lambda function as given in the example above saves valuable execution time in reducing the number of necessary blocks. It can also be useful when a given algorithm cannot be stitched together from predefined blocks.