8.14.2. Adaptive Actuator Control

Try these first

1. 1.

   What is adaptive control?

   Hint

   Think about how adjustments are made in response to feedback.

2. 2.

   Define reinforcement learning.

   Hint

   Consider how rewards influence learning.

3. 3.

   What is the purpose of adaptive control?

   • To ignore feedback
   • To adjust parameters in real-time
   • To decrease efficiency

   Hint

   Think about how real-time adjustments can improve responses.

4. 4.

   True or False: Reinforcement learning only works when there are known outcomes.

   • True
   • False

   Hint

   Consider how trial and error learning operates.

5. 5.

   Design a scenario where reinforcement learning could optimize a robot's performance during excavation. Describe the learning process and expected outcomes.

   Hint

   Think about the rewards given for successful actions.

6. 6.

   Discuss how fuzzy logic can be applied in an autonomous vehicle's navigation system where environmental data is often imprecise. Provide an example.

   Hint

   Consider how conventional programming might fail under unclear conditions.