The correct answer is:
(b) Second differentiation of the function must be positive
Explanation:
In optimal control problems, minimizing a transfer function often involves finding the condition for a minimum by analyzing the second derivative of the cost function or objective function. The key principle in optimization is that:
- If the second derivative of a function is positive, the function is concave up, indicating a minimum.
- If the second derivative is negative, the function is concave down, indicating a maximum.
- If the second derivative is zero, further analysis is needed to determine whether it is a maximum, minimum, or saddle point.
Thus, for minimizing a function, the condition is that the second derivative must be positive, confirming the presence of a local minimum.