You can force your curve fit to respect physical limits by formulating it as a constrained optimization problem using the Optimization Toolbox. Define the model coefficients as optimization variables and assign specific lower and upper bounds to each coefficient.
Conditions: Requires an optimization solver like lsqnonlin.; Objective function must be defined based on the model equation (e.g., minimizing sum of squared errors).; Physical or mathematical constraints on coefficients are known.
You can force your curve fit to respect physical limits by formulating it as a constrained optimization problem using the Optimization Toolbox. Define the model coefficients as optimization variables and assign specific lower and upper bounds to each coefficient.
Conditions: Requires an optimization solver like lsqnonlin.; Objective function must be defined based on the model equation (e.g., minimizing sum of squared errors).; Physical or mathematical constraints on coefficients are known.