BI2013 - Introduction to biomedical systems modelling

Collection of one or more elements (e.g. components, devices, processes or algorithms) that take an input signal, 𝑥(𝑡), and produce an output signal, y(𝑡).

• System

• Model

• Control system

• Mathematical model

This type of system exhibits the superposition principle.

• Linear

• Time-invariant

• Nonlinear

• Time-varying

This type of system keeps its parameters constant over time.

• Linear

• Time-invariant

• Nonlinear

• Time-varying

Even though most systems are nonlinear, linear models can be used to approximate their behaviour around an operating point.

• True

• False

Given that most systems are time-varying, time-invariant models cannot be used to approximate their behaviour.

• True

• False

Physiological systems exhibit some characteristics that increase their complexity. What are those characteristics? (Select all correct answers).

•  

  A large number of elements

•  

  A large number of interconnections

•  

  Nonlinear behaviour

• Ergodicity

The mathematical modelling process has three stages. What are those stages?

• Formulation

• Identification

• Validation

• Implementation

It is a quantitative representation of a real-life phenomenon often expressed as a set of differential equations.

• System

• Model

• Control system

• Mathematical model

Set of one or more interconnected elements designed to produce or maintain a desired response in the presence of perturbations.

• System

• Model

• Control system

• Mathematical model

This type of control system has a feedback loop containing a sensor that allows knowing the current output and its difference with the desired output.

• Open-loop

• Closed-loop

• Fuzzy

• Intelligent