- What is state space in control?
- Why is state space better than transfer function?
- Why do we need state space?
- How state space is different from other time domain and frequency domain analysis?
What is state space in control?
In control engineering, a state-space representation is a mathematical model of a physical system as a set of input, output and state variables related by first-order differential equations or difference equations.
Why is state space better than transfer function?
Advantages of State Space Techniques
It is easier to apply where Laplace transform cannot be applied. The nth order differential equation can be expressed as 'n' equation of first order. It is a time domain method. As this is time domain method, therefore this method is suitable for digital computer computation.
Why do we need state space?
In general, a state space is introduced into a system description without examining its specific physical meaning. It is known, however, that if we select a suitable state space representation, it becomes easier for us to understand or to manipulate the property of a system.
How state space is different from other time domain and frequency domain analysis?
As the transfer function approach is a frequency domain analysis thus it offers difficulty in finding the time domain solutions in case of a higher-order system. Whereas state space analysis is a time-domain approach.