Table 2. Summary of requirements, advantages and disadvanges for all methods.

T.S.	Requirements	- f ; g ; h may be non-linear with any dependency on u
		- x ; y ; f ; g ; h allow for infinite derivatives w.r.t. time/states
	Advantages	- conceptually simple
		- enhanced performance with identifiability tableaus
	Disadvantages	- unknown number of required derivatives
		- computationally demanding for low number of observable or when the initial conditions are not informative
G.S.	Requirements	- f ; g ; h may be non-linear but linear dependency on u
		- x ; y ; f ; g ; h allow for infinite derivatives w.r.t. time/states
	Advantages	- conceptually simple
		- simpler algebra and less computational cost than T.S.
		- enhanced performance with identifiability tableaus
		- software available (GenSSI)
	Disadvantages	- unknown number of required derivatives
		- computationally demanding for low number of observables or when the initial conditions are not informative
S.T.	Requirements	- linear dependence on u that must be bounded and measured
		- controllability and observability conditions
	Advantages	- software available for part of the analysis
	Disadvantages	- results in a complicated set of partial differential equations
		- computationally demanding
D.T.	Requirements	- uncontrolled systems
	Advantages	- conceptually simple
	Disadvantages	- requires complicated algebraic manipulations
		- computationally demanding
D.A.	Requirements	- f ; g ; h polynomial or rational and u differentiable
		- generic controllability
	Advantages	- software available (DAISY)
		- conclusive non-identifiability
	Disadvantages	- rational models are to be reduced to polynomial form
		- computationally demanding
		- limited performance when the number of observables is low
I.F.T.	Requirements	- f ; g ; h non-linear, differentiable and u differentiable
	Advantages	- characteristic set may be obtained with existing software
	Disadvantages	- complicated identifiability matrix
		- limited performance when the number of observables is low
I.D.R.N.	Requirements	- chemical reaction networks
		- combined with other methods
	Advantages	- analysis by groups of reaction rates
		- computationally simple
		- efficiency in combination with generating series (G.A.)
	Disadvantages	- only suitable for chemical reaction networks
		- reaction rates needed for identifiability analysis