ɸ(k)	: Observation vector, also named regression vector, contains inputs and outputs data of previous instants. ɸ(k)= ɸ(uk–1 , fk–1)
θ(k)	: Parameter vector θ = [θ1, θ2, …, θp] p is the number of parameters to be estimated.