At a press briefing yesterday, presidential spokesman Salvador Panelo said the government's plan is on track since Duterte signed into law the Philippine
System Identification Act (PhilSys Act) in August.
The topics include stochastic processes, stochastic realization theory, least squares parameter estimation, minimum prediction error identification methods, nonstationary
system identification, and linear-quadratic stochastic control.
Chaudhary and Raja [7] developed a type of fractional order the LMS (least mean square) algorithm for
system identification of Box-Jenkins problems.
To boost the campaign against criminality and terrorism, the President signed the Philippine
System Identification Act.
A day after President Rodrigo Duterte signed the law enacting the Philippine
System Identification Act (PhilSys Act) on August 6, the SWS said 73 percent of Filipinos supported the proposal of a single ID that may replace the different identification cards that they use.
Although there have been considerable effort in designing and testing new adaptive algorithms for sparse channel estimation and sparse
system identification, very few researchers [26] have considered non-stationarity along with sparsity.
The remainder of this paper is structured as follows: Section 2 presents a
system identification method.
A two-time scaled
system identification procedure presented in [7] is one of the main related works.
Modeling methods that primarily use data are classified as "
system identification" (ASHRAE 2005).
After the completion of Section 2, such requirement of nonlinear modeling is accommodated by applying the ANN-based
system identification to model the quadrotor dynamics in Section 3.
The selection of adaptive algorithm for
system identification is purely depends on many factors like computational complexity, convergence speed, maladjustment, tracking capability etc.