02498nmm a2200301 a 4500 vtls000100081 KUKTEM 20251117113332.0 170511s2016 my fq d 000 0 eng d THE0005150(Local) 201905131736 hanafiah 201712141251 nazri 201705161128 nazri 201705111006 nazri UMP FKEE .N87 2016 r Bc. CD 10729 Nurriyah Mohd Noor Identification of hammerstain model using stochastic perturbation simultaneous approximation [electronic resource] / Nurriyah Mohd Noor Kuantan, Pahang : UMP, 2016 1 computer disc : digital data ; 12 cm. Faculty of Electrical & Electronics Engineering Project Paper (Bachelor of Electrical Engineering (Hons.) (Electronics)) -- Universiti Malaysia Pahang – 2016 This project study an identification of continuous Hammerstein based on simultaneous Perturbation Stochastic Approximation (SPSA). Furthermore, the Identification is done using MATLAB Simulink to simulate the Hammerstein Model. The structure of non-linear is assumed to be completely unknown. However, the system order assumed to be known For handling it, piecewise-linear function are used as a tool to approximate the unknown non-linear function. The SPSA algorithms was proposed to identify the problem of Hammerstein model. The main benefit of the SPSA-based method is it can be applied to identification of Hammerstein systems even though less restrictive assumptions. The SPSA based method is then used to estimate the parameters in both the linear and non-linear parts based on the given input and output data with the present of delay in time. Besides that, this project analysed the efficient of the SPSA in identify nonlinear system in term of object function and error with different noise variance. A numerical example is given to illustrate that the SPSA based algorithms can give accurate parameter estimate of the Hammerstein models with high probability through detailed simulation. Item in pdf format Faculty of Electrical & Electronics Engineering Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/25800 Access in library only 0 0 0 1 20000 20000 2019-09-04 0 FKEE .N87 2016 r Bc. | CD 10729 0000117745 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6947 6953 VTLSSORT0080*0200*0400*0900*0901*1000*2450*2600*3000*5000*5020*5200*5380*6100*6500*6501*8560*9992