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    <ns1:title language="sr">Условна оптимизација дискретних система аутоматског управљања применом потпуне преносне функције</ns1:title>
    <ns2:subtitle language="sr">докторска дисертација</ns2:subtitle>
    <ns2:alt_title language="en">Conditional optimization of discrete-time control systems using the full transfer function : doctoral dissertation</ns2:alt_title>
    <ns1:language>sr</ns1:language>
    <ns1:description language="sr">U okviru doktorske disertacije istrauje se sinteza upravǉaqkog sistemaproporcionalno-diferencno-sumarnog (PDS) tipa na osnovu karakteristiqnogpolinoma potpune prenosne funkcije. Potpuna prenosna funkcija omoguava dase dobiju taqni rezultati u pogledu skraivaǌa jednakih nula i polova, do-bijaǌa karakteristiqnog polinoma i odreivaǌa potpunog odziva sistema. Napoqetku se odreuje oblast relativne stabilnosti u prostoru podexǉivih para-metara upravǉaqkog sistema tako da stepen priguxeǌa ζ ima unapred zahtevanuvrednost. To je uraeno u sluqaju dva podexǉiva parametra na primerima PDi PS upravǉaqkih sistema. Osim toga, pronaena je oblast relativne stabilno-sti u sluqaju tri podexǉiva parametra PDS upravǉaqkog sistema. U narednomkoraku se sprovodi metoda uslovne optimizacije pri qemu se koristi izraz zagrexku izlazne veliqine koji uzima u obzir istovremeno dejstvo nenultih poqe-tnih uslova i spoǉaxǌeg ulaza, a xto je omogueno primenom potpune prenosnefunkcije. Na taj naqin se pronalaze optimalni parametri linearnih upravǉa-qkih sistema PDS tipa za koje indeks performanse, u obliku sume kvadrata gre-xaka, ima minimalnu vrednost.U drugom delu disertacije prethodno razvijena metoda uslovne optimizacijelinearnih diskretnih sistema se proxiruje i primeǌuje na klasu nelinearnihdiskretnih sistema, u obliku Takagi-Sugeno (TS) fazi sistema. U tu svrhuje iskorixena osobina TS fazi sistema da se dinamika nelinearnog sistemamoe izraziti pomou nekoliko linearnih (linearizovanih) sistema. Neline-arni Takagi-Sugeno fazi model, koji verodostojno opisuje ponaxaǌe sistema nacelom prostoru izlaza, se dobija interpolacijom nekoliko linearnih matemati-qkih modela. Izvrxena je sinteza upravǉaqkog sistema tipa paralelno raspode-ǉenog upravǉaǌa (PDC) koji koristi iste funkcije pripadnosti kao i nelinearniTakagi-Sugeno model objekta. Ovakav upravǉaqki sistem interpolira nekolikolokalnih linearnih upravǉaqkih sistema. Zahvaǉujui teoriji potpune preno-sne funkcije, razmatra se najopxtiji i najrealistiqniji sluqaj uslovne opti-mizacije lokalnih linearnih upravǉaqkih sistema, pri qemu je grexka rezultatistovremenog delovaǌa nenultih poqetnih uslova i spoǉaxǌeg ulaza. Odreenisu optimalni parametri za tri linearna proporcionalno-sumarna (PS) kontro-lera pri nultim i nenultim poqetnim uslovima, uvaavajui zahtev da svi po-jedinaqni zatvoreni sistemi imaju zahtevani stepen priguxeǌa ζ. Uraena jesinteza PDC kontrolera koji koristi iste funkcije pripadnosti kao i fazi TSmodel objekta, u dva sluqaja. U prvom sluqaju, PDC kontroler je sastavǉen odtri lokalna linearna PS kontrolera qiji su parametri odreeni pri nultimpoqetnim uslovima. U drugom sluqaju, PDC kontroler qine linearni kontroleriqiji su parametri odreeni pri nenultim poqetnim uslovima.</ns1:description>
    <ns1:description language="en">The doctoral dissertation investigates the synthesis of a proportional-difference-sum (PDS)type control system based on the characteristic polynomial of the full transfer function. The fulltransfer function makes it possible to obtain accurate results in terms of cancellation of equalzeros and poles, obtaining the characteristic polynomial and determining the full response ofthe system. At the beginning, the relative stability area in the space of adjustable parametersof the control system is determined so that damping coefficient ζ has the value required inadvance. This was done in the case of two adjustable parameters using the examples of PDand PS control systems. In addition, an area of relative stability was found in the case ofthree adjustable parameters of the PDS control system. In the next step, the method ofconditional optimization is implemented using an expression for the output error that includesthe simultaneous influence of nonzero initial conditions and the external output, which is madepossible by applying a full transfer function. Thus, the optimal parameters of the PDS typelinear control systems are found for which the performance index, in the form of the sum ofsquared errors, has a minimum value.In the second part of the dissertation, the previously developed method of conditionaloptimization of linear discrete systems is extended and applied to the class of nonlinear discretesystems, in the form of Takagi-Sugeno (TS) fuzzy systems. For this purpose, the property ofthe TS fuzzy system was used that the dynamics of a nonlinear system can be expressed usingseveral linear (linearized) systems. The nonlinear Takagi-Sugeno fuzzy model, which crediblydescribes the behavior of the system over the entire output space, is obtained by interpolatingseveral linear mathematical models. A synthesis of a PDC (parallel distributed compensation)control system using the same membership functions as the nonlinear Takagi-Sugeno fuzzymodel of the plant was performed. Such control system interpolates several local linear controlsystems. Thanks to the theory of the complete transfer function, the most general and realisticcase of conditional optimization of the local linear control systems is considered, where theoutput error is the result of the simultaneous action of nonzero initial conditions and externalinput. The optimal parameters for three local linear proportional-sum (PS) controllers at zeroand nonzero initial conditions were determined, considering the requirement that all individualclosed systems have the required damping coefficient ζ. Synthesis of a PDC controller that usesthe same membership functions as the fuzzy TS plant model is made in two cases. In the firstcase, the PDC controller is composed of three local linear PS controllers whose parameters aredetermined at zero initial conditions. In the second case, the PDC controller consists of linearcontrollers whose parameters are determined at nonzero initial conditions.</ns1:description>
    <ns1:description language="sr">Mašinstvo -Automatsko upravǉaǌe /Mechanical engineering - Control engineering  Datum odbrane: 24.01.2023. </ns1:description>
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    <ns1:keyword language="en">Discrete-time control systems, three parameters synthesis, relative stability, full transfer function, conditional stabilization and optimization, Takagi-Sugeno, fuzzy control, parallel distributed compensation</ns1:keyword>
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