Mohd Azman, Su Noorazma (2018) Filter And Observer Design For Polynomial DiscreteTime Systems: A Sum Of Squares Based Approach. Masters thesis, UTeM.
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Abstract
The polynomial discretetime systems are the type of systems where the dynamics of the systems are described in polynomial forms.This system is classified as an important class of nonlinear systems due to the fact that many nonlinear systems can be modelled as,transformed into,or approximated by polynomial systems.The focus of this thesis is to address the problem of filter and observer design for polynomial discretetime systems.The main reason for focusing on this area is because the filter and observer design for such polynomial discretetime systems is categorised as a difficult problem.This is due to the fact that the relation between the Lyapunov matrix and the filter and observer gain is not jointly convex when the parameterdependent or statedependent Lyapunov function is under consideration.Therefore the problem cannot possibly be solved via semidefinite programming (SDP).In light of the aforementioned problem, we establish novel methodologies of designing filters for estimating the state of the systems both with and without H∞ performance and also designing an observer for state estimation and also as a controller.We show that through our proposed methodologies,a less conservative design procedure can be rendered for the filter and observer design.In particular,a socalled integrator method is proposed in this research work where an integrator is incorporated into the filter and observer structures.In doing so, the original systems can be transformed into augmented systems.Furthermore,the statedependent function is selected in a way that its matrix is dependent only upon the original system state.Through this selection,a convex solution to the filter and observer design can be obtained efficiently.The existence of such filter and observer are given in terms of the solvability of polynomial matrix inequalities (PMIs).The problem is then formulated as sum of squares (SOS) constraints,therefore it can be solved by any SOS solvers.In this research work,SOSTOOLS is used as a SOS solver.Finally,to demonstrate the effectiveness and advantages of the proposed design methodologies in this thesis,numerical examples are given in filter design system.The simulation results show that the proposed design methodologies can estimate and stabilise the systems and achieve the prescribed performance requirements.
Item Type:  Thesis (Masters) 

Uncontrolled Keywords:  Nonlinear systems, Control theory, Polynomial DiscreteTime Systems 
Subjects:  Q Science > Q Science (General) Q Science > QA Mathematics > QA75 Electronic computers. Computer science 
Divisions:  Library > Tesis > FKEKK 
Depositing User:  Mohd. Nazir Taib 
Date Deposited:  23 Aug 2019 02:33 
Last Modified:  21 Feb 2022 10:35 
URI:  http://eprints.utem.edu.my/id/eprint/23293 
Statistic Details:  View Download Statistic 
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