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Nonlinear Control of Complex Systems by Utilization of Evolutionary Approaches
Minář, Petr ; Ošmera, Pavel (referee) ; Oplatková,, Zuzana Komínková (referee) ; Matoušek, Radomil (advisor)
Control theory of complex systems by utilization of artificial intelligent algorithms is relatively new science field and it can be used in many areas of technical practise. Best known algorithms to solved similar tasks are genetic algorithm, differential evolution, HC12 Nelder-Mead method, fuzzy logic and grammatical evolution. Complex solution is presented at selected examples from mathematical nonlinear systems to examples of anthems design and stabilization of deterministic chaos. The goal of this thesis is present examples of implementation and utilization of artificial algorithms by multi-objective optimization. To achieve optimal results is used designed software solution by multi-platform application, which used Matlab and Java interfaces. The software solution integrate every algorithms of this thesis to complex solution and it extends possible application of those approaches to real systems and practical world.
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Periodic problem for the Duffing equation
Asante, Michael Onwona ; Řehák, Pavel (referee) ; Šremr, Jiří (advisor)
Při matematickém modelování fyzikálních systémů se používají obyčejné diferenciální rovnice různých tvarů. Diferenciální rovnice popisující tyto systémy jsou často složité nelineární rovnice, avšak pomocí vhodných aproximací nelinearity lze odvodit jednoduché rovnice zvané Duffingovy rovnice, které lze analyticky studovat. V matematickém modelování mechaniky problém hledání periodických řešení těchto Duffingových rovnic úzce souvisí s existencí periodických vibrací jeho odpovídajícího nelineárního oscilátoru. V této práci je provedena analýza řešení a existence řešení v autonomních a neautonomních případech uvažované Duffingovy rovnice s podporou simulací v MATLAB.
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Analýza Duffingova oscilátoru
Sosna, Petr ; Hadraba, Petr (referee) ; Rubeš, Ondřej (advisor)
This thesis analyses the simplest model of nonlinear oscillations, the Duffing oscillator. Methods of nonlinear dynamics are used for analysis of the Duffing equation which describes such oscillations. Numerical solution focuses on the dynamics of twin-well potencial oscillations. The effect of all the parameters of the Duffing equation on the system is shown. Coexisting periodic and chaotic attractors are discussed as well as possible bifurcations of the system. A bifurcation diagram for a specific system is created. The thesis concludes with simulation of basins of attraction for different values of excitation force and frequency.
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Periodic problem for the Duffing equation
Asante, Michael Onwona ; Řehák, Pavel (referee) ; Šremr, Jiří (advisor)
Při matematickém modelování fyzikálních systémů se používají obyčejné diferenciální rovnice různých tvarů. Diferenciální rovnice popisující tyto systémy jsou často složité nelineární rovnice, avšak pomocí vhodných aproximací nelinearity lze odvodit jednoduché rovnice zvané Duffingovy rovnice, které lze analyticky studovat. V matematickém modelování mechaniky problém hledání periodických řešení těchto Duffingových rovnic úzce souvisí s existencí periodických vibrací jeho odpovídajícího nelineárního oscilátoru. V této práci je provedena analýza řešení a existence řešení v autonomních a neautonomních případech uvažované Duffingovy rovnice s podporou simulací v MATLAB.
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Analýza Duffingova oscilátoru
Sosna, Petr ; Hadraba, Petr (referee) ; Rubeš, Ondřej (advisor)
This thesis analyses the simplest model of nonlinear oscillations, the Duffing oscillator. Methods of nonlinear dynamics are used for analysis of the Duffing equation which describes such oscillations. Numerical solution focuses on the dynamics of twin-well potencial oscillations. The effect of all the parameters of the Duffing equation on the system is shown. Coexisting periodic and chaotic attractors are discussed as well as possible bifurcations of the system. A bifurcation diagram for a specific system is created. The thesis concludes with simulation of basins of attraction for different values of excitation force and frequency.
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Nonlinear Control of Complex Systems by Utilization of Evolutionary Approaches
Minář, Petr ; Ošmera, Pavel (referee) ; Oplatková,, Zuzana Komínková (referee) ; Matoušek, Radomil (advisor)
Control theory of complex systems by utilization of artificial intelligent algorithms is relatively new science field and it can be used in many areas of technical practise. Best known algorithms to solved similar tasks are genetic algorithm, differential evolution, HC12 Nelder-Mead method, fuzzy logic and grammatical evolution. Complex solution is presented at selected examples from mathematical nonlinear systems to examples of anthems design and stabilization of deterministic chaos. The goal of this thesis is present examples of implementation and utilization of artificial algorithms by multi-objective optimization. To achieve optimal results is used designed software solution by multi-platform application, which used Matlab and Java interfaces. The software solution integrate every algorithms of this thesis to complex solution and it extends possible application of those approaches to real systems and practical world.
|
|
|
Nonlinear Control of Complex Systems by utilization of Evolutionary Approaches
Minář, Petr ; Matoušek, Radomil (advisor)
Control theory of complex systems by utilization of artificial intelligent algorithms is relatively new science field and it can be used in many areas of technical practise. Best known algorithms to solved similar tasks are genetic algorithm, differential evolution, HC12 Nelder-Mead method, fuzzy logic and grammatical evolution. Complex solution is presented at selected examples from mathematical nonlinear systems to examples of anthems design and stabilization of deterministic chaos. The goal of this thesis is present examples of implementation and utilization of artificial algorithms by multi-objective optimization. To achieve optimal results is used designed software solution by multi-platform application, which used Matlab and Java interfaces. The software solution integrate every algorithms of this thesis to complex solution and it extends possible application of those approaches to real systems and practical world.
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