Národní úložiště šedé literatury Nalezeno 6 záznamů.  Hledání trvalo 0.01 vteřin. 
Optimization of Linear Differential Systems with a Delay by Lyapunov's Direct Method
Demchenko, Hanna
Using Lyapunov’s direct method, control functions minimizing quality criteria are constructed and an illustrative example is given.
Optimization of Delayed Differential Systems by Lyapunov's Direct Method
Demchenko, Hanna ; Růžičková, Miroslava (oponent) ; Shatyrko,, Andriy (oponent) ; Diblík, Josef (vedoucí práce)
The present thesis deals with processes controlled by systems of delayed differential equations $$x'(t) =f(t,x_t,u),\,\,\,\, t\ge t_{0}$$ where $t_0 \in \mathbb{R}$, $f$ is defined on a subspace of $[t_0,\infty)\times {C}_{\tau}^{m}\times {\mathbb{R}}^r$, $m,r \in \mathbb{N}$, ${C}_{\tau}^{m}=C([-\tau,0],{\mathbb{R}}^{m})$, $\tau>0$, $x_t(\theta):=x(t+\theta)$, $\theta\in[-\tau,0]$, $x\colon [t_0-\tau,\infty)\to \mathbb{R}^{m}$. Under the assumption $f(t,\theta_m^*,\theta_r)=\theta_m$, where ${\theta}_m^*\in {C}_{\tau}^{m}$ is a zero vector-function, $\theta_r$ and $\theta_m$ are $r$ and $m$-dimensional zero vectors, a control function $u=u(t,x_t)$, $u\colon[t_0,\infty)\times {C}_{\tau}^{m}\to \mathbb{R}^{r}$, $u(t,{\theta}_m^*)=\theta_r$ is determined such that the zero solution $x(t)=\theta_m$, $t\ge t_{0}-\tau$ of the system is asymptotically stable and, for an arbitrary solution $x=x(t)$, the integral $$\int _{t_{0}}^{\infty}\omega \left(t,x_t,u(t,x_t)\right)\diff t,$$ where $\omega$ is a positive-definite functional, exists and attains its minimum value in a given sense. To solve this problem, Malkin's approach to ordinary differential systems is extended to delayed functional differential equations and Lyapunov's second method is applied. The results are illustrated by examples and applied to some classes of delayed linear differential equations.
Optimality Conditions For Scalar Lineardifferential System
Demchenko, Hanna
In the contribution, for scalar linear differential systém .. is considered. To solve the problem, Malkin’s approach and Lyapunov’s second method are utilized.
Optimization of Delayed Differential Systems by Lyapunov's Direct Method
Demchenko, Hanna ; Růžičková, Miroslava (oponent) ; Shatyrko,, Andriy (oponent) ; Diblík, Josef (vedoucí práce)
The present thesis deals with processes controlled by systems of delayed differential equations $$x'(t) =f(t,x_t,u),\,\,\,\, t\ge t_{0}$$ where $t_0 \in \mathbb{R}$, $f$ is defined on a subspace of $[t_0,\infty)\times {C}_{\tau}^{m}\times {\mathbb{R}}^r$, $m,r \in \mathbb{N}$, ${C}_{\tau}^{m}=C([-\tau,0],{\mathbb{R}}^{m})$, $\tau>0$, $x_t(\theta):=x(t+\theta)$, $\theta\in[-\tau,0]$, $x\colon [t_0-\tau,\infty)\to \mathbb{R}^{m}$. Under the assumption $f(t,\theta_m^*,\theta_r)=\theta_m$, where ${\theta}_m^*\in {C}_{\tau}^{m}$ is a zero vector-function, $\theta_r$ and $\theta_m$ are $r$ and $m$-dimensional zero vectors, a control function $u=u(t,x_t)$, $u\colon[t_0,\infty)\times {C}_{\tau}^{m}\to \mathbb{R}^{r}$, $u(t,{\theta}_m^*)=\theta_r$ is determined such that the zero solution $x(t)=\theta_m$, $t\ge t_{0}-\tau$ of the system is asymptotically stable and, for an arbitrary solution $x=x(t)$, the integral $$\int _{t_{0}}^{\infty}\omega \left(t,x_t,u(t,x_t)\right)\diff t,$$ where $\omega$ is a positive-definite functional, exists and attains its minimum value in a given sense. To solve this problem, Malkin's approach to ordinary differential systems is extended to delayed functional differential equations and Lyapunov's second method is applied. The results are illustrated by examples and applied to some classes of delayed linear differential equations.
Optimization of Linear Differential Systems with a Delay by Lyapunov's Direct Method
Demchenko, Hanna
Using Lyapunov’s direct method, control functions minimizing quality criteria are constructed and an illustrative example is given.
Optimization of Linear Differential Systems by Lyapunov's Direct Method
Demchenko, H.
Two approaches to solving optimization problems of dynamic systems are well-known. The first approach needs to find a fixed control (program control) for which the system described by differential equations reaches a predetermined value and minimizes an integral quality criterion. Proposed by L.S. Pontryagin, this method was in essence a further development of general optimization methods for dynamical systems. The second method consists in finding a control function (in the form of a feedback) guaranteeing that, simultaneously, the zero solution is asymptotically stable and an integral quality criterion attains a minimum value. This method is based on what is called the second Lyapunov method and its founder is N.N. Krasovskii. In the paper, the latter method is applied to linear differential equations and systems with integral quality criteria.

Viz též: podobná jména autorů
5 Demchenko, Hanna
Chcete být upozorněni, pokud se objeví nové záznamy odpovídající tomuto dotazu?
Přihlásit se k odběru RSS.