Download e-book for iPad: Uncertain dynamical systems. Stability and motion control by A.A. Martynyuk, Yu. A. Martynyuk-Chernienko

By A.A. Martynyuk, Yu. A. Martynyuk-Chernienko

ISBN-10: 1439876851

ISBN-13: 9781439876855

This concise and updated textbook is designed for a standard sophomore direction in differential equations. It treats the elemental principles, types, and resolution tools in a person pleasant structure that's obtainable to engineers, scientists, economists, and arithmetic majors. It emphasizes analytical, graphical, and numerical ideas, and it offers the instruments wanted through scholars to proceed to the following point in using the how you can extra complex difficulties. there's a robust connection to purposes with motivations in mechanics and warmth move, circuits, biology, economics, chemical reactors, and different components. furthermore, the textual content includes a new, effortless bankruptcy on structures of differential equations, either linear and nonlinear, that introduces key principles with no matrix research. next chapters deal with structures in a extra formal approach. in short, the subjects contain: First-order equations: separable, linear, self sufficient, and bifurcation phenomena; Second-order linear homogeneous and non-homogeneous equations; Laplace transforms; and Linear and nonlinear structures, and section airplane homes advent -- Lyapunov's Direct technique for doubtful structures -- balance of doubtful managed structures -- balance of Quasilinear doubtful structures -- balance of Large-Scale doubtful structures -- period and Parametric balance of doubtful structures -- balance of options of doubtful Impulsive platforms -- balance of recommendations of doubtful Dynamic Equations on a Time Scale -- Singularly Perturbed platforms with doubtful constitution -- Qualitative research of ideas of Set Differential Equations -- Set Differential Equations with a powerful Causal Operator -- balance of a suite of Impulsive Equations

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Example text

13) 22 Uncertain Dynamical Systems: Stability and Motion Control where f (α) is a nondifferentiable function of the uncertainties parameter α ∈ S ⊆ Rd , f (α) → f0 at α → 0 and f (α) → 0 at α → ∞. The zero solution x = 0 of this system is uncertain by Lyapunov because its first approximation dx = x, x(0) = 0, dt has the eigenvalue λ = 1 > 0. 1 Let r(α) = > 0. It is clear that r(α) → r0 at α → 0 and f (α) r(α) → ∞ at α → ∞. The set A(r) has the form A(r) = x : |x| = 1 f (α) . Take V = x2 and calculate dV dx = 2x = 2x2 1 − f 2 (α)x2 .

10) one can find values of time t2 > t1 > t0 such that at all t ∈ [t1 , t2 ] x(t2 , α) = r(α) + ε, (A) or (B) x(t1 , α) = r(α) + δ, x(t, α) > r(α) x(t2 , α) = r(α) − ε, x(t1 , α) = r(α) − δ, x(t, α) < r(α). Consider the case (A). According to the conditions (2)(a) and (3)(a), obtain a(r(α) + ε) = a( x(t2 , α) ) ≤ V (t2 , x(t2 , α), y) < V (t1 , x(t1 , α), y) ≤ b( x(t1 , α) ) = b(r(α) + δ) at all α ∈ S. 8). 9). 10) the following estimate is true r(α) − ε < x(t, α) < r(α) + ε at all t ≥ t0 and α ∈ S ⊆ Rd .

Let t0 ∈ Ti , ε > 0 and r(α) > 0 be given. 1). 8) b(r(α) − ε) < a(r(α) − δ). 9) and Such choice of δ is possible, since the functions a, b belong to the K-class. 1(a). Suppose that this is not so. 10) one can find values of time t2 > t1 > t0 such that at all t ∈ [t1 , t2 ] x(t2 , α) = r(α) + ε, (A) or (B) x(t1 , α) = r(α) + δ, x(t, α) > r(α) x(t2 , α) = r(α) − ε, x(t1 , α) = r(α) − δ, x(t, α) < r(α). Consider the case (A). According to the conditions (2)(a) and (3)(a), obtain a(r(α) + ε) = a( x(t2 , α) ) ≤ V (t2 , x(t2 , α), y) < V (t1 , x(t1 , α), y) ≤ b( x(t1 , α) ) = b(r(α) + δ) at all α ∈ S.

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Uncertain dynamical systems. Stability and motion control by A.A. Martynyuk, Yu. A. Martynyuk-Chernienko


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