Download Absolute Stability of Nonlinear Control Systems, 2nd Edition by Xiaoxin Liao, Pei Yu PDF

By Xiaoxin Liao, Pei Yu

Following the hot advancements within the box of absolute balance, Prof. Xiaoxin Liao, along side Prof. Pei Yu, has created a moment version of his seminal paintings at the topic. Liao starts off with an creation to the Lurie challenge and Lurie regulate procedure, earlier than relocating directly to the easy algebraic enough stipulations for absolutely the balance of self sufficient and non-autonomous ODE platforms, in addition to a number of distinctive sessions of Lurie-type structures. the point of interest of the publication then shifts towards the recent effects and learn that experience seemed within the decade because the first version used to be released. This e-book is aimed for use by means of undergraduates within the parts of utilized arithmetic, nonlinear keep an eye on structures, and chaos keep an eye on and synchronisation, yet can also be worthwhile as a reference for researchers and engineers. The publication is self-contained, even though a simple wisdom of calculus, linear process and matrix conception, and usual differential equations is a prerequisite.

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Additional resources for Absolute Stability of Nonlinear Control Systems, 2nd Edition (Mathematical Modelling: Theory and Applications)

Example text

The partial variable y. 26 2 Principal Theorems on Global Stability Proof. We construct the Lyapunov function n V (x) = − ∑ xi i=1 0 ci fii (xi ) dxi . t. y. This is because m xi V (x) ≥ − ∑ i=1 0 ci fii (xi ) dxi := ϕ (y) → +∞ as y → +∞. t. y. For any x = ξ ∈ Rn , without loss of generality we can assume that k n ∑ ∏ ξi = 0, i=1 ξi2 = 0, m ≤ k ≤ n. i=k+1 Then, we obtain k k G(ξ ) = − ∑ ci fii (ξi ) ∑ fi j (ξ j ), i=1 =− 1 2 ∑ ci fii (ξi ) fi j (ξ j ) + c j f j j (ξ j ) f ji (ξi ) , i, j=1,i= j k ∑ =− j=1 k i, j=1 ci fii2 (ξi ) − k 1 ci fi j (x j ) c j f ji (xi ) + fii (ξi ) f j j (ξ j ), 2 f j j (x j ) fii (xi ) i, j=1,i= j ∑ k = m k m i=1 i, j=1 i=1 ∑ aii (ξ ) fii2 (ξi ) + ∑ ε fii2 (ξi ) + ∑ ai j (ξ ) fii (ξi ) f j j (ξ j ) − ∑ ε fii2 (ξi ) i=1 m ≤ − ∑ ε fii2 (ξi ) < 0.

Thus, cT x¯ = cT B−1 d − cT B−1 d − m T −1 c B c = m. cT B−1 c So for all m ∈ (0, +∞), U(x) ¯ > 0. However, on the other hand, U(x) ¯ = x¯T B x¯ − 2 d T x¯ − cT b, cT B−1 d − m T −1 T c (B ) cT B−1 c cT B−1 d − m −1 B c × B B−1 d − cT B−1 c cT B−1 d − m −1 B c − cTb. 21) Because B is a symmetric positive definite matrix, so is B−1 , and (B−1 )T = B−1 . Hence, cT B−1 d − m T cT B−1 d − m −1 −1 c B c B d − cT B−1 c cT B−1 c cT B−1 d − m −1 B c − cT b, − 2 d T B−1 d − cT B−1 c (cT B−1 d − m)2 − d TB−1 d − cTb, = cT B−1 c (cT B−1 d)2 cT B−1 d 1 = T −1 m2 − 2 T −1 m + T −1 − d TB−1 d − cTb, c B c c B c c B c U(x) ¯ = dT − which is quadratic polynomial of m, and the coefficient of m2 is 1 > 0.

T. y. 34. 38. 20) satisfies the following conditions: 1. fi (xi ) xi > 0 for xi = 0, aii < 0, i = 1, 2, . . , n, and fi (xi ) xi ≥ 0, i = m + 1, . . , n; 2. ⎡ a21 an1 ⎤ 1 − ··· − ⎢ a11 a11 ⎥ ⎢ a an2 ⎥ 21 ⎥ ⎢ 1 ··· − ⎥ ⎢ − ˜ ˜ a a ⎥ := A11 A12 , ⎢ ˜ 22 22 A := ⎢ ⎥ ˜ 21 A˜ 22 . . A ⎥ ⎢ .. .. ⎥ ⎢ ⎦ ⎣ a2n a1n − ··· 1 − ann ann where A˜ 11 , A˜ 12 , A˜ 21 , and A˜ 22 are m × m, m × p, p × m, and p × p matrices, ˜ ˜ −1 ˜ respectively, and A˜ 11 , A˜ 22 , I − A˜ −1 11 A12 A22 A21 are all M matrices.

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