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9780824707354

Qualitative Methods in Nonlinear Dynamics

by ;
  • ISBN13:

    9780824707354

  • ISBN10:

    0824707354

  • Format: Hardcover
  • Copyright: 2001-11-05
  • Publisher: CRC Press

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

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Summary

Presents new approaches to qualitative analysis of continuous, discrete-time, and impulsive nonlinear systems via Liapunov matrix valued functions.

Author Biography

A. A. Martynyuk is Chief, Stability of Processes Department, Institute of Mechanics, National Academy of Sciences of Ukraine, Kiev.

Table of Contents

Preface iii
Preliminaries
1(48)
Introduction
1(1)
Nonlinear Continuous Systems
2(3)
General equations of nonlinear dynamics
2(1)
Perturbed motion equations
3(2)
Definitions of Stability
5(3)
Scalar, Vector and Matrix-Valued Liapunov Functions
8(9)
Auxiliary scalar functions
8(1)
Comparison functions
9(5)
Vector Liapunov functions
14(1)
Matrix-valued metafunction
15(2)
Comparison Principle
17(6)
Liapunov-Like Theorems
23(10)
Matrix-valued function and its properties
23(3)
A version of the original theorems of Liapunov
26(7)
Advantages of Cone-Valued Liapunov Functions
33(8)
Stability with respect to two measures
34(2)
Stability analysis of large scale systems
36(5)
Liapunov's Theorems for Large Scale Systems in General
41(6)
Why are matrix-valued Liapunov functions needed?
41(1)
Stability and instability of large scale systems
42(5)
Notes
47(2)
Qualitative Analysis of Continuous Systems
49(90)
Introduction
49(1)
Nonlinear Systems with Mixed Hierarchy of Subsystems
50(18)
Mixed hierarchical structures
50(2)
Hierarchical matrix function structure
52(4)
Structure of hierarchical matrix function derivative
56(3)
Stability and instability conditions
59(1)
Linear autonomous system
60(3)
Examples of third order systems
63(5)
Dynamics of the Systems with Regular Hierarchy Subsystems
68(22)
Ikeda-Siljak hierarchical decomposition
68(1)
Hierarchical Liapunov's matrix-valued functions
69(5)
Stability and instability conditions
74(5)
Linear nonautonomous systems
79(11)
Stability Analysis of Large Scale Systems
90(10)
A class of large scale systems
90(1)
Construction of nondiagonal elements of matrix-valued function
91(3)
Test for stability analysis
94(1)
Linear large scale system
94(3)
Discussion and numerical example
97(3)
Overlapping Decomposition and Matrix-Valued Function Construction
100(8)
Dynamical system extension
100(5)
Liapunov matrix-valued function construction
105(1)
Test for stability of system (2.5.1)
105(1)
Numerical example
106(2)
Exponential Polystability Analysis of Separable Motions
108(19)
Statement of the Problem
108(2)
A method for the solution of the problem
110(8)
Autonomous system
118(4)
Polystability by the first order approximations
122(5)
Integral and Lipschitz Stability
127(8)
Definitions
127(1)
Sufficient conditions for integral and asymptotic integral stability
128(5)
Uniform Lipschitz stability
133(2)
Notes
135(4)
Qualitative Analysis of Discrete-Time Systems
139(44)
Introduction
139(1)
Systems Described by Difference Equations
140(3)
Matrix-Valued Liapunov Functions Method
143(6)
Auxiliary results
143(1)
Comparison principle application
144(3)
General theorems on stability
147(2)
Large Scale System Decomposition
149(2)
Stability and Instability of Large Scale Systems
151(8)
Auxiliary estimates
151(6)
Stability and instability conditions
157(2)
Autonomous Large Scale Systems
159(7)
Hierarchical Analysis of Stability
166(13)
Hierarchical decomposition and stability conditions
166(6)
Novel tests for connective stability
172(7)
Controlled Systems
179(2)
Notes
181(2)
Nonlinear Dynamics of Impulsive Systems
183(56)
Introduction
183(1)
Large Scale Impulsive Systems in General
184(17)
Notations and definitions
184(2)
Auxiliary results
186(9)
Sufficient stability conditions
195(2)
Instability conditions
197(4)
Hierarchical Impulsive Systems
201(3)
Analytical Construction of Liapunov Function
204(11)
Structure of hierarchical matrix-valued Liapunov function
204(3)
Structure of the total derivative of hierarchical matrix-valued function
207(8)
Uniqueness and Continuability of Solutions
215(7)
On Boundedness of the Solutions
222(6)
Novel Methodology for Stability
228(10)
Stability conditions
228(10)
Notes
238(1)
Applications
239(38)
Introduction
239(1)
Estimations of Asymptotic Stability Domains in General
239(24)
A fundamental Zubov's result
239(2)
Some estimates for quadratic matrix-valued functions
241(4)
Algorithm of constructing a point network covering boundary of domain E
245(5)
Numerical realization and discussion of the algorithm
250(4)
Illustrative examples
254(9)
Construction of Estimate for the Domain E of Power System
263(4)
Oscillations and Stability of Some Mechanical Systems
267(3)
Three-mass systems
267(2)
Nonautonomous oscillator
269(1)
Absolute Stability of Discrete Systems
270(4)
Notes
274(3)
References 277(18)
Subject Index 295

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