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Table of Contents
1 Cover
6 Foreword
7 Preface
8 1 Preliminaries 1.1 Regulated Functions 1.2 Functions of Bounded ‐Variation 1.3 Kurzweil and Henstock Vector Integrals Appendix 1.A: The McShane Integral
9 2 The Kurzweil Integral 2.1 The Main Background 2.2 Basic Properties 2.3 Notes on Kapitza Pendulum
10 3 Measure Functional Differential Equations 3.1 Measure FDEs 3.2 Impulsive Measure FDEs 3.3 Functional Dynamic Equations on Time Scales 3.4 Averaging Methods 3.5 Continuous Dependence on Time Scales
11 4 Generalized Ordinary Differential Equations 4.1 Fundamental Properties 4.2 Relations with Measure Differential Equations 4.3 Relations with Measure FDEs
12 5 Basic Properties of Solutions 5.1 Local Existence and Uniqueness of Solutions 5.2 Prolongation and Maximal Solutions
13 6 Linear Generalized Ordinary Differential Equations 6.1 The Fundamental Operator 6.2 A Variation-of-Constants Formula 6.3 Linear Measure FDEs 6.4 A Nonlinear Variation-of-Constants Formula for Measure FDEs
14 7 Continuous Dependence on Parameters 7.1 Basic Theory for Generalized ODEs 7.2 Applications to Measure FDEs
15 8 Stability Theory 8.1 Variational Stability for Generalized ODEs 8.2 Lyapunov Stability for Generalized ODEs 8.3 Lyapunov Stability for MDEs 8.4 Lyapunov Stability for Dynamic Equations on Time Scales 8.5 Regular Stability for Generalized ODEs
16 9 Periodicity 9.1 Periodic Solutions and Floquet's Theorem 9.2 (θ, T)-Periodic Solutions
17 10 Averaging Principles 10.1 Periodic Averaging Principles 10.2 Nonperiodic Averaging Principles
18 11 Boundedness of Solutions 11.1 Bounded Solutions and Lyapunov Functionals 11.2 An Application to MDEs
19 12 Control Theory 12.1 Controllability and Observability 12.2 Applications to ODEs
20 13 Dichotomies 13.1 Basic Theory for Generalized ODEs 13.2 Boundedness and Dichotomies 13.3 Applications to MDEs 13.4 Applications to IDEs
21 14 Topological Dynamics 14.1 The Compactness of the Class 14.2
