<p><span>Robotic and mechatronic systems, autonomous vehicles, electric power systems and smart grids, as well as manufacturing and industrial production systems can exhibit complex nonlinear dynamics or spatio-temporal dynamics which need to be controlled to ensure good functioning and performance.
Stability Regions of Nonlinear Dynamical Systems: Theory, Estimation, and Applications
β Scribed by Hsiao-Dong Chiang , LuΓs F. C. Alberto
- Publisher
- Cambridge University Press
- Year
- 2015
- Tongue
- English
- Leaves
- 482
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This authoritative treatment covers theory, optimal estimation and a range of practical applications. The first book on the subject, and written by leading researchers, this clear and rigorous work presents a comprehensive theory for both the stability boundary and the stability regions of a range of nonlinear dynamical systems including continuous, discrete, complex, two-time-scale and non-hyperbolic systems, illustrated with numerical examples. The authors also propose new concepts of quasi-stability region and of relevant stability regions and their complete characterisations. Optimal schemes for estimating stability regions of general nonlinear dynamical systems are also covered, and finally the authors describe and explain how the theory is applied in applications including direct methods for power system transient stability analysis, nonlinear optimisation for finding a set of high-quality optimal solutions, stabilisation of nonlinear systems, ecosystem dynamics, and immunisation problems.
β¦ Table of Contents
Contents
Preface
Acknowledgements
1 Introduction
Part I Theory
2 Stability, limit sets, and stability regions
3 Energy function theory
4 Stability regions of continuous dynamical systems
5 Stability regions of attracting sets of complex nonlinear dynamical systems
6 Quasi-stability regions of continuous dynamical systems
7 Stability regions of constrained dynamical systems
8 Relevant stability boundary of continuous dynamical systems
9 Stability regions of discrete dynamical systems
Part II Estimation
10 Estimating stability regions of continuous dynamical systems
11 Estimating stability regions of complex continuous dynamical systems
12 Estimating stability regions of discrete dynamical systems
13 A constructive methodology to estimate stability regions of nonlinear dynamical systems
14 Estimation of relevant stability regions
15 Critical evaluation of numerical methods for approximating stability boundaries
Part III Advanced topics
16 Stability regions of two-time-scale continuous dynamical systems
17 Stability regions for a class of non-hyperbolic dynamical systems: theory
and estimation
18 Optimal estimation of stability regions for a class of large-scale nonlinear
dynamical systems
19 Bifurcations of stability regions
Part IV Applications
20 Application of stability regions to direct stability analysis of large-scale
electric power systems
21 Stability-region-based methods for multiple optimal solutions of nonlinear programming
22 Perspectives and future directions
Bibliography
Index
π SIMILAR VOLUMES
<p><span>This book presents the separation principle which is also known as the principle of separation of estimation and control and states that, under certain assumptions, the problem of designing an optimal feedback controller for a stochastic system can be solved by designing an optimal observer