Unifying the most important methodology in this field, Multi-Resolution Methods for Modeling and Control of Dynamical Systems explores existing approximation methods as well as develops new ones for the approximate solution of large-scale dynamical system problems. It brings together a wide set of m
Multi-Resolution Methods for Modeling and Control of Dynamical Systems
โ Scribed by Puneet Singla, John L. Junkins
- Publisher
- Chapman and Hall/CRC
- Year
- 2008
- Tongue
- English
- Leaves
- 320
- Series
- Chapman & Hall/CRC Applied Mathematics & Nonlinear Science
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Multi-Resolution Methods for Modeling and Control of Dynamical Systems discusses the underlying principles of input/output data approximation and issues associated with modeling large-scale dynamical systems. A number of techniques are applied that cover classical finite element methods, adaptive control, and neural networks to solve various problems in engineering disciplines. The book presents these diverse topics in an integrated manner derived from dynamical systems, estimation, optimization, and approximation theory. It also provides MATLABR code throughout.
๐ SIMILAR VOLUMES
This textbook is ideal for a course in engineering systems dynamics and controls. The work is a comprehensive treatment of the analysis of lumped parameter physical systems. Starting with a discussion of mathematical models in general, and ordinary differential equations, the book covers input/outpu
This textbook is ideal for an undergraduate course in Engineering System Dynamics and Controls. It is intended to provide the reader with a thorough understanding of the process of creating mathematical (and computer-based) models of physical systems. The material is restricted to lumped parameter m