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Systems and Control

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ISBN-10: 0195150112

ISBN-13: 9780195150117

Edition: 2002

Authors: Stanislaw H. Zak

List price: $249.99
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This textbok deals with modelling, analysis, and control of dynamical systems. Its objective is to familiarize students with the basics of dynamical system theory while equipping them with the tools needed for control system design. The emphasis is on design in order to show how dynamical system theory fits into practical applications. The broad scope of this book allows it to demonstrate the multidisciplinary role of dynamics and control. In particular, it presents neural networks, fuzzy systems, and genetic algorithms, and provides a concise introducton to chaotic systems. Systems and Control covers classical methods as well as the techniques of modern control engineering such as fuzzy…    
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Book details

List price: $249.99
Copyright year: 2002
Publisher: Oxford University Press, Incorporated
Publication date: 12/19/2002
Binding: Hardcover
Pages: 720
Size: 9.21" wide x 7.72" long x 1.50" tall
Weight: 3.322
Language: English

Preface
Dynamical Systems and Modeling
What Is a System?
Open-Loop Versus Closed-Loop
Axiomatic Definition of a Dynamical System
Mathematical Modeling
Review of Work and Energy Concepts
The Lagrange Equations of Motion
Modeling Examples
Analysis of Modeling Equations
State-Plane Analysis
Numerical Techniques
Principles of Linearization
Linearizing Differential Equations
Describing Function Method
Linear Systems
Reachability and Controllability
Observability and Constructability
Companion Forms
Linear State-Feedback Control
State Estimators
Combined Controller-Estimator Compensator
Stability
Informal Introduction to Stability
Basic Definitions of Stability
Stability of Linear Systems
Evaluating Quadratic Indices
Discrete-Time Lyapunov Equation
Constructing Robust Linear Controllers
Hurwitz and Routh Stability Criteria
Stability of Nonlinear Systems
Lyapunov's Indirect Method
Discontinuous Robust Controllers
Uniform Ultimate Boundedness
Lyapunov-Like Analysis
LaSalle's Invariance Principle
Optimal Control
Performance Indices
A Glimpse at the Calculus of Variations
Linear Quadratic Regulator
Dynamic Programming
Pontryagin's Minimum Principle
Sliding Modes
Simple Variable Structure Systems
Sliding Mode Definition
A Simple Sliding Mode Controller
Sliding in Multi-Input Systems
Sliding Mode and System Zeros
Nonideal Sliding Mode
Sliding Surface Design
State Estimation of Uncertain Systems
Sliding Modes in Solving Optimization Problems
Vector Field Methods
A Nonlinear Plant Model
Controller Form
Linearizing State-Feedback Control
Observer Form
Asymptotic State Estimator
Combined Controller-Estimator Compensator
Fuzzy Systems
Motivation and Basic Definitions
Fuzzy Arithmetic and Fuzzy Relations
Standard Additive Model
Fuzzy Logic Control
Stabilization Using Fuzzy Models
Stability of Discrete Fuzzy Models
Fuzzy Estimator
Adaptive Fuzzy Control
Neural Networks
Threshold logic Unit
Identification Using Adaptive Linear Element
Backpropagation
Neural Fuzzy Identifier
Radial-Basis Function (RBF) Networks
A Self-Organizing Network
Hopfield Neural Network
Hopfield Network Stability Analysis
Brain-State-in-a-Box (BSB) Models
Genetic and Evolutionary Algorithms
Genetics as an Inspiration for an Optimization Approach
Implementing a Canonical Genetic Algorithm
Analysis of the Canonical Genetic Algorithm
Simple Evolutionary Algorithm (EA)
Evolutionary Fuzzy Logic Controllers
Chaotic Systems and Fractals
Chaotic Systems Are Dynamical Systems with Wild Behavior
Chaotic Behavior of the Logistic Equation
Fractals
Lyapunov Exponents
Discretization Chaos
Controlling Chaotic Systems
App.: Math Review
Bibliography
Index