Engineering and Scientific Computing with Scilab
(Sprache: Englisch)
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Produktinformationen zu „Engineering and Scientific Computing with Scilab “
Supplementary files run on UNIX and Windows 95/98/NT
Klappentext zu „Engineering and Scientific Computing with Scilab “
Overview Scilab is a scientific software package that provides a powerful open com puting environment for engineering and scientific applications. Distributed freely via the Internet since 1994, Scilab is currently being used in educa tional and industrial environments around the world. This book contains all the information needed to master Scilab: how to use it interactively as a super calculator, how to write programs, how to de velop complex applications, and more. The authors, Carey Bunks (BBN1), Jean-Philippe Chancelier (ENPC2), Fran~ois Delebecque, Claude Gomez, 3 Maurice Goursat, Ramine Nikoukhah, and Serge Steer (INRlA ), have not only been involved in the development of Scilab, but have used it for teach ing and industrial applications for many years. A CD-ROM, containing the entire Scilab soUrce code as well as a set of precompiled binary executables for a variety of computing platforms, is included with this book. The objective here is to give a thorough description of Scilab's use, in cluding how to master its environment and programming language, the use of the integrated graphics, the incorporation of user-provided func tions, and a tour of the numerous application toolboxes. The purpose is to provide students and professionals with an introduction to Scilab and its use in engineering and scientific problem solving. The numerous practical examples serve as a framework that can be used as a basis for developing other applications.
Inhaltsverzeichnis zu „Engineering and Scientific Computing with Scilab “
I The Scilab Package1 Introduction
1.1 What Is Scilab?
1.2 Getting Started
2 The Scilab Language
2.1 Constants
2.1.1 Real Numbers
2.1.2 Complex Numbers
2.1.3 Character Strings
2.1.4 Special Constants
2.2 Data Types
2.2.1 Matrices of Numbers
2.2.2 Sparse Matrices of Numbers
2.2.3 Matrices of Polynomials
2.2.4 Boolean Matrices
2.2.5 Sparse Boolean Matrices
2.2.6 String Matrices
2.2.7 Lists
2.2.8 Typed Lists
2.2.9 Functions of Rational Matrices
2.2.10 Functions and Libraries
2.3 Scilab Syntax
2.3.1 Variables
2.3.2 Assignments
2.3.3 Expressions
2.3.4 The list and tlist Operations
2.3.5 Flow Control
2.3.6 Functions and Scripts
2.3.7 Commands
2.4 Data-Type-Related Functions
2.4.1 Type Conversion Functions
2.4.2 Type Enquiry Functions
2.5 Overloading
2.5.1 Operator Overloading
2.5.2 Primitive Functions
2.5.3 How to Customize the Display of Variables
3 Graphics
3.1 The Media
3.1.1 The Graphics Window
3.1.2 The Driver
3.1.3 Global Handling Commands
3.2 Global Plot Parameters
3.2.1 Graphical Context
3.2.2 Indirect Manipulation of the Graphics Context
3.3 2-D Plotting
3.3.1 Basic Syntax for 2-D Plots
3.3.2 Specialized 2-D Plotting Functions
3.3.3 Captions and Presentation
3.3.4 Plotting Geometric Figures
3.3.5 Some Graphics Functions for Automatic Control
3.3.6 Interactive Graphics Utilities
3.4 3-D Plotting
3.4.1 3-D Plotting
3.4.2 Specialized 3-D Plots and Tools
3.4.3 Mixing 2-D and 3-D Graphics
3.5 Examples
3.5.1 Subwindows
3.5.2 A Set of Figures
3.6 Printing Graphics and Exporting to LATEX
3.6.1 Window to Printer
3.6.2 Creating a Postscript File
3.6.3 Including a Postscript File in LATEX
3.6.4 Scilab, Xfig, and Postscript
3.6.5 Creating Encapsulated Postscript Files
4 A Tour of Some Basic Functions
4.1 Linear Algebra
4.1.1 QR Factorization
4.1.2 Singular Value Decomposition
4.1.3 Schur Form and Eigenvalues
4.1.4 Block Diagonalization and Eigenvectors
4.1.5 Fine Structure
4.1.6 Subspaces
4.2 Polynomial
... mehr
and Rational Function Manipulation
4.2.1 General Purpose Functions
4.2.2 Matrix Pencils
4.3 Sparse Matrices
4.4 Random Numbers
4.5 Cumulative Distribution Functions and Their Inverses
5 Advanced Programming
5.1 Functions and Primitives
5.2 The Call Function
5.3 Building Interface Programs
5.4 Accessing "Global" Variables Within a Wrapper
5.4.1 Stack Handling Functions
5.4.2 Functional Arguments
5.5 Intersci
5.5.1 A First Intersci Example
5.5.2 Intersci Descriptor File Syntax
5.6 Dynamic Linking
5.7 Static Linking
5.7.1 Static Linking of an Interface
5.7.2 Functional Argument: Static Linking
II Tools
6 Systems and Control Toolbox
6.1 Linear Systems
6.1.1 State-Space Representation
6.1.2 Transfer-Matrix Representation
6.2 System Definition
6.2.1 Interconnected Systems
6.2.2 Linear Fractional Transformation (LFT)
6.2.3 Time Discretization
6.3 Improper Systems
6.3.1 Scilab Representation
6.3.2 Scilab Implementation
6.4 System Operations
6.4.1 Pole-Zero Calculations
6.4.2 Controllability and Pole Placement
6.4.3 Observability and Observers
6.5 Control Tools
6.6 Classical Control
6.6.1 Frequency Response Plots
6.7 State-Space Control
6.7.1 Augmenting the Plant
6.7.2 Standard Problem
6.7.3 LQG Design
6.7.4 Scilab Tools for Controller Design
6.8 H? Control
6.9 Model Reduction
6.10 Identification
6.11 Linear Matrix Inequalities
7 Signal Processing
7.1 Time and Frequency Representation of Signals
7.1.1 Resampling Signals
7.1.2 The DFT and the FFT
7.1.3 Transfer Function Representation of Signals
7.1.4 State-Space Representation
7.1.5 Changing System Representation
7.1.6 Frequency-Response Evaluation
7.1.7 The Chirp z-Transform
7.2 Filtering and Filter Design
7.2.1 Filtering
7.2.2 Finite Impulse Response Filter Design
7.2.3 Infinite Impulse Response Filter Design
7.3 Spectral Estimation
7.3.1 The Modified Periodogram Method
7.3.2 The Correlation Method
8 Simulation and Optimization Tools
8.1 Models
8.2 Integrating ODEs
8.2.1 Calling ode
8.2.2 Choosing Between Methods
8.2.3 ODE Integration with Stopping Times
8.2.4 Sampled Systems
8.3 Integrating DAEs
8.3.1 Implicit Linear ODEs
8.3.2 General DAEs
8.3.3 DAEs with Stopping Time
8.4 Solving Optimization Problems
8.4.1 Quadratic Optimization
8.4.2 General Optimization
8.4.3 Solving Systems of Equations
9 SCICOS - A Dynamical System Builder and Simulator
9.1 Hybrid System Formalism
9.2 Getting Started
9.2.1 Constructing a Simple Model
9.2.2 Model Simulation
9.2.3 Symbolic Parameters and "Context"
9.2.4 Use of Super Block
9.2.5 Simulation Outside the Scicos Environment
9.3 Basic Concepts
9.3.1 Basic Blocks
9.3.2 Inheritance and Time Dependence
9.3.3 Synchronization
9.4 Block Construction
9.4.1 Super Block
9.4.2 Scifunc Block
9.4.3 GENERIC Block
9.4.4 Fortran Block and C Blocks
9.4.5 Interfacing Function
9.4.6 Computational Function
9.5 Example
9.6 Palettes
9.6.1 Existing Palettes
9.6.2 Constructing New Palettes
10 Symbolic/Numeric Environment
10.1 Introduction
10.2 Generating Optimized Fortran Code with Maple
10.3 Maple to Scilab Interface
10.4 First Example: Simulation of a Rolling Wheel
10.5 Second Example: Control of an n-Link Pendulum
10.5.1 Simulation of the n-Link Pendulum
10.5.2 Control of the n-Link Pendulum
11 Graph and Network Toolbox: Metanet
11.1 What Is a Graph?
11.2 Representation of Graphs
11.2.1 Standard Tail/Head Representation
11.2.2 Other Representations
11.2.3 Graphs and Sparse Matrices
11.3 Creating and Loading Graphs
11.3.1 Creating Graphs
11.3.2 Loading and Saving Graphs
11.3.3 Using the Metanet Window
11.4 Generating Graphs and Networks
11.5 Graph and Network Computations
11.5.1 Getting Information About Graphs
11.5.2 Paths and Nodes
11.5.3 Modifying Graphs
11.5.4 Creating New Graphs From Old Ones
11.5.5 Graph Problem Solving
11.5.6 Network Flows
11.5.7 The Pipe Network Problem
11.5.8 Other Computations
11.6 Examples Using Metanet
11.6.1 Routing in the Paris Metro
11.6.2 Praxitele Transportation System
III Applications
12 Modal Identification of a Mechanical Structure
12.1 Modeling the System
12.2 Modeling the Excitation
12.2.1 Decomposition of the Unknown Input
12.2.2 Contribution of the Colored Noise
12.2.3 Contribution of the Harmonics
12.2.4 The Final Discrete-State Model
12.3 State-Space Representation and an ARMA Model
12.4 Modal Identification
12.4.1 Instrumental Variable Method
12.4.2 Balanced Realization Method
12.5 Numerical Experiments
12.5.1 Basic Computations
12.5.2 Some Plots of Results
13 Control of Hydraulic Equipment in a River Valley
13.1 Introduction
13.2 Description of a Managed River Valley
13.2.1 Hydraulic Equipment in a River Valley
13.2.2 Power Production
13.2.3 Structural Analysis
13.2.4 Controller Structure
13.2.5 Central Hydraulic Supervision Station
13.2.6 Local Controllers
13.3 Race Modeling
13.3.1 Physical Description
13.3.2 Mathematical Model
13.3.3 Race Numerical Simulation
13.4 Choice of Observation
13.4.1 Volume Observer
13.4.2 Level Observer
13.5 Control of a Race
13.5.1 Race Dynamics Identification
13.5.2 Local Control Synthesis
13.5.3 Series Anticipations Design
13.5.4 Parallel Anticipation Design
13.5.5 Feedback Controller Design
13.6 Metalido Overview
13.6.1 Graphical User Interface
13.6.2 Scicos
13.6.3 Data Structures
4.2.1 General Purpose Functions
4.2.2 Matrix Pencils
4.3 Sparse Matrices
4.4 Random Numbers
4.5 Cumulative Distribution Functions and Their Inverses
5 Advanced Programming
5.1 Functions and Primitives
5.2 The Call Function
5.3 Building Interface Programs
5.4 Accessing "Global" Variables Within a Wrapper
5.4.1 Stack Handling Functions
5.4.2 Functional Arguments
5.5 Intersci
5.5.1 A First Intersci Example
5.5.2 Intersci Descriptor File Syntax
5.6 Dynamic Linking
5.7 Static Linking
5.7.1 Static Linking of an Interface
5.7.2 Functional Argument: Static Linking
II Tools
6 Systems and Control Toolbox
6.1 Linear Systems
6.1.1 State-Space Representation
6.1.2 Transfer-Matrix Representation
6.2 System Definition
6.2.1 Interconnected Systems
6.2.2 Linear Fractional Transformation (LFT)
6.2.3 Time Discretization
6.3 Improper Systems
6.3.1 Scilab Representation
6.3.2 Scilab Implementation
6.4 System Operations
6.4.1 Pole-Zero Calculations
6.4.2 Controllability and Pole Placement
6.4.3 Observability and Observers
6.5 Control Tools
6.6 Classical Control
6.6.1 Frequency Response Plots
6.7 State-Space Control
6.7.1 Augmenting the Plant
6.7.2 Standard Problem
6.7.3 LQG Design
6.7.4 Scilab Tools for Controller Design
6.8 H? Control
6.9 Model Reduction
6.10 Identification
6.11 Linear Matrix Inequalities
7 Signal Processing
7.1 Time and Frequency Representation of Signals
7.1.1 Resampling Signals
7.1.2 The DFT and the FFT
7.1.3 Transfer Function Representation of Signals
7.1.4 State-Space Representation
7.1.5 Changing System Representation
7.1.6 Frequency-Response Evaluation
7.1.7 The Chirp z-Transform
7.2 Filtering and Filter Design
7.2.1 Filtering
7.2.2 Finite Impulse Response Filter Design
7.2.3 Infinite Impulse Response Filter Design
7.3 Spectral Estimation
7.3.1 The Modified Periodogram Method
7.3.2 The Correlation Method
8 Simulation and Optimization Tools
8.1 Models
8.2 Integrating ODEs
8.2.1 Calling ode
8.2.2 Choosing Between Methods
8.2.3 ODE Integration with Stopping Times
8.2.4 Sampled Systems
8.3 Integrating DAEs
8.3.1 Implicit Linear ODEs
8.3.2 General DAEs
8.3.3 DAEs with Stopping Time
8.4 Solving Optimization Problems
8.4.1 Quadratic Optimization
8.4.2 General Optimization
8.4.3 Solving Systems of Equations
9 SCICOS - A Dynamical System Builder and Simulator
9.1 Hybrid System Formalism
9.2 Getting Started
9.2.1 Constructing a Simple Model
9.2.2 Model Simulation
9.2.3 Symbolic Parameters and "Context"
9.2.4 Use of Super Block
9.2.5 Simulation Outside the Scicos Environment
9.3 Basic Concepts
9.3.1 Basic Blocks
9.3.2 Inheritance and Time Dependence
9.3.3 Synchronization
9.4 Block Construction
9.4.1 Super Block
9.4.2 Scifunc Block
9.4.3 GENERIC Block
9.4.4 Fortran Block and C Blocks
9.4.5 Interfacing Function
9.4.6 Computational Function
9.5 Example
9.6 Palettes
9.6.1 Existing Palettes
9.6.2 Constructing New Palettes
10 Symbolic/Numeric Environment
10.1 Introduction
10.2 Generating Optimized Fortran Code with Maple
10.3 Maple to Scilab Interface
10.4 First Example: Simulation of a Rolling Wheel
10.5 Second Example: Control of an n-Link Pendulum
10.5.1 Simulation of the n-Link Pendulum
10.5.2 Control of the n-Link Pendulum
11 Graph and Network Toolbox: Metanet
11.1 What Is a Graph?
11.2 Representation of Graphs
11.2.1 Standard Tail/Head Representation
11.2.2 Other Representations
11.2.3 Graphs and Sparse Matrices
11.3 Creating and Loading Graphs
11.3.1 Creating Graphs
11.3.2 Loading and Saving Graphs
11.3.3 Using the Metanet Window
11.4 Generating Graphs and Networks
11.5 Graph and Network Computations
11.5.1 Getting Information About Graphs
11.5.2 Paths and Nodes
11.5.3 Modifying Graphs
11.5.4 Creating New Graphs From Old Ones
11.5.5 Graph Problem Solving
11.5.6 Network Flows
11.5.7 The Pipe Network Problem
11.5.8 Other Computations
11.6 Examples Using Metanet
11.6.1 Routing in the Paris Metro
11.6.2 Praxitele Transportation System
III Applications
12 Modal Identification of a Mechanical Structure
12.1 Modeling the System
12.2 Modeling the Excitation
12.2.1 Decomposition of the Unknown Input
12.2.2 Contribution of the Colored Noise
12.2.3 Contribution of the Harmonics
12.2.4 The Final Discrete-State Model
12.3 State-Space Representation and an ARMA Model
12.4 Modal Identification
12.4.1 Instrumental Variable Method
12.4.2 Balanced Realization Method
12.5 Numerical Experiments
12.5.1 Basic Computations
12.5.2 Some Plots of Results
13 Control of Hydraulic Equipment in a River Valley
13.1 Introduction
13.2 Description of a Managed River Valley
13.2.1 Hydraulic Equipment in a River Valley
13.2.2 Power Production
13.2.3 Structural Analysis
13.2.4 Controller Structure
13.2.5 Central Hydraulic Supervision Station
13.2.6 Local Controllers
13.3 Race Modeling
13.3.1 Physical Description
13.3.2 Mathematical Model
13.3.3 Race Numerical Simulation
13.4 Choice of Observation
13.4.1 Volume Observer
13.4.2 Level Observer
13.5 Control of a Race
13.5.1 Race Dynamics Identification
13.5.2 Local Control Synthesis
13.5.3 Series Anticipations Design
13.5.4 Parallel Anticipation Design
13.5.5 Feedback Controller Design
13.6 Metalido Overview
13.6.1 Graphical User Interface
13.6.2 Scicos
13.6.3 Data Structures
... weniger
Bibliographische Angaben
- 1999, 491 Seiten, Maße: 18,5 x 26,2 cm, Gebunden, Englisch
- Mitarbeit: Bunks, C.; Chancelier, J.-P.; Delebecque, F.; Goursat, M.; Nikoukhah, R.; Herausgegeben von Gomez, Claude
- Herausgegeben: Claude Gomez
- Verlag: Springer
- ISBN-10: 0817640096
- ISBN-13: 9780817640095
- Erscheinungsdatum: 01.07.1999
Sprache:
Englisch
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