TAILIEUCHUNG - Ebook The mechatronics handbook: Part 2

(BQ) Part 2 book "The mechatronics handbook" has contents: Signals and systems, state space analysis and system properties, kalman filters as dynamic system state observers, digital signal processing for mechatronic applications, digital logic concepts and combinational logic design, fault analysis in mechatronic systems,. and other contents. | IV Systems and Controls 21 The Role of Controls in Mechatronics Job van Amerongen Introduction • Key Elements of Controlled Mechatronic Systems • Integrated Modeling, Design and Control Implementation • Modern Examples of Mechatronic Systems in Action • Special Requirements of Mechatronics that Differentiate from “Classic” Systems and Control Design 22 The Role of Modeling in Mechatronics Design Jeffrey A. Jalkio Modeling as Part of the Design Process • The Goals of Modeling • Modeling of Systems and Signals 23 Signals and Systems Momoh-Jimoh Eyiomika Salami, Rolf Johansson, Kam Leang, Qingze Zou, Santosh Devasia, and C. Nelson Dorny Continuous and Discrete-Time Signals • z Transform and Digital Systems • Continuousand Discrete-Time State-Space Models • Transfer Functions and Laplace Transforms 24 State Space Analysis and System Properties Mario E. Salgado and Juan I. Yuz Models: Fundamental Concepts • State Variables: Basic Concepts • State Space Description for Continuous-Time Systems • State Space Description for Discrete-Time and Sampled Data Systems • State Space Models for Interconnected Systems • System Properties • State Observers • State Feedback • Observed State Feedback 25 Response of Dynamic Systems Raymond de Callafon System and Signal Analysis • Dynamic Response • Performance Indicators for Dynamic Systems 26 The Root Locus Method Hitay Özbay Introduction • Desired Pole Locations • Root Locus Construction • Complementary Root Locus • Root Locus for Systems with Time Delays • Notes and References 27 Frequency Response Methods Jyh-Jong Sheen Introduction • Bode Plots • Polar Plots • Log-Magnitude Versus Phase plots • Experimental Determination of Transfer Functions • The Nyquist Stability Criterion • Relative Stability 28 Kalman Filters as Dynamic System State Observers Timothy P. Crain II The Discrete-Time Linear Kalman Filter • Other Kalman Filter Formulations • Formulation Summary and Review • Implementation Considerations ©2002 CRC Press .

• Cơ khí - Chế tạo máy
• Sata acquisition
• Logic systems
• Systems and controls
• The mechatronics handbook
• State space analysis
• Digital signal processing
• Xử lý tín hiệu số
• Lecture Digital signal processing
• Digital signal
• Signal processing
• DSP applications
• Digital Signal Processing Research Program
• Avanced Telecommunications and Signal Processing Program
• Signal Processing Program
• Combined Source
• Block processing methods
• Sample processing methods
• VLSI Digital signal processing systems
• DSP systems
• FIR Digital Filters
• Parallel processing
• Digital signal processing: Principles Algorithms and Applications
• Fast fourier transform algorithms
• Discrete time systems
• Design of digital filters
• Multirate digital signal processing
• Lecture Signal processing
• Xử lý tín hiệu
• Mixed signals processing
• Applications of digital signal processing
• Discrete time signals
• Block diagram representation
• Signal flow graph description
• Quantization process
• Digital to analog converters
• Transfer functions
• Digital filter realization
• Discrete time signal
• Ultrasound signal processing
• Hardware software partitioning
• Digital signal processing systems
• Ultrasound devices
• Sampling theorem
• Analog reconstruction
• The z transform
• Properties of the z transform
• Discrete time fourier transform
• Discrete fourier transform
• Types of signals
• System impulse response
• Fourier transforms
• Inverse z transform
• Properties of z transform
• Periodic sampling
• „Frequency domain representation
• System analysis
• Frequency response
• Filter design
• IIR filter design
• FIR filter design
• Linear phase FIR filter
• Fourier transform
• Fast fourier transform
• Decimation in time FFT algorithms
• Loop bound
• DSP programs