Emphasizes the linear graph method for modeling dynamic systems
Offers a systematic approach for creating an engineering model, extracting information, and formulating mathematical analyses
Adopts a unifying theme of power flow as the dynamic agent that eases analysis of hybrid systems, such as machinery
Presents differential equations as dynamic operators and stresses input/output relationships
Introduces Mathcad and programming in MATLAB
Allows for use of Open Source Computational Software (R or C)
Features over 1300 illustrations
Professor Karl Seeler is Professor of Mechanical Engineering at Lafayette College. His research interests mechanical properties of polymer, microcellular polymers, structural stability, machine safety, and systems dynamics. He holds a PhD from MIT.
This unique textbook takes the student from the initial steps in modeling a dynamic system through development of the mathematical models needed for feedback control. The generously-illustrated, student-friendly text focuses on fundamental theoretical development rather than the application of commercial software. Practical details of machine design are included to motivate the non-mathematically inclined student.
Introduction.- Differential Equations, Input Functions, Complex Exponentials, and Transfer Functions.- Introduction to the Linear Graph Method, Step Responses, and Superposition.- Mechanical Systems.- Fluid, Electrical, and Thermal Systems.- Power Transmission, Transformation and Conversion.- Vector-Matrix Algebra and the State-Space Representation of Dynamic Systems.- Finite Difference Methods and MATLAB.- Transfer Functions, Block Diagrams and the s-plane.- Frequency Response.- AC Circuits and Motors.
This essential textbook takes the student from the initial steps in modeling a dynamic system through development of the mathematical models needed for feedback control. The generously-illustrated, student-friendly text focuses on fundamental theoretical development rather than the application of commercial software. Practical details of machine design are included to motivate the non-mathematically inclined student.
This book also:
Emphasizes the linear graph method for modeling dynamic systems
Offers a systematic approach for creating an engineering model, extracting information, and formulating mathematical analyses
Adopts a unifying theme of power flow as the dynamic agent that eases analysis of hybrid systems, such as machinery
Presents differential equations as dynamic operators and stresses input/output relationships
Introduces Mathcad and programming in MATLAB
Allows for use of Open Source Computational Software (R or C)
Features over 1000 illustrations
This unique textbook takes the student from the initial steps in modeling a dynamic system through development of the mathematical models needed for feedback control. The generously-illustrated, student-friendly text focuses on fundamental theoretical development rather than the application of commercial software. Practical details of machine design are included to motivate the non-mathematically inclined student.
Introduction.- Differential Equations, Input Functions, Complex Exponentials, and Transfer Functions.- Introduction to the Linear Graph Method, Step Responses, and Superposition.- Mechanical Systems.- Fluid, Electrical, and Thermal Systems.- Power Transmission, Transformation and Conversion.- Vector-Matrix Algebra and the State-Space Representation of Dynamic Systems.- Finite Difference Methods and MATLAB.- Transfer Functions, Block Diagrams and the s-plane.- Frequency Response.- AC Circuits and Motors.
Über den Autor
Professor Karl Seeler is Professor of Mechanical Engineering at Lafayette College. His research interests mechanical properties of polymer, microcellular polymers, structural stability, machine safety, and systems dynamics. He holds a PhD from MIT.
Inhaltsverzeichnis
Introduction.- Differential Equations, Input Functions, Complex Exponentials, and Transfer Functions.- Introduction to the Linear Graph Method, Step Responses, and Superposition.- Mechanical Systems.- Fluid, Electrical, and Thermal Systems.- Power Transmission, Transformation and Conversion.- Vector-Matrix Algebra and the State-Space Representation of Dynamic Systems.- Finite Difference Methods and MATLAB.- Transfer Functions, Block Diagrams and the s-plane.- Frequency Response.- AC Circuits and Motors.
Klappentext
This unique textbook takes the student from the initial steps in modeling a dynamic system through development of the mathematical models needed for feedback control. The generously-illustrated, student-friendly text focuses on fundamental theoretical development rather than the application of commercial software. Practical details of machine design are included to motivate the non-mathematically inclined student.
Emphasizes the linear graph method for modeling dynamic systems
Offers a systematic approach for creating an engineering model, extracting information, and formulating mathematical analyses
Adopts a unifying theme of power flow as the dynamic agent that eases analysis of hybrid systems, such as machinery
Presents differential equations as dynamic operators and stresses input/output relationships
Introduces Mathcad and programming in MATLAB
Allows for use of Open Source Computational Software (R or C)
Features over 1300 illustrations
