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Dynamic Modeling and Control of Engineering Systemsby Bohdan T. Kulakowski
Synopses & Reviews
This textbook is ideal for a course in Engineering System 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/output and state space models, computer simulation and modeling methods and techniques in mechanical, electrical, thermal and fluid domains. Frequency domain methods, transfer functions and frequency response are covered in detail. The book concludes with a treatment of stability, feedback control (PID, lead-lag, root locus) and an introduction to discrete time systems. This new edition features many new and expanded sections on such topics as: Solving Stiff Systems, Operational Amplifiers, Electrohydraulic Servovalves, Using Matlab with Transfer Functions, Using Matlab with Frequency Response, Matlab Tutorial and an expanded Simulink Tutorial. The work has 40% more end-of-chapter exercises and 30% more examples.
This is a textbook for advanced undergraduate courses in system dynamics and controls.
This is a textbook for undergraduate courses in system dynamics and controls. It presents a comprehensive treatment of the analysis of lumped parameter physical systems. Beginning with a discussion of mathematical models and ODE's, the book covers input/output and state space models, computer simulation and modeling methods and techniques in mechanical, electrical, thermal and fluid domains.
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 models, which are those models in which time is the only independent variable. It assumes a basic knowledge of engineering mechanics and ordinary differential equations. The new edition has expanded topical coverage and many more new examples and exercises.
About the Author
Bohdan Kulakowski, Ph.D. (1943-2006) was professor of mechanical engineering, Department of Mechanical and Nuclear Engineering, The Pennsylvania State University. Kulakowski was an internationally recognized expert in automatic control systems, computer simulations and control of industrial processes, system dynamics, vehicle/road dynamic interaction and transportation systems. His fuzzy logic algorithm for avoiding skidding accidents was recognized in 2000 by Discover magazine as one of its top 10 technological innovations of the year.John Gardner is the Chair of the Mechanical and Biomedical Engineering Department at Boise State University where he has been a faculty member since 2000. Prior to his appointment at Boise State, Dr Gardner was on the faculty at the Pennsylvania State University in University Park where his research in dynamic systems and controls led to publications in diverse fields from railroad freight car dynamics to adaptive control of artificial hearts. He pursues research in modeling and control of engineering and biological systems.J. Lowen Shearer (1921-1992) received his Sc.D. from Massachusetts Institute of Technology. At M.I.T. between 1950 and 1963, he served as both the group leader in the Dynamic Analysis & Control Laboratory and as a member of the Mechanical Engineering faculty. From 1963 until his retirement in 1985, he served on the faculty of Mechanical Engineering at the Pennsylvania State University. Professor Shearer was a long-time member of ASME's Dynamic Systems and Control Division and received that Group's Rufus Oldenberger Award in 1983. In addition, he was the recipient of the Donald P. Eckman Award (ISA, 1965) and the Richard Memorial Award (ASEM, 1966).
Table of Contents
Preface; 1. Introduction; 2. Mechanical systems; 3. Mathematical models; 4. Analytical solutions of system input-output equations; 5. Numerical solutions of ordinary differential equations; 6. Simulation of dynamic systems; 7. Electrical systems; 8. Thermal systems; 9. Fluid systems; 10. Mixed systems; 11. Transfer functions; 12. Frequency analysis; 13. Closed-loop systems and system stability; 14. Control systems; 15. Analysis of discrete-time systems; 16. Digital control systems; Appendix 1. Fourier series and the Fourier transformation; Appendix 2. Laplace transformations; Appendix 3. MATLAB tutorial; Appendix 4. Simulink tutorial; Index.
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