Dynamic Systems and Control Engineering

A modern treatment of modeling, analysis and control, covering fundamental theory, practical implementation, and advanced strategies.

Nader Jalili (Author), Nicholas W. Candelino (Author)

9781108831055, Cambridge University Press

Hardback, published 15 June 2023

850 pages
26.1 x 20.7 x 4.8 cm, 2.41 kg

Using a step-by-step approach, this textbook provides a modern treatment of the fundamental concepts, analytical techniques, and software tools used to perform multi-domain modeling, system analysis and simulation, linear control system design and implementation, and advanced control engineering. Chapters follow a progressive structure, which builds from modeling fundamentals to analysis and advanced control while showing the interconnections between topics, and solved problems and examples are included throughout. Students can easily recall key topics and test understanding using Review Note and Concept Quiz boxes, and over 200 end-of-chapter homework exercises with accompanying Concept Keys are included. Focusing on practical understanding, students will gain hands-on experience of many modern MATLAB® tools, including Simulink® and physical modeling in Simscape™. With a solutions manual, MATLAB® code, and Simulink®/Simscape™ files available online, this is ideal for senior undergraduates taking courses on modeling, analysis and control of dynamic systems, as well as graduates studying control engineering.

Part I. Modeling of Multi-Domain Dynamic Systems: 1. Introduction to Dynamic Systems
2. Modeling of Mechanical Systems
3. Modeling of Electrical Systems
4. Modeling of Multi-Domain Systems
Part II. Analysis of Multi-Domain Dynamic Systems: 5. Dynamic System Response
6. System Response Characteristics
7. System Transfer Function Analysis
Part III. Introduction to Feedback Systems: 8. Analysis of Feedback Control Systems
9. Root Locus Techniques
10. Frequency Domain Methods
11. Implementation of Feedback Control Systems
Part IV. Analysis and Feedback Control of Modern Systems: 12. State-Space Representation and Analysis
13. State-Space Control System Design
14. Advanced Topics in Control Engineering.

Subject Areas: Aerospace & aviation technology [TRP], Robotics [TJFM1], Optimization [PBU]