Control Systems Engineering, 6th Edition
December 2010, ©2011
2. MODELING IN THE FREQUENCY DOMAIN.
3. MODELING IN THE TIME DOMAIN.
4. TIME RESPONSE.
5. REDUCTION OF MULTIPLE SUBSYSTEMS.
7. STEADY-STATE ERRORS.
8. ROOT LOCUS TECHNIQUES.
9. DESIGN VIA ROOT LOCUS.
10. FREQUENCY RESPONSE TECHNIQUES.
11. DESIGN VIA FREQUENCY RESPONSE.
12. DESIGN VIA STATE SPACE.
13. DIGITAL CONTROL SYSTEMS.
Appendix A List of Symbols.
Appendix B MATLAB Tutorial.
Appendix C MATLAB’s Simulink Tutorial.
Appendix D LabVIEW Tutorial.
Answers to Selected Problems.
Appendix E MATLAB’s GUI Tools Tutorial (Online).
Appendix F MATLAB’s Symbolic Math Toolbox Tutorial (Online).
Appendix G Matrices, Determinants, and Systems of Equations (Online).
Appendix H Control System Computational Aids (Online).
Appendix I Derivation of a Schematic for a DC Motor (Online).
Appendix J Derivation of the Time Domain Solution of State Equations (Online).
Appendix K Solution of State Equations for t0 6¼ 0 (Online).
Appendix L Derivation of Similarity Transformations (Online).
Appendix M Root Locus Rules: Derivations (Online).
Control Systems Engineering Toolbox (Online).
Cyber Exploration Laboratory Experiments Covers Sheets (Online).
Lecture Graphics (Online).
Solutions to Skill-Assessment Exercises (Online).
- 20% new end-of-chapter problems that highlight biomedical,robotics,or other engineering applications including a new progressive analysis and design problem – a hybrid electric vehicle
- Greater emphasis on computer-aided analysis and design,including MATLAB®, LabVIEW, and Simulink
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- Accessibly written. Generally regarded as the best written control textbook, noted for clear writingand accessible presentation. (11 of 18 Amazon reviewers give it a 5 out of 5)
- Design Emphasis. Students are encouraged to go beyond a ?plug-and-chug? approach through the use of design problems, progressive analysis and design problems, and examples and problems related to the case studies.
- Real-world case studies (an autonomous submersible vehicle and an antenna position control system) are built up gradually throughout the chapters to demonstrate the analysis and design process.
- Strong learning-by-example pedagogical approach. Skill-assessment exercises demonstrate step-by-step techniques to solve most problems; cyber exploration labs show how to apply popular software tools (MATLAB®, LabVIEW, Simulink) to control engineering problems.
- Clearly ties mathematics to physical reality, so students can comprehend how theoretical concepts connect to actual system dynamics.
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