Learn all about modeling dynamic systems with Kelly's SYSTEM DYNAMICS AND CONTROLS, 1st Edition. Topics are presented in a clear and concise way that are easy to engage with. Each chapter has a preview of the chapter at the beginning and a summary of the chapter at the end, including a list of important equations. A multitude of workedout examples and endofchapter problems allow plenty of opportunities to master the content.
Part 1: Introduction.
1. Dynamic Systems.
2. Dimensions and Units.
3. Mathematical Modeling of Dynamic Systems.
4. System Components.
5. System Response.
6. Linearization of Differential Equations.
7. Unit Impulse Function and Unit Step Function.
8. Stability.
9. MATLAB.
10. Scope of Study.
11. Summary.
Part 2: Laplace Transforms.
1. Definition and Existence.
2. Determination of Transform Pairs.
3. Laplace Transform Properties.
4. Inversion of Transforms.
5. Laplace Transform Solution of Differential Equations.
6. Further Examples.
7. Summary.
Part 3: Transfer Function and State Space Modeling.
1. Introduction.
2. Transfer Functions for Systems with One Independent Variable (SISO Systems).
3. Transfer Function for Systems with Multiple Independent Variables (MIMO Systems).
4. State Variables and the Statespace Method.
5. State Space Models for System with Derivatives of the Input in the Mathematical Model.
6. Transfer Functions from the StateSpace Model for SISO Systems.
7. A StateSpace Model from the Transfer Function.
8. Transfer Functions for A MIMO System from StateSpace Model.
9. Further Problems.
10. Systems with a Time Delay.
11. Use of MATLAB.
12. Summary.
Part 4: Mechanical Systems.
1. Inertia Elements.
2. Springs.
3. Friction Elements.
4. Mechanical System Input.
5. FreeBody Diagrams.
6. Newton’s Laws.
7. SingleDegreeOfFreedom Systems.
8. MultidegreeOfFreedom Systems.
9. Energy Methods.
10. Transfer Functions for Mechanical Systems.
11. State Space Formulation for Mechanical Systems.
12. Further Examples.
13. Summary.
Part 5: Electrical Systems.
1. Charge, Current, Voltage, And Power.
2. Circuit Components.
3. Kirchoff’s Laws.
4. Circuit Reduction.
5. Mathematical Modeling of Electric Circuits.
6. Mechanical Systems Analogies.
7. Operational Amplifiers.
8. Electromechanical Systems.
9. Transfer Functions for Electrical Systems.
10. StateSpace Modeling of Electrical Circuits.
11. Further Examples.
12. Summary.
Part 6: Fluid, Thermal, and Chemical Systems.
1. Introduction.
2. Control Volume Analysis.
3. Pipe Flow.
4. Modeling of LiquidLevel Systems.
5. Pneumatic and Hydraulic Systems.
6. Thermal Systems.
7. Chemical Systems.
8. Biological Systems.
9. Transfer Functions for Transport Systems.
10. State Space Modeling of Transport Systems.
11. Further Examples.
12. Summary.
Part 7: Transient Analysis and Time Domain Response.
1. System Response Using Transfer Functions.
2. Transient Response Specification.
3. Stability Analysis.
4. FirstOrder Systems.
5. SecondOrder Systems.
6. HigherOrder Systems.
7. Systems with Time Delay.
8. Further Examples.
9. Summary.
Part 8: Frequency Response.
1. Undamped SecondOrder Systems.
2. Sinusoidal Transfer Function.
3. Frequency Response.
4. Bode Diagrams.
5. Nyquist Diagrams.
6. Use of MATLAB to Develop Bode Plots and Nyquist Diagrams.
7. FirstOrder Systems.
8. SecondOrder Systems.
9. HigherOrder Systems.
10. Response Due to Periodic Input.
11. Further Examples.
12. Summary.
Part 9: Feedback Control Systems.
1. Block Diagrams.
2. Diagram Modeling Using SIMULINK.
3. Feedback Control.
4. Types of Controllers.
5. Electronic, Hydraulic, Pneumatic, And Mechanical Controllers.
6. Properties of Control Systems.
7. Feedback Control of FirstOrder Plants.
8. Control of SecondOrder Plants.
9. Parallel Feedback Loops.
10. Further Examples.
11. Summary.
Part 10: RootLocus Analysis.
1. Introduction.
2. Definitions.
3. The Angle and Magnitude Criteria.
4. Breakaway and Breakin Points.
5. Asymptotes of Branches on the Rootlocus Diagram.
6. Summary of Steps in Drawing a RootLocus Diagram.
7. Use of MATLAB.
8. Control System Design Using RootLocus Method.
9. Tuning of PID Controllers.
10. Lead Compensators.
11. Lag Compensators.
12. LeadLag Compensators.
13. Further Problems.
14. Summary.
Part 11: Steadystate Analysis of Control Systems.
1. Introduction.
2. The Nyquist Stability Criterion.
3. Phase Margin and Gain Margin.
4. Steadystate Properties.
5. Frequency Response Design of Control Systems.
6. PID Controller Design.
7. Design of Lead Compensators.
8. Design of Lag Compensators.
9. Design of Leadlag Compensators.
10. Further Problems.
11. Summary.
Part 12: StateSpace Methods.
1. An Example in The State Space.
2. StateSpace Solutions for Free Response.
3. StateSpace Analysis of Response Due to Inputs.
4. Numerical Solutions.
5. MATLAB and SIMULINK Modeling in The StateSpace.
6. Nonlinear Systems and Systems with Variable Coefficients.
7. RootLocus Analysis in The StateSpace.
8. State Variable Feedback.
9. State Variable Feedback with Integral Control.
10. Determination of The Ackerman Matrix.
11. Further Examples.
12. Summary.
Appendix A Complex Algebra.
Appendix B Matrix Algebra.
Appendix C MATLAB.

This title is versatile and may be used for a system dynamics course, followed by a controls course, or it may be used in a controls course. It allows for easy teaching of controls using both transfer function methods and statespace methods.

The chapters on mathematical modeling of mechanical systems, electrical systems and transport systems cover the entire range of engineering topics that employ control system methods.

Discussion of operational amplifiers, hydraulic servomotors and pneumatic systems provide the instructor with the basics of controllers.

Coverage of lesserknown topics includes time delay systems.

Discussion of applications of frequency response includes vibration absorbers and electronic filters.

Hundreds of endofchapter problems are included, ranging from shortanswer questions to longer, more involved problems.

Learning Objectives at the beginning of each chapter articulate the skill the student should perform/achieve upon completion of the chapter. These are specific, measurable, authentic and inclusive.
Instructor's Companion Website for Kelly's System Dynamics and Controls
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