Previous ed.: 1994

1. An Overview and Brief History of Feedback Control. A Simple Feedback System. A First Analysis of Feedback. A Brief History. 2. Dynamic Models. Dynamics of Mechanical Systems. Differential Equations in State-Variable Form. Models of Electric Circuits. Models of Electromechanical Systems. Heat- and Fluid-Flow Models. Linearization and Scaling. 3. Dynamic Response. Review of Laplace Transforms. System Modeling Diagrams. Effect of Pole Locations. Time-Domain Specifications. Effects of Zeros and Additional Poles. Stability. Numerical Simulation. Obtaining Models from Experimental Data. 4. Basic Properties of Feedback. A Case Study of Speed Control. The Classical Three-Term Controller. Steady-State Tracking and System Type. Digital Implementation of Controllers. 5. The Root-Locus Design Method. Root Locus of a Basic Feedback System. Guidelines for Sketching a Root Locus. Selected Illustrative Root Loci. Selecting the Parameter Value. Dynamic Compensation. A Design Example Using the Root Locus. Extensions of the Root-Locus Method. 6. The Frequency-Response Design Method. Frequency Response. Neutral Stability. The Nyquist Stability Criterion. Stability Margins. Bode's Gain-Phase Relationship. Closed-Loop Frequency Response. Compensation. Alternate Presentations of Data. Specifications in Terms of the Sensitivity Function. Time Delay. Obtaining a Pole-Zero Model from Frequency-Response Data. 7. State-Space Design. Advantages of State Space. Analysis of the State Equations. Control-Law Design for Full-State Feedback. Selection of Pole Locations for Good Design. Estimator Design. Compensator Design: Combined Control Law and Estimator. Loop Transfer Recovery (LTR). Introduction of the Reference Input with the Estimator. Integral Control and Robust Tracking. Direct Design with Rational Transfer Functions. Design for Systems with Pure Time Delay. Lyapunov Stability. 8. Digital Control. Digitization. Dynamic Analysis of Discrete Systems. Design by Emulation.

For junior/senior level undergraduate and 1st year graduate courses in Control Theory.This introductory text provides an in-depth, comprehensive treatment of a collection of classical and state-space approaches to control system design--and ties the methods together so that a designer is able to pick the method that best fits the problem at hand. It includes case studies and comprehensive examples with close integration of MATLAB throughout the book.