Includes bibliographical references and index.

Cover; Half-Title Page; Title Page; Copyright Page; Contents; Preface; Introduction; PART 1. Analog Feedback Control Systems; 1. Models of Dynamic Processes; 1.1. Introduction to dynamic processes; 1.1.1. Definition, hypotheses and notations; 1.1.2. Implications of hypotheses; 1.1.3. Dynamic model: an automation perspective; 1.2. Transfer functions; 1.2.1. Existence conditions; 1.2.2. Construction; 1.2.3. General structure of a transfer function; 1.2.4. Tools for the analysis of the properties of transfer functions; 1.2.5. First- and second-order transfer functions; 1.3. State models.

1.3.1. Definition1.3.2. Illustrative example; 1.3.3. General structure of the state model; 1.4. Linear state models with constant parameters; 1.4.1. Linearization-based construction; 1.4.2. Structure of a linear state model with constant parameters; 1.4.3. Properties of a model without pure input delay (T0 = 0); 1.5. Similarity transformation; 1.6. Exercises and solutions; 2. Experimental Modeling Approach of Dynamic Processes; 2.1. Introduction to experimental modeling; 2.1.1. Problem statement; 2.1.2. Principle of experimental modeling; 2.1.3. Experimental modeling methodology.

2.2. Step response-based modeling2.2.1. Model of order 1; 2.2.2. Under-damped model of order 2 (Îℓ <1); 2.2.3. Damped model of order â#x89;Æ 2 (Strejc method); 2.3. Frequency response-based modeling; 2.4. Modeling based on ARMA model; 2.4.1. ARMA model; 2.4.2. Parameter estimation of an ARMA model; 2.5. Matlab-aided experimental modeling; 2.6. Exercises and solutions; 3. Review of Analog FeedbackControl Systems; 3.1. Open-loop analog control; 3.1.1. Principle; 3.1.2. Open-loop control; 3.2. Analog control system; 3.3. Performances of an analog control system.

3.3.1. Closed-loop transfer functions3.3.2. Performance quantities; 3.4. Simple analog controllers; 3.5. PID/PIDF controllers; 3.5.1. Structure and role of the parameters of a PID/PIDF controller; 3.5.2. Zieglerâ#x80;#x93;Nichols methods for parameter calculation; 3.5.3. Calculation of parameters by pole placement; 3.5.4. Direct calculation of optimal PID parameters; 3.5.5. LQR-based indirect calculation of optimal PID parameters; 3.5.6. Implementation of analog controllers; 3.6. Controllers described in the state space; 3.6.1. Principle and block diagram of a linear state feedback.

3.6.2. Techniques for calculating the state feedback gain3.6.3. Integral action state feedback; 3.6.4. State feedback with integral action and observer; 3.6.5. State feedback with output error compensator; 3.7. Principle of equivalence between PID and LQR controllers; 3.7.1. Proof of the equivalence principle; 3.7.2. Equivalence relation; 3.7.3. Case study; 3.8. Exercises and solutions; PART 2. Synthesis and Computer-aided Simulation of Digital Feedback Control Systems; 4. Synthesis of Digital Feedback Control Systems in the Frequency Domain; 4.1. Synthesis methodology.

This book covers various modern theoretical, technical, practical and technological aspects of computerized numerical control and control systems of deterministic and stochastic dynamical processes.