Digital Control Systems Design Identification and Implementation 1st edition by Ioan Landau , Zito Gianluca ISBN 1846280566 978-1846280566

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ISBN 10: 1846280566
ISBN 13: 978-1846280566
Author:  Ioan Landau , Zito Gianluca

The extraordinary development of digital computers (microprocessors, microcontrollers) and their extensive use in control systems in all fields of applications has brought about important changes in the design of control systems. Their performance and their low cost make them suitable for use in control systems of various kinds which demand far better capabilities and performances than those provided by analog controllers. However, in order really to take advantage of the capabilities of microprocessors, it is not enough to reproduce the behavior of analog (PID) controllers. One needs to implement specific and high-performance model based control techniques developed for computer-controlled systems (techniques that have been extensively tested in practice). In this context identification of a plant dynamic model from data is a fundamental step in the design of the control system. The book takes into account the fact that the association of books with software and on-line material is radically changing the teaching methods of the control discipline. Despite its interactive character, computer-aided control design software requires the understanding of a number of concepts in order to be used efficiently. The use of software for illustrating the various concepts and algorithms helps understanding and rapidly gives a feeling of the various phenomena.

Digital Control Systems Design Identification and Implementation 1st Table of contents:

 

Continuous Control Systems: A Review
1.1. Introduction to Continuous Control Systems
1.2. Key Components of Continuous Control Systems
1.3. Mathematical Models of Continuous Systems
1.4. Overview of Control Strategies
1.5. Summary

Computer Control Systems
2.1. Introduction to Computer-Based Control
2.2. Components of Computer Control Systems
2.3. Digital Controllers vs. Analog Controllers
2.4. Advantages and Challenges of Computer Control
2.5. Applications of Computer Control Systems
2.6. Summary

Robust Digital Controller Design Methods
3.1. Introduction to Robust Control
3.2. The Concept of Robustness in Digital Controllers
3.3. Methods for Designing Robust Digital Controllers
3.4. Performance and Stability in Robust Control
3.5. Case Studies and Applications
3.6. Summary

Design of Digital Controllers in the Presence of Random Disturbances
4.1. Nature of Random Disturbances in Control Systems
4.2. Methods for Handling Random Disturbances
4.3. Control Strategies for Improving Robustness
4.4. Impact of Disturbances on System Performance
4.5. Applications of Digital Controllers with Disturbances
4.6. Summary

System Identification: The Bases
5.1. Introduction to System Identification
5.2. Theoretical Foundations of System Identification
5.3. Types of Models Used in System Identification
5.4. Importance of Accurate System Identification
5.5. Summary

System Identification Methods
6.1. Overview of System Identification Techniques
6.2. Parametric vs. Non-Parametric Methods
6.3. Time-Domain vs. Frequency-Domain Approaches
6.4. Model Selection Criteria
6.5. Computational Tools for System Identification
6.6. Summary

Practical Aspects of System Identification
7.1. Practical Considerations in System Identification
7.2. Data Collection and Experimentation
7.3. Handling Noise and Measurement Errors
7.4. Model Validation Techniques
7.5. Common Challenges in System Identification
7.6. Summary

Practical Aspects of Digital Control
8.1. Introduction to Digital Control Implementation
8.2. Quantization and Sampling Effects in Digital Control
8.3. Practical Constraints in Digital Controller Design
8.4. Implementation of Digital Controllers in Real Systems
8.5. Performance Monitoring and Adjustment
8.6. Summary

Identification in Closed Loop
9.1. The Concept of Closed-Loop Identification
9.2. Advantages and Disadvantages of Closed-Loop Identification
9.3. Methods for Identifying Systems in Closed Loop
9.4. Closed-Loop Identification in the Presence of Disturbances
9.5. Applications of Closed-Loop System Identification
9.6. Summary

Reduction of Controller Complexity
10.1. The Need for Simplifying Controllers
10.2. Techniques for Reducing Controller Complexity
10.3. Trade-Off Between Simplicity and Performance
10.4. Computational Efficiency in Controller Design
10.5. Case Studies of Simplified Controllers
10.6. Summary

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Tags: Ioan Landau, Zito Gianluca, Digital Control, Design Identification