"Control Theory in Engineering" ed. by Constantin Volosencu, Ali Saghafinia, Xian Du, Sohom Chakrabarty

The subject matter of this book ranges from new control design methods to control theory applications in electrical and mechanical engineering and computers. The book covers certain aspects of control theory, including new methodologies, techniques, and applications. It promotes control theory in practical applications of these engineering domains and shows the way to disseminate researchers’ contributions in the field.

This project presents applications that improve the properties and performance of control systems in analysis and design using a higher technical level of scientific attainment. The authors have included worked examples and case studies resulting from their research in the field. Readers will benefit from new solutions and answers to questions related to the emerging realm of control theory in engineering applications and its implementation.

Contents
1.Secure State Estimation and Attack Reconstruction in Cyber-Physical Systems: Sliding Mode Observer Approach
2.Nyquist-Like Stability Criteria for Fractional-Order Linear Dynamical Systems
3.Algorithms for LQR via Static Output Feedback for Discrete-Time LTI Systems
4.Conjugate Gradient Approach for Discrete Time Optimal Control Problems with Model-Reality Differences
5.Web Tension and Speed Control in Roll-to-Roll Systems
6.Discrete Time Sliding Mode Control
7.Chattering-Free Robust Adaptive Sliding Mode Speed Control for Switched Reluctance Motor
8.Synchronous Machine Nonlinear Control System Based on Feedback Linearization and Deterministic Observers
9.Nonlinear Dynamics of Asynchronous Electric Drive: Engineering Interpretation and Correction Techniques
10.Agent-Based Control System as a Tool towards Industry 4.0: Directed Communication Graph Approach
11.Power Balance Mode Control for Boost-Type DC-DC Converter
12.Static Var Compensator with Fractional Order Dynamics for Enhanced Stability and Control
13.Towards Optimised FPGA Realisation of Microprogrammed Control Unit Based FIR Filters
14.Computational Efficiency: Can Something as Small as a Raspberry Pi Complete the Computations Required to Follow the Path?
15.Discreteness in Time and Evaluation of the Effectiveness of Automatic Control Systems: Examples of the Effect of Discreteness on Mathematical Patterns
16.Modeling and Simulation of a DC Drive Integrated through a Demultiplexer