Enhancing the Control of Systems and Devices

Improving Performance, Reliability and Adaptability in Dynamic Environments

Sheetla Prasad, Vipin Chandra Pal, Mohammad Rashid Ansari

• Publisher: Academic Press
• Year: 2026
• Topic: Technology & Engineering
• eBook ISBN:
  9780443302862
• Subtopic: Electrical Engineering & Telecommunications
• Index: Technology & Engineering

Enhancing the Control of Systems and Devices: Improving Performance, Reliability and Adaptability in Dynamic Environments provides an in-depth exploration of the application of sophisticated control design strategies to enhance the control of systems and devices in terms of performance, reliability, and adaptability in dynamic environments. A sophisticated control design strategy refers to the use of advanced and intricate control techniques to achieve specific objectives in complex systems. - Explores how Industry 4.0 technologies and AI contribute to advanced control strategies - Examines the interdisciplinary nature of manufacturing control, including aspects of robotics, automation, machining, and flexible process systems - Includes real-world examples and case studies that illustrate the application of sophisticated control in the process system - Shows how machine learning-based adaptive control allows the system to learn and adapt to new scenarios and conditions

Table of contents

• Title of Book
• Chapter 1 Introduction: Foundations of advanced control design in process engineering
• Chapter 2 Fundamentals of control systems in process engineering
• Chapter 3 Linear model predictive control: Concepts and applications
• Chapter 4 Robust adaptive control: Theory and application
• Chapter 5 Scalability of the nonlinear control scheme with its efficacy analysis
• Chapter 6 Chattering mitigation against system nonlinearities and disturbances using active disturbance prediction-based sliding mode control
• Chapter 7 Reduced-order modeling based on suboptimal control design of bicycle robot
• Chapter 8 Optimal control of hydropower-based microgrid with electric vehicles and wind power integration using linear quadratic regulator and linear matrix inequality techniques for frequency regulation
• Chapter 9 Neural network observer-based adaptive finite-time frequency control of cyber-physical power systems
• Chapter 10 Machine learning-based adaptive control
• Chapter 11 Distributed adaptive fault-tolerant consensus control of multiagent systems with deception attacks
• Chapter 12 Perception and planning of autonomous vehicle driving
• Chapter 13 Sensor data fusion: Techniques and practical applications
• Chapter 14 Cybersecurity measures and their mitigation
• Chapter 15 Data integrity attack mitigation using intelligent control scheme in multiarea power grids
• Chapter 16 EYE-on-HMI is a comprehensive framework designed to track human–machine interfaces in control areas
• Chapter 17 Conclusion and future prospectives
• Index