
Enhancing the Control of Systems and Devices
Improving Performance, Reliability and Adaptability in Dynamic Environments
by Sheetla Prasad, Vipin Chandra Pal, Mohammad Rashid Ansari
1st Edition
Publisher: Academic Press
Book Details
| Print ISBN | 9780443302855 |
| eText ISBN | 9780443302862 |
| Publisher | Academic Press |
| Publishing Year | 2026 |
| Edition | 1st Edition |
| Language | English |
| Pages | 436 |
Enhancing the Control of Systems and Devices, 1st Edition, examines advanced control design strategies structured to improve system performance, operational reliability, and environmental adaptability. Written by Sheetla Prasad, Vipin Chandra Pal, and Mohammad Rashid Ansari, the book investigates how Industry 4.0 technologies and artificial intelligence contribute to modern control strategies across dynamic settings.
The volume addresses manufacturing control across several core domains, including robotics, automation, machining, and flexible process systems. Through explicit technical analysis, the text presents machine learning-based adaptive control techniques that enable operating systems to adjust effectively to new scenarios and changing environmental conditions.
With the central system scope established, the volume highlights machine learning-based adaptive control as a defining feature of modern process management. This text provides targeted analytical material for researchers, engineers, and practitioners seeking to optimize control strategies throughout process environments.
Table of Contents
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: Reduced order modelling based on Sub-optimal control design of Bicycle Robot
Chapter 7: Neural Network-observer based Adaptive Finite-time Frequency Control of Cyber-physical Power Systems
Chapter 8: Machine Learning-based Adaptive Control
Chapter 9: Distributed Adaptive Fault-tolerant Consensus Control of Multi-agent Systems with Deception attacks
Chapter 10: Perception and Planning of Autonomous Vehicle Driving
Chapter 11: Sensor Data Fusion: Techniques and Practical Applications
Chapter 12: Cybersecurity Measures and its Mitigation
Chapter 13: EYE on HMI is a Comprehensive Framework Designed to Track Human Machine Interfaces in Control Areas
Customer Reviews
0.0
0 reviews
No reviews yet. Be the first to review this book!
Write a Review
Reviewed by GradeFocus Editorial Team
▶Research Sources (13)
- Enhancing the Control of Systems and Devices - 1st Edition
- Enhancing the Control of Systems and Devices eBook by - EPUB
- Enhancing the Control of Systems and Devices
- Electrical and electronic engineering print books and ebooks
- Enhancing the Control of Systems and Devices - Kirjat
- Enhancing the Control of Systems and Devices: Improving ...
- Engineering and technology print books and ebooks - page 12
- Control of electrical systems print books and ebooks
- Enhancing the Control of Systems and Devices
- Enhancing the Control of Systems and Devices
- Enhancing the Control of Systems and Devices: Improving ...
- Enhancing the Control of Systems and Devices
- Enhancing the Control of Systems and Devices
Related Books

Electronics Use in Harsh Environments
Rajan Ambat

Digital Design using VerilogHDL
Shilpi Birla

Artificial Intelligence Empowered Smart Energy Systems
Qiang Yang

Stability Analysis of Converter-Rich Power Grids
Jun Liang

Multiphase Power Electronic Converters
Salman Ahmad

Signal Processing Roadmap
Pushan Kumar Dutta