Description
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
1. Introduction: Foundations of Advanced Control Design in Process Engineering2. Fundamentals of Control Systems in Process Engineering3. Linear Model Predictive Control: Concepts and Applications4. Robust Adaptive Control: Theory and Application5. Scalability of the Nonlinear Control Scheme with its Efficacy Analysis6. Reduced order modelling based on Sub-optimal control design of Bicycle Robot7. Neural Network-observer based Adaptive Finite-time Frequency Control of Cyber-physical Power Systems8. Machine Learning-based Adaptive Control9. Distributed Adaptive Fault-tolerant Consensus Control of Multi-agent Systems with Deception attacks10. Perception and Planning of Autonomous Vehicle Driving11. Sensor Data Fusion: Techniques and Practical Applications12. Cybersecurity Measures and its Mitigation13. EYE on HMI is a Comprehensive Framework Designed to Track Human Machine Interfaces in Control Areas
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