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.
1. Introduction: Foundations of Advanced Control Design in Process Engineering
2. Fundamentals of Control Systems in Process Engineering
3. Linear Model Predictive Control: Concepts and Applications
4. Robust Adaptive Control: Theory and Application
5. Scalability of the Nonlinear Control Scheme with its Efficacy Analysis
6. Reduced order modelling based on Sub-optimal control design of Bicycle Robot
7. Neural Network-observer based Adaptive Finite-time Frequency Control of Cyber-physical Power Systems
8. Machine Learning-based Adaptive Control
9. Distributed Adaptive Fault-tolerant Consensus Control of Multi-agent Systems with Deception attacks
10. Perception and Planning of Autonomous Vehicle Driving
11. Sensor Data Fusion: Techniques and Practical Applications
12. Cybersecurity Measures and its Mitigation
13. EYE on HMI is a Comprehensive Framework Designed to Track Human Machine Interfaces in Control Areas
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