Enhancing the Control of Systems and Devices: Improving Performance, Reliability and Adaptability in Dynamic Environments
Editat de Sheetla Prasad, Vipin Chandra Pal, Mohamad Rashid Ansarien Limba Engleză Paperback – noi 2025
- 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 illustrating 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
Preț: 867.67 lei
Preț vechi: 953.48 lei
-9% Nou
Puncte Express: 1302
Preț estimativ în valută:
166.03€ • 180.91$ • 139.90£
166.03€ • 180.91$ • 139.90£
Carte nepublicată încă
Doresc să fiu notificat când acest titlu va fi disponibil:
Se trimite...
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9780443302855
ISBN-10: 0443302855
Pagini: 250
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
ISBN-10: 0443302855
Pagini: 250
Dimensiuni: 152 x 229 mm
Editura: ELSEVIER SCIENCE
Cuprins
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
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