Advanced control strategies for networked/distributed systems, theory and applications

1.1. Networked control systems

1.2. Network delay modeled as disturbance

1.3. Data-packet dropouts modeled as disturbances

1.4. Predictive controller with Luenberger observer design

1.5. Vehicle drivetrain application

1.6. EPAS application

1.7. Conclusions

Chapter 2. Chance-constrained networked model predictive control

2.1. Problem statement

2.2. Network delay modeling and controller

2.3. Vehicle drivetrain application

2.4. DC motor application

2.5. Conclusions

Chapter 3. Adaptive Smith-predictor for networked switching systems

3.1. Adaptive Smith-predictor

3.2. Electronic throttle application

3.3. Conclusions

Chapter 4. Decentralized model predictive control for distributed systems

4.1. Decentralized predictive controllers design

4.2. Mobile robot platooning

4.3. Conclusions

Chapter 5. Non-cooperative distributed model predictive control

5.1. Distributed model predictive controller (DMPC) design

5.2. Single-lane vehicle platooning application using IO-DMPC

5.3. Single-lane vehicle platooning application using SS-DMPC1

5.4. Single-lane vehicle platooning application using SS-DMPC2

5.5. Multiple-lane vehicle platooning application

5.6. Conclusions

Chapter 6. Robust coalitional distributed model predictive control

6.1. Coalitional DMPC (C-DMPC)

6.2. Other strategies - for comparison

6.3. Illustrative application

6.4. Conclusions

Bibliography