Page 40 - Distributed model predictive control for plant-wide systems

14 Distributed Model Predictive Control for Plant-Wide Systems

Part I

Chp.2 Model Predictive Control

Chp.3 Control Structure of
Distributed MPC

Chp.4 Structure Model and System
Decomposition

Part II Part IV
Chp.5 Local Cost Optimization- Chp.8 Local cost optimization
Based Distributed Model based Distributed Predictive
Predictive Control Control with Constraints
Chp.9 Cooperative Distributed
Chp.6 Cooperative Distributed
Predictive Control Predictive Control with
Constraints
Chp.7 Networked Distributed Chp.10 Networked Distributed
Predictive Control with Predictive Control with Inputs and
Information Structure Constraints Information Structure Constraints

Part V
Chp.11 Hot-Rolled Strip Laminar
Cooling Process with Distributed
Predictive Control

Chp.12 High-Speed Train Control with
Distributed Predictive Control

Chp.13 Operation Optimization of
Multi-type Cooling Source System
Based on DMPC

Figure 1.11 Content of this book

DMPCs can be clearly explained in a simple way without constraints. Chapter 5 presents the
LCO-DMPC (the simplest and most practical one) and Nash optimization-based DMPC (the
solution of which could obtain Nash optimality). Chapter 6 provides the C-DMPC which could
obtain very good performance of the entire system but each subsystem-based MPC of which
requires the information of the whole system. Chapter 7 introduces the N-DMPC with informa-
tion constraints which is a tradeoff between the two methods mentioned above. Both iterative
algorithm and noniterative algorithm for solving the optimal solution of subsystem-based MPC
are given in each coordinating strategy. The predictive model, explicit solution, and stability
analysis of each algorithm are also detailed in this part.