Page 328 - Distributed model predictive control for plant-wide systems
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302                                                                   Index


           Multitype cooling source system, DMPC     global performance index, 104
                   (continued)                       performance analysis, 112–13
                economic models, dual operating      stability analysis, 109–12
                     mode refrigerators, 281–2       system description, 104
                economic optimization, 281–3      Noniterative networked DMPC,
                iterative algorithm, subsystem MPC,    application, 126–43
                     285–6                           analysis of performance, 135–7
                MPC, subsystem of multi-type cold    closed-form solution, 132–5
                     source system, 284–5            DMPC formulation, 127
                objective function, economic           complete stacked state vector,
                     optimization, 282                      130–131
                subsystems model, multi-type cold      optimization problem, 131
                     source system, 283–4              stacked distributed state vector,
              introduction, 279                             129–30
              joint cooling system, 279–80           numerical validation, 137–43
              simulation, 286–91                       control strategy, 140
           Multizone building temperature regulation   performance of system, 140–143
                system, 2, 50–51, 201–2                process description, 137–8
                                                       system state-space model, 138–40
                                                     problem description, 126–7
           Networked distributed predictive control,
                                                     stability analysis, 135
                209–36
              analysis, 219–27
                feasibility, 219–25               Operation optimization, 279
                stability, 225–7
              conclusions, 236                    Plant-wide system, 1–3
              constrained N-DMPC, 212–19          Positive invariant region, 174, 192
                algorithm design, 218–19          Predictive control see Model predictive
                formulation, 212–18                    control
              formulations, coordination strategies,  Predictive control with state space model,
                   227–9                               26–32
              information structure constraints,     algorithm, state space MPC, 32
                   125–66                            closed-loop solution, state space
              introduction, 209–10                       MPC, 29
              performance comparison, 231–5          input increment constraint, state space
              problem description, 210–12                MPC, 31, 32
              simulation, 229–35                     observer, state space MPC, 29
           Networked DMPC, information constraints   output constraint, state space MPC, 31
                (N-DMPC), 12–13, 169                 performance index, state space MPC,
           Noniterative based algorithm, DMPC, 11        28
           Noniterative Cooperative DMPC, 104–14     prediction, state space MPC, 28–9
              closed-form solution, 107–9            state space MPC with constraint, 31
              example, 113–17                        system model, 27
              formulation, 104
                optimization model, 107           Recursive feasibility, 177
                performance index, 106            References, 293–8
                prediction model, 106             Riccati equation, 247
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