The parallel structure is one of the basic system architectures found in process networks. This paper formulates control strategies for such parallel systems when the states are unmeasured. The competitive coupling and competitive constraints are addressed in the control design. A distributed buffer and pre-estimator are proposed to solve problems relating to coupling and timely communication whilst a distributed moving horizon estimator is employed to further improve the estimation accuracy in the presence of the constraints. An output feedback robust distributed model predictive control algorithm is then developed for such parallel systems. The Lyapunov method is used for the theoretical analysis which produces tractable linear matrix inequalities (LMI). Simulations and experimental results are provided to validate the effectiveness of the proposed approach.

并行结构是过程网络中发现的基本系统体系结构之一。当状态无法测量时，本文提出了此类并行系统的控制策略。竞争耦合和竞争约束在控制设计中得到解决。提出了分布式缓冲器和预估计器以解决与耦合和及时通信有关的问题，同时在存在约束的情况下采用分布式移动水平估计器来进一步提高估计精度。然后针对此类并行系统开发了输出反馈鲁棒分布式模型预测控制算法。使用Lyapunov方法进行理论分析，从而产生可处理的线性矩阵不等式（LMI）。