【摘要】 复杂大规模预测控制的在线求解问题可以由各个子系统去分布实现 ,子系统之间通过网络进行通信 .当系统受到扰动时 ,各个子系统之间的通信联结有可能受到影响 ,整个分布式系统的性能将会下降 .针对分布式预测控制优化算法 ,讨论了通信局部失效情况下 ,系统在滚动时域单步上的性能蜕变情况 .对于稳定收敛的分布式系统 ,给出了每一时刻其性能蜕变的上限表达式更多还原

【Abstract】 In order to reduce computational burden, a distributed model predictive control optimization algorithm was proposed, thus the on line optimization of complex large scale predictive control algorithm can be implemented by several sub systems in a distributed way; these sub systems can communicate each other through network. The development of communication network and field bus technology has provided possibility for this need. As the mutual communication and information exchange are adequately taken into account, this scheme can greatly improve the control performance. However, when it is subjected to some disturbances, the performance of the whole distributed system will degenerate. Aiming at this, the performance analysis of distributed predictive control system under the communication disturbances at each time horizon was discussed, and the upper bound expression of performance degeneration at each time horizon for the stable and convergent distributed system was also given.更多还原