For a class of linear discrete-time systems whose states can not be measured directly, an approach to designing the constrained controller based on state estimation was proposed. By constructing a proper linear state ...For a class of linear discrete-time systems whose states can not be measured directly, an approach to designing the constrained controller based on state estimation was proposed. By constructing a proper linear state observer for the controlled system, the sufficient condition to convergence of the state error was derived. Under a simple assumption on the initial state error, we presented an LMI-based method to design the constrained feedback gain and the observer gain. An example was used to illustrate our results.展开更多
Modeling is essential, significant and difficult for the quality and shaping control of arc welding process. A generalized rough set based modeling method was brought forward and a dynamic predictive model for pulsed ...Modeling is essential, significant and difficult for the quality and shaping control of arc welding process. A generalized rough set based modeling method was brought forward and a dynamic predictive model for pulsed gas tungsten arc welding (GTAW) was obtained by this modeling method. The results show that this modeling method can well acquire knowledge in welding and satisfy the real life application. In addition, the results of comparison between classic rough set model and back-propagation neural network model respectively are also satisfying.展开更多
文摘For a class of linear discrete-time systems whose states can not be measured directly, an approach to designing the constrained controller based on state estimation was proposed. By constructing a proper linear state observer for the controlled system, the sufficient condition to convergence of the state error was derived. Under a simple assumption on the initial state error, we presented an LMI-based method to design the constrained feedback gain and the observer gain. An example was used to illustrate our results.
基金The National Natural Science Foundation of China(No 60474036)
文摘Modeling is essential, significant and difficult for the quality and shaping control of arc welding process. A generalized rough set based modeling method was brought forward and a dynamic predictive model for pulsed gas tungsten arc welding (GTAW) was obtained by this modeling method. The results show that this modeling method can well acquire knowledge in welding and satisfy the real life application. In addition, the results of comparison between classic rough set model and back-propagation neural network model respectively are also satisfying.
