Abstract : the gpc or crhpc strategy with input constraints will be possible to lead to infeasibility of the control algorithm and the performance of the control system will get degradation or instable . in order to overcome this problem , a control algorithm with guaranteed feasibility is proposed in this paper . it is shown that the algorithm makes the plant asymptotically stable and drives condition setpoint close to the actual setpoint of the plant 文摘:在系统输入受限的情况下,采用一般的广义预测控制或受限时域预测控制有可能会造成控制算法不可行,从而使系统的性能变坏或不稳定.针对这个问题,本文提出一种保证可行性的控制算法,并证明该算法能够使系统渐近稳定且最终使条件设定值跟踪系统的实际设定值
实际: reality; practice设: x定值: constant value; definite val ...国际设定值: international settings设定值: fixed value; set point value; set value; setpoint; setting value; setvalue; value设定值;调定值: set value实际设备: physical device; real device实际设备表: physical device table实际设备名: physical device name实际设备地址: physical device address实际设备坐号: actual device number实际设计压力: actual design pressure安全设定值: secure setting; secure socket layer变更设定值: change setting调定;定位;设定值: setting烧录设定值: burn setting设定值调整: set point control设定值范围: range of set value设定值控制: fixed set point control; set point control速度设定值: speed setting value线速设定值: line speed spt转速设定值: speed setting value组态设定值: configuration setting设定值,给定值;调整点: set-point实际滴定值: working titer