Based on inverse system of internal model control
Because of the current control systems are all nonlinear control systems, how to set up a mathematical model of nonlinear control systems has been a hot issue in the study of control, such problems are solved with neural network modeling of the inverse system method. Internal Model Control (IMC) is the new control strategies evolved from the predictive control, to linear systems given by transfer function representation, internal model control is an effective control design, especially the addition of the filter, not only can increase the physical realization of the controller, but also improve the robustness of the system to effectively solve the problems caused by model mismatch.
nonlinear control systems mathematical model internal model control predictive control robustness
Zhang Yanhong Zheng Zhongqiao
School of Electronic Information & Electric Engineering Changzhou Institute of Technology Changzhou, China
国际会议
太原
英文
19-21
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）