摘要: |
|
关键词: |
DOI: |
Received:April 06, 2005Revised:December 30, 2005 |
基金项目: |
|
State-shared model for multiple-input multiple-output systems |
Zhenhua TIAN, Karlene A.HOO |
(Department of Chemical Engineering,Texas Tech University,Lubbock,TX,USA) |
Abstract: |
This work proposes a method to construct a state-shared model for multiple_input multiple_output (MIMO) systems. A state_shared model is defined as a linear time invariant state_space structure that is driven by measurement signals _the plant outputs and the manipulated variables, but shared by different multiple input/output models. The genesis of the state_shared model is based on a particular reduced non_minimal realization. Any such realization necessarily fulfills the requirement that the output of the state_shared model is an asymptotically correct estimate of the output of the plant, if the process model is selected appropriately. The approach is demonstrated on a nonlinear MIMO system - a physiological model of calcium fluxes that controls muscle contraction and relaxation in human cardiac myocytes. |
Key words: Adaptive identifier Reduced-order model Multiple models Calcium fluxes Myocytes |