L2 Observers for a Class of Nonlinear Systems with Unknown Inputs

被引:0
|
作者
Corless, Martin [1 ]
Chakrabarty, Ankush [2 ]
机构
[1] Purdue Univ, Sch Aeronaut & Astronaut, W Lafayette, IN 47907 USA
[2] Mitsubishi Elect Res Labs, Control & Dynam CD Syst Grp, Cambridge, MA 02139 USA
来源
2019 18TH EUROPEAN CONTROL CONFERENCE (ECC) | 2019年
关键词
Unknown input observers; convex programming; nonlinear disturbance model; internal model; quadratic constraints; fault detection and isolation; STATE;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We consider the problem of estimating the state and unknown input for a large class of nonlinear systems subject to unknown exogenous inputs. The exogenous inputs themselves are modeled as being generated by a nonlinear system subject to unknown inputs. The nonlinearities considered in this work are characterized by multiplier matrices that include many commonly encountered nonlinearities. We obtain a linear matrix inequality (LMI), that, if feasible, provides the gains for an observer which results in certified L-2 performance of the error dynamics associated with the observer. We also present conditions which guarantee that the L-2 norm of the error can be made arbitrarily small and investigate conditions for feasibility of the proposed LMIs.
引用
收藏
页码:1142 / 1147
页数:6
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