Fault detection and isolation of sensor in Markov jump systems based on space geometry method
This paper investigates sensor fault problems in Markov jump systems with uncertain disturbances. Using the measurement equation, the sensor faults can be translated into the state inputs. Subsequently, a cluster of residual generators is designed by employing the space geometric method. The corresp...
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Published in | 2016 35th Chinese Control Conference (CCC) pp. 6772 - 6777 |
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Main Authors | , , , |
Format | Conference Proceeding Journal Article |
Language | English |
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01.07.2016
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Abstract | This paper investigates sensor fault problems in Markov jump systems with uncertain disturbances. Using the measurement equation, the sensor faults can be translated into the state inputs. Subsequently, a cluster of residual generators is designed by employing the space geometric method. The corresponding filter parameters are obtained based on the space geometric approach, then using H ∞ optimization technique reduce the effects of disturbance inputs on the residuals, at the same time, the residual generator is designed so that the residual signals and sensor faults satisfy one to one correspondence, which can be used to detect and isolate the sensor faults in Markov jump systems with disturbance. Simulation results demonstrate the efficiency of the proposed method. |
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AbstractList | This paper investigates sensor fault problems in Markov jump systems with uncertain disturbances. Using the measurement equation, the sensor faults can be translated into the state inputs. Subsequently, a cluster of residual generators is designed by employing the space geometric method. The corresponding filter parameters are obtained based on the space geometric approach, then using H ∞ optimization technique reduce the effects of disturbance inputs on the residuals, at the same time, the residual generator is designed so that the residual signals and sensor faults satisfy one to one correspondence, which can be used to detect and isolate the sensor faults in Markov jump systems with disturbance. Simulation results demonstrate the efficiency of the proposed method. This paper investigates sensor fault problems in Markov jump systems with uncertain disturbances. Using the measurement equation, the sensor faults can be translated into the state inputs. Subsequently, a cluster of residual generators is designed by employing the space geometric method. The corresponding filter parameters are obtained based on the space geometric approach, then using H sub( infinity ) optimization technique reduce the effects of disturbance inputs on the residuals, at the same time, the residual generator is designed so that the residual signals and sensor faults satisfy one to one correspondence, which can be used to detect and isolate the sensor faults in Markov jump systems with disturbance. Simulation results demonstrate the efficiency of the proposed method. |
Author | Cheng, Qianshuai Huang, Ruirui Qiao, Dianfeng Hou, Yandong |
Author_xml | – sequence: 1 givenname: Yandong surname: Hou fullname: Hou, Yandong organization: Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475004, China – sequence: 2 givenname: Dianfeng surname: Qiao fullname: Qiao, Dianfeng email: qdfen_ghenu@126.com organization: Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475004, China – sequence: 3 givenname: Qianshuai surname: Cheng fullname: Cheng, Qianshuai organization: Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475004, China – sequence: 4 givenname: Ruirui surname: Huang fullname: Huang, Ruirui organization: Institute of Image Processing and Pattern Recognition, Henan University, Kaifeng 475004, China |
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SubjectTerms | Conferences Decision support systems Disturbances fault detection and isolation (FDI) Faults Generators H ∞ optimization technique Hafnium Markov jump systems Markov processes Mathematical analysis Optimization Sensors space geometric approach Unobservability subspace |
Title | Fault detection and isolation of sensor in Markov jump systems based on space geometry method |
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