Based on the linear parameter-varying （LPV） adaptive observer, the robust fault diagnosis for a class of LPV systems with external disturbances is studied. Since the flight control system （FCS） is nonlinear and ti...Based on the linear parameter-varying （LPV） adaptive observer, the robust fault diagnosis for a class of LPV systems with external disturbances is studied. Since the flight control system （FCS） is nonlinear and time-varying, the LPV technique is used for FCS. And then the adaptive fault estimation algorithm based on the LPV adaptive observer is proposed to estimate the fault. To minimize the effect of disturbances on the fault estimation, the H~ robust performance index is introduced to design the LPV adaptive fault diagnosis observer and the fault estimation algorithm. The result shows that the method has good estimation performance and is robust to external disturbances. The design method is presented in terms of linear matrix inequalities （LMIs）. Finally, a helicopter LPV FCS model with the actuator fault is used to illustrate the effectiveness of the proposed method.展开更多
Function projective lag synchronization of different structural fractional-order chaotic systems is investigated. It is shown that the slave system can be synchronized with the past states of the driver up to a scalin...Function projective lag synchronization of different structural fractional-order chaotic systems is investigated. It is shown that the slave system can be synchronized with the past states of the driver up to a scaling function matrix. According to the stability theorem of linear fractional-order systems, a nonlinear fractional-order controller is designed for the synchronization of systems with the same and different dimensions. Especially, for two different dimensional systems, the synchronization is achieved in both reduced and increased dimensions. Three kinds of numerical examples are presented to illustrate the effectiveness of the scheme.展开更多
The aim of the present work is to introduce a pattern-based method for assisting the user during the temporal Requirement Specification （RS） phase. Indeed, since the user usually has to handle abstract notation as w...The aim of the present work is to introduce a pattern-based method for assisting the user during the temporal Requirement Specification （RS） phase. Indeed, since the user usually has to handle abstract notation as well as mathematical-based languages within this phase, RS is becoming more and more tedious and error-prone especially when dealing with complex systems. The authors＇ method begins by defining a new typology while taking into account all the common temporal requirements one may meet when specifying a system. Then, a literal word-based formal grammar able to express all the types of the identified requirements has been developed. Actually, the goal is to assist the user during the requirement identification with some means that are simple, intuitive, albeit rigorous. Finally, a generic set of observation patterns relative to the new time constraint taxonomy is defined. In practice, to check a given temporal constraint, its relative observation pattern is instantiated to obtain an observer that will stand for a watchdog for the associated requirement on the system.展开更多
Reliability analysis of a leak detection system developed by OSYRIS R＆D is dealed with in this paper. The developed algorithm is based on signal processing theory; and it uses the properties of the cross-correlation ...Reliability analysis of a leak detection system developed by OSYRIS R＆D is dealed with in this paper. The developed algorithm is based on signal processing theory; and it uses the properties of the cross-correlation function in order to distinguish the fluid leak from a various disturbances. Experimental results obtained on different processes, in presence of thermal and hydraulic disturbances, show the advantages and limits of the proposed approach.展开更多
This paper presents a new methodological approach for the synthesis ofa neuro-fuzzy controller, using an on-line learning procedure. A simple algebraic formulation of a Sugeno fuzzy inference system that ensures a coh...This paper presents a new methodological approach for the synthesis ofa neuro-fuzzy controller, using an on-line learning procedure. A simple algebraic formulation of a Sugeno fuzzy inference system that ensures a coherent universe of discourse, making easy its interpretation by a human being, is proposed and implemented in the case of the control of a bioreactor, which is considered as a complex non linear process.展开更多
基金Supported by the National Natural Science Foundation of China(60811120024)Aeronautical Scienceand Technology Innovation Foundation of China(08C52001)~~
文摘Based on the linear parameter-varying （LPV） adaptive observer, the robust fault diagnosis for a class of LPV systems with external disturbances is studied. Since the flight control system （FCS） is nonlinear and time-varying, the LPV technique is used for FCS. And then the adaptive fault estimation algorithm based on the LPV adaptive observer is proposed to estimate the fault. To minimize the effect of disturbances on the fault estimation, the H~ robust performance index is introduced to design the LPV adaptive fault diagnosis observer and the fault estimation algorithm. The result shows that the method has good estimation performance and is robust to external disturbances. The design method is presented in terms of linear matrix inequalities （LMIs）. Finally, a helicopter LPV FCS model with the actuator fault is used to illustrate the effectiveness of the proposed method.
基金Project supported by the National Natural Science Foundation of China(Grant No.11371049)the Science Foundation of Beijing Jiaotong University(Grant Nos.2011JBM130 and 2011YJS076)
文摘Function projective lag synchronization of different structural fractional-order chaotic systems is investigated. It is shown that the slave system can be synchronized with the past states of the driver up to a scaling function matrix. According to the stability theorem of linear fractional-order systems, a nonlinear fractional-order controller is designed for the synchronization of systems with the same and different dimensions. Especially, for two different dimensional systems, the synchronization is achieved in both reduced and increased dimensions. Three kinds of numerical examples are presented to illustrate the effectiveness of the scheme.
文摘The aim of the present work is to introduce a pattern-based method for assisting the user during the temporal Requirement Specification （RS） phase. Indeed, since the user usually has to handle abstract notation as well as mathematical-based languages within this phase, RS is becoming more and more tedious and error-prone especially when dealing with complex systems. The authors＇ method begins by defining a new typology while taking into account all the common temporal requirements one may meet when specifying a system. Then, a literal word-based formal grammar able to express all the types of the identified requirements has been developed. Actually, the goal is to assist the user during the requirement identification with some means that are simple, intuitive, albeit rigorous. Finally, a generic set of observation patterns relative to the new time constraint taxonomy is defined. In practice, to check a given temporal constraint, its relative observation pattern is instantiated to obtain an observer that will stand for a watchdog for the associated requirement on the system.
文摘Reliability analysis of a leak detection system developed by OSYRIS R＆D is dealed with in this paper. The developed algorithm is based on signal processing theory; and it uses the properties of the cross-correlation function in order to distinguish the fluid leak from a various disturbances. Experimental results obtained on different processes, in presence of thermal and hydraulic disturbances, show the advantages and limits of the proposed approach.
文摘This paper presents a new methodological approach for the synthesis ofa neuro-fuzzy controller, using an on-line learning procedure. A simple algebraic formulation of a Sugeno fuzzy inference system that ensures a coherent universe of discourse, making easy its interpretation by a human being, is proposed and implemented in the case of the control of a bioreactor, which is considered as a complex non linear process.
