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LMI‐based adaptive output feedback fault‐tolerant controller design for nonlinear systems
Author(s) -
Azmi Hadi,
Khosrowjerdi Mohammad Javad
Publication year - 2017
Publication title -
international journal of adaptive control and signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.73
H-Index - 66
eISSN - 1099-1115
pISSN - 0890-6327
DOI - 10.1002/acs.2805
Subject(s) - control theory (sociology) , nonlinear system , actuator , linear matrix inequality , controller (irrigation) , lyapunov stability , fault tolerance , fault detection and isolation , control reconfiguration , lyapunov function , computer science , control engineering , engineering , control (management) , mathematics , mathematical optimization , distributed computing , physics , quantum mechanics , artificial intelligence , agronomy , biology , embedded system
Summary This paper presents 2‐novel linear matrix inequality (LMI)‐based adaptive output feedback fault‐tolerant control strategies for the class of nonlinear Lipschitz systems in the presence of bounded matched or mismatched disturbances and simultaneous occurrence of actuator faults, including failure, loss of effectiveness, and stuck. The constructive algorithms based on LMI with creatively using Lyapunov stability theory and without the need for an explicit information about mode of actuator faults or fault detection and isolation mechanism are developed for online tuning of adaptive and fixed output‐feedback gains to stabilize the closed‐loop control system asymptotically. The proposed controllers guarantee to compensate actuator faults effects and to attenuate disturbance effects. The resulting control methods have simpler structure, as compared with most existing recent methods and more suitable for practical systems. The merits of the proposed fault‐tolerant control scheme have been verified by the simulation on nonlinear Boeing 747 lateral motion dynamic model subjected to actuator faults.