Decentralized Adaptive Output Feedback Fault Detection and Control for Uncertain Nonlinear Interconnected Systems

This paper studies the problem of decentralized adaptive output feedback fault detection and control for a class of uncertain nonlinear interconnected systems. The K-filters are designed to estimate the unmeasured state variables of the system. Moreover, the built-in noise dampening filters are introduced to attenuate the influence caused by the measurement noises. Then the fault detection scheme is proposed by designing the residual and threshold signals. Subsequently, by using the backstepping design method, the decentralized switched control strategies are proposed with the help of the neural network approximation technique. Based on the Lyapunov stability theory, it is proved strictly that all signals of the resulting closed-loop system are bounded. Finally, a simulation example is presented to verify the effectiveness of the theoretical result.

[1]  Petros A. Ioannou,et al.  Robust Adaptive Control , 2012 .

[2]  Yuanyuan Wang,et al.  Decentralized output feedback adaptive NN tracking control of interconnected nonlinear time-delay systems with prescribed performance , 2016, Neurocomputing.

[3]  Hongye Su,et al.  Output feedback control for uncertain nonlinear systems with input quantization , 2016, Autom..

[4]  Weisheng Chen,et al.  Adaptive output feedback control of nonlinear systems with actuator failures , 2009, Inf. Sci..

[5]  Marios M. Polycarpou,et al.  A robust nonlinear observer-based approach for distributed fault detection of input-output interconnected systems , 2015, Autom..

[6]  Bin Jiang,et al.  Decentralized Fault Tolerant Control for a Class of Interconnected Nonlinear Systems , 2018, IEEE Transactions on Cybernetics.

[7]  Sung Jin Yoo.  Fault detection and accommodation of a class of nonlinear systems with unknown multiple time-delayed faults , 2014, Autom..

[8]  Jun Zhao,et al.  Decentralized Adaptive Neural Output-Feedback DSC for Switched Large-Scale Nonlinear Systems , 2017, IEEE Transactions on Cybernetics.

[9]  Yongduan Song,et al.  Event-Triggered Sliding-Mode Control for Multi-Area Power Systems , 2017, IEEE Transactions on Industrial Electronics.

[10]  Shaocheng Tong,et al.  Adaptive Fuzzy Decentralized Control for Large-Scale Nonlinear Systems With Time-Varying Delays and Unknown High-Frequency Gain Sign , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[11]  Lilong Cai,et al.  Decentralized nonlinear adaptive control of an HVAC system , 2002 .

[12]  Jun Zhao,et al.  A Small-Gain Theorem for Switched Interconnected Nonlinear Systems and Its Applications , 2014, IEEE Transactions on Automatic Control.

[13]  Sung Jin Yoo,et al.  Output-Feedback Fault Detection and Accommodation of Uncertain Interconnected Systems With Time-Delayed Nonlinear Faults , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[14]  C. Desoer,et al.  Feedback Systems: Input-Output Properties , 1975 .

[15]  Changchun Hua,et al.  Decentralized adaptive neural network control for mechanical systems with dead-zone input , 2014 .

[16]  Gang Tao,et al.  An adaptive nonlinear output feedback controller using dynamic bounding with an aircraft control application , 2009 .

[17]  Marcel Staroswiecki,et al.  Fault recoverability and fault tolerant control for a class of interconnected nonlinear systems , 2015, Autom..

[18]  Xiaojie Su,et al.  Fault-Tolerant Control of Multiarea Power Systems via a Sliding-Mode Observer Technique , 2017, IEEE/ASME Transactions on Mechatronics.

[19]  Kok Kiong Tan,et al.  Fault Detection, Isolation, and Accommodation Control in Robotic Systems , 2008, IEEE Transactions on Automation Science and Engineering.

[20]  Yan Lin,et al.  Decentralized adaptive tracking control for a class of interconnected nonlinear time-varying systems , 2015, Autom..

[21]  Lei Guo,et al.  Decentralized output-feedback adaptive control for a class of interconnected nonlinear systems with unknown actuator failures , 2016, Autom..

[22]  Marios M. Polycarpou,et al.  A Distributed Fault Detection Filtering Approach for a Class of Interconnected Continuous-Time Nonlinear Systems , 2013, IEEE Transactions on Automatic Control.