Distributed adaptive robust tracking and model matching control with actuator faults and interconnection failures |
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Authors: | Xiao-Zheng Jin Guang-Hong Yang |
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Affiliation: | 1. Key Laboratory of Integrated Automation of Process Industry (Ministry of Education), Northeastern University, Shenyang, 110004, China 2. College of Information Science and Engineering, Northeastern University, Shenyang, 110004, China
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Abstract: | In this paper, direct adaptive-state feedback control schemes are developed to solve the robust tracking and model matching
control problem for a class of distributed large scale systems with actuator faults, faulty and perturbed interconnection
links, and external disturbances. The adaptation laws are proposed to update the controller parameters on-line when all the
eventual faults, the upper bounds of perturbations and disturbances are assumed to be unknown. Then a class of distributed
state feedback controllers is constructed to automatically compensate the fault, perturbation and disturbance effects based
on the information from adaptive schemes. The proposed distributed adaptive tracking controller can ensure that the resulting
adaptive closed-loop large-scale system is stable and the tracking error decreases asymptotically to zero in the presence
of uncertain faults of actuators and interconnections, perturbations in interconnection channels, and disturbances. The proposed
adaptive design technique is finally evaluated in the light of a simulation example. |
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Keywords: | |
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