Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 49, Issue 7, Pages 2444-2453Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2018.2817281
Keywords
Adaptive backstepping control; graph theory; large-scale systems; neural networks (NNs); unknown state-dependent interconnections
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Funding
- National Natural Science Foundation of China [61621004, 61420106016, 61603166]
- State Key Laboratory of Synthetical Automation for Process Industries [2013ZCX01]
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This paper investigates the problem of decentralized output feedback control for a class of interconnected systems with unknown state-dependent interconnections. First, we design a new form of K-filters with extra design parameters to compensate the unmeasurable states. Then by introducing a smooth function, we can design a decentralized output feedback control law by integrating the well-known backstepping framework. Furthermore, from the graph theory and Lyapunov function method, we analyze the stability and tracking property of the closed-loop systems. As an illustrative example, the proposed control scheme is applied to the controller design of a mass-spring-damper system.
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