Abstract
This paper investigates a novel adaptive output feedback decentralized control scheme for nonstrict feedback large-scale interconnected systems with time-varying constraints. A decentralized linear state observer is designed to estimate the unmeasurable states of subsystems. Time-varying barrier Lyapunov functions are designed to ensure outputs are not violating constraints. A variable separation approach is applied to deal with the nonstrict feedback problem. Moreover, dynamic surface control and minimal parameter learning technologies are adopted to reduce the computation burden, and there are only two parameters for every subsystem to be updated online. The proof of stability is obtained by the Lyapunov method. Finally, simulation results are given to show the effectiveness of the proposed control scheme.
Highlights
No matter in practical engineering application or theoretical research field, the high-precision trajectory tracking control of the nonlinear system is a very valuable research topic
In [5], an adaptive fuzzy quantized tracking control scheme was proposed for the stochastic nonlinear uncertain strict feedback system
In [6], a direct model reference adaptive fuzzy control was discussed for a class of networked SISO nonlinear uncertain systems
Summary
No matter in practical engineering application or theoretical research field, the high-precision trajectory tracking control of the nonlinear system is a very valuable research topic. In [13], for a class of nonlinear pure-feedback full-state constraint systems, an adaptive control based on barrier Lyapunov functions was studied. In [25], for the switched uncertain large-scale system with dead zones, an adaptive output decentralized tracking control scheme was proposed. Based on the above results, this paper studies an adaptive output feedback decentralized control for the nonstrict feedback large-scale system with unmeasurable states and time-varying output constraints. Compared with the existed works, there are two contributions in this paper: (1) for the first time, the output feedback control problem of nonstrict feedback large-scale systems with time-varying constraints is studied. E proposed control scheme can solve the output feedback tracking control problem for a class of uncertain large-scale systems in nonstrict feedback form and ensure all the outputs are not violating the time-varying constraints. The tracking errors can be kept as small as possible, and all the signals of the closed system are bounded
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