Minimal-function-approximation-based decentralized adaptive control of interconnected nonlinear systems with unknown control directions

초록

A minimal-function-approximation-based control approach is presented for the decentralized adaptive tracking of interconnected nonlinear systems consisting of subsystems with unknown control directions. The main contribution of this paper is to solve the utilization difficulty of the Nussbaum function caused by unusable error surfaces in the minimal-approximation-based control framework. The stability of the closed-loop system is rigorously analyzed in the Lyapunov sense and simulation results are provided to demonstrate the effectiveness of the proposed control algorithm. © ICROS 2017.

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