Synthesis of Adaptive Gain Robust Controllers for Polytopic Uncertain Systems with Multiple Unknown Dead-Zone Inputs

Hayakawa, Satoshi; Nakagawa, Toshio; Oya, Hidetoshi; Hoshi, Yoshikatsu

doi:10.1109/iecon49645.2022.9969011

Cited by 2 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The parameter estimation technique is employed to handle the unknown dead-zone, then a decentralized FTC scheme is designed for uncertain nonlinear systems. 25 Motivated by the studies related to dead-zone, [26][27][28] few results investigate a more general scenario, where the prescribed performance, IDZ, and actuator faults are involved, which attracts our attention.…”

Section: Introductionmentioning

confidence: 99%

Prescribed performance adaptive fault‐tolerant control for nonlinear systems with actuator faults and input dead‐zone

Yang,

Zong

et al. 2024

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

This paper investigates the prescribed performance adaptive fault‐tolerant control problem for nonlinear systems with actuator faults and input dead‐zone (IDZ). The partial loss of effectiveness fault and bias fault are considered. First, the asymmetric nonlinear IDZ is transformed into an affine function in the backstepping process. Second, the radial basis function neural network technique is applied to deal with the unknown uncertainty of the studied system. The state observer is designed to estimate the unmeasurable states in the nonlinear systems. Third, a fault‐tolerant controller is developed such that all signals are semi‐globally uniformly ultimately bounded for the closed‐loop system, and the tracking error remains within the specified performance requirements even though the actuator faults and IDZ occur. Finally, an electromechanical system example is provided to exhibit the utilizability of the obtained control technique.

show abstract