Quantified-state-feedback-based Nonlinear pure-feedback MIMO systems benefit from adaptive neural control
Küçük Resim Yok
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In the case of state quantizers for MIMO nonlinear block-Triangular pure-feedback systems, there is a certain sort of uncertainty that may be tolerated, we describe a quantized state feedback tracking mechanism. All state variables that may be measured for feedback are thought to benefit from uniform quantizers. In this study, we focus on the problem of tracking of output for a certain kind of MIMO nonlinear systems composed of interconnected modules with widely varying degrees of uncertainty. To begin, the total disturbance in the subsystems' control channels is refined to account for all uncertainties impacting the performance of the controlled outputs, such as internal unmodeled dynamics, external disturbances, and unknown nonlinear interactions between subsystems. It is shown that the total disturbance level is low enough for a real-Time estimate to be made by an extended state observer (ESO) utilising the observed outputs from the separate subsystems. Stability study of the closed-loop system with quantized state feedback is also performed using the Lyapunov stability theorem. Finally, illustrative simulation examples, such as a network of inverted pendulums, are shown to prove that the suggested control approach works as intended. © 2022 IEEE.
Açıklama
6th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2022 -- 20 October 2022 through 22 October 2022 -- Ankara -- 184355
Anahtar Kelimeler
MIMO Nonlinear, multi-input multiple-output (MIMO), Quantized state feedback control
Kaynak
ISMSIT 2022 - 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
