Journal
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
Volume 17, Issue 9, Pages 6054-6061Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2020.3038672
Keywords
Heuristic algorithms; Switches; Nonlinear dynamical systems; Informatics; Asymptotic stability; Convergence; Closed loop systems; Data driven; nonlinear systems; stability and convergence; Unmodeled dynamics; switching
Categories
Funding
- Natural Science Foundation of China [61773107, 61866021, 61991402, 61890924, 61833004, 61973202, U1813201, 61973131]
- Japan Society for the Promotion of Science [C-18K04212]
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This article introduces a new switching control scheme for a class of nonlinear discrete-time dynamical systems, focusing on the decomposition of unmodeled dynamics and the use of a novel estimation algorithm for the increment of unmodeled dynamics for control. Theoretical results demonstrate convergence and stability of the closed-loop system, with system performance evaluated through simulation results.
This article presents a new switching control scheme for controlling a class of nonlinear discrete-time dynamical systems. The key idea behind the proposed control techniques lies in the decomposition of unmodeled dynamics, that is, the unmodelled dynamics are decomposed as a sum of a known function depending on the data from the posterior unmodeled dynamics measurement and an unknown increment. The control algorithm is based on a novel estimation algorithm for the increment of unmodeled dynamics, which contributes two nonlinear controllers. The theoretical results on both convergence and stability of the closed-loop system are given. The system performance is evaluated by some simulation results.
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