Finite‐time adaptive control for port‐controlled Hamiltonian systems with parametric perturbations

2022 ◽  
Author(s):  
Airong Wei ◽  
Zi‐Ming Wang ◽  
Rui Mu ◽  
Xianfu Zhang
Keyword(s):  
Adaptive Control ◽  
Hamiltonian Systems ◽  
Finite Time

Finite-time stability analysis and control for a class of nonlinear time-delay Hamiltonian systems

Automatica ◽  
2013 ◽  
Vol 49 (2) ◽  
pp. 390-401 ◽  
Author(s):  
Renming Yang ◽  
Yuzhen Wang
Keyword(s):  
Stability Analysis ◽  
Time Delay ◽  
Hamiltonian Systems ◽  
Finite Time ◽  
Time Stability ◽  
Finite Time Stability ◽  
And Control

Adaptive Finite-Time Robust Control of Nonlinear Delay Hamiltonian Systems Via Lyapunov-Krasovskii Method

2017 ◽  
Vol 20 (1) ◽  
pp. 332-342 ◽  
Author(s):  
Renming Yang ◽  
Rongwei Guo
Keyword(s):  
Robust Control ◽  
Hamiltonian Systems ◽  
Finite Time ◽  
Nonlinear Delay

scholarly journals Finite-Time Adaptive Control for Non-Strict Feedback Stochastic Nonlinear Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 179758-179764 ◽  
Author(s):  
Yumei Sun ◽  
Bingwei Mao ◽  
Shaowei Zhou ◽  
Hongxia Liu
Keyword(s):  
Adaptive Control ◽  
Nonlinear Systems ◽  
Finite Time ◽  
Stochastic Nonlinear Systems ◽  
Strict Feedback

scholarly journals Adaptive Finite-Time Mixed Interlayer Synchronization of Two-Layer Complex Networks with Time-Varying Coupling Delay

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Xiaoyun Tang ◽  
Zhanying Yang ◽  
Jie Zhang
Keyword(s):  
Adaptive Control ◽  
Complex Networks ◽  
Finite Time ◽  
Sufficient Conditions ◽  
Lyapunov Stability Theory ◽  
Time Varying ◽  
Coupling Delay ◽  
Noise Perturbation ◽  
Control Scheme ◽  
Adaptive Control Strategy

This paper is concerned with two-layer complex networks with unidirectional interlayer couplings, where the drive and response layer have time-varying coupling delay and different topological structures. An adaptive control scheme is proposed to investigate finite-time mixed interlayer synchronization (FMIS) of two-layer networks. Based on the Lyapunov stability theory, a criterion for realizing FMIS is derived. In addition, several sufficient conditions for realizing mixed interlayer synchronization are given. Finally, some numerical simulations are presented to verify the correctness and effectiveness of theoretical results. Meanwhile, the proposed adaptive control strategy is demonstrated to be nonfragile with the noise perturbation.

The regular dynamics through the finite‐time Lyapunov exponent distributions in 3D Hamiltonian systems

2019 ◽  
Vol 340 (9-10) ◽  
pp. 847-851
Author(s):  
Ali Taani ◽  
Ahmad Abushattal ◽  
Mohammad K. Mardini
Keyword(s):  
Lyapunov Exponent ◽  
Hamiltonian Systems ◽  
Finite Time ◽  
Finite Time Lyapunov Exponent

Adaptive control with finite time persistency of excitation

1986 ◽  
Vol 31 (10) ◽  
pp. 982-985 ◽  
Author(s):  
R. Cristi
Keyword(s):  
Adaptive Control ◽  
Finite Time ◽  
Persistency Of Excitation

Finite-Time Parameter Estimation in Adaptive Control of Nonlinear Systems

2008 ◽  
Vol 53 (3) ◽  
pp. 807-811 ◽  
Author(s):  
Veronica Adetola ◽  
Martin Guay
Keyword(s):  
Parameter Estimation ◽  
Adaptive Control ◽  
Nonlinear Systems ◽  
Finite Time ◽  
Time Parameter

Estimate of finite-time domain of attraction for a class of nonlinear Hamiltonian systems with time delay

2014 ◽  
Author(s):  
Renming Yang ◽  
Yuzhen Wang ◽  
Hairong Xiao ◽  
Fuguang Yang
Keyword(s):  
Time Delay ◽  
Hamiltonian Systems ◽  
Time Domain ◽  
Finite Time ◽  
Domain Of Attraction
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