2020
DOI: 10.1049/iet-cta.2019.0769
|View full text |Cite
|
Sign up to set email alerts
|

Adaptive quantised control of uncertain non‐linear systems with state constraints and time‐varying delays

Abstract: This study proposes an adaptive quantised fuzzy control strategy for a class of non-linear systems with time-varying delay, state constraints, and input unmodelled dynamics. Design difficulties focus on the fact that the input-quantised actuator possesses both unknown control gain and non-linear input unmodelled dynamics, and all the states are required to satisfy state constraints. To remove these obstacles, integral barrier Lyapunov functions combined with Nussbaum functions are designed to deal with the unk… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
4
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(5 citation statements)
references
References 40 publications
(137 reference statements)
0
4
0
Order By: Relevance
“…For instance, sliding mode control is an extensively used approach to suppress external disturbances. [11][12][13][14] In Yue and Li, 15 Xia et al, 16 Guan et al, 17 and Yang et al, 18 the adaptive controller is devised to address the unknown disturbances in the delay system by automatically adjusting the control parameters. The methods proposed in the above literatures are to passively suppress the disturbance by enhancing the overall control capabilities of the system, so they are difficult to achieve satisfactory results under strong disturbance or high tracking performance requirements.…”
Section: Introductionmentioning
confidence: 99%
“…For instance, sliding mode control is an extensively used approach to suppress external disturbances. [11][12][13][14] In Yue and Li, 15 Xia et al, 16 Guan et al, 17 and Yang et al, 18 the adaptive controller is devised to address the unknown disturbances in the delay system by automatically adjusting the control parameters. The methods proposed in the above literatures are to passively suppress the disturbance by enhancing the overall control capabilities of the system, so they are difficult to achieve satisfactory results under strong disturbance or high tracking performance requirements.…”
Section: Introductionmentioning
confidence: 99%
“…In [13], taking the matched and mismatched disturbances into consideration, a trajectory linearization control method has been designed for the disturbed nonlinear systems. In [14], for a class of nonlinear systems with time-varying de-lay and state constraints, a novel quantitative adaptive control strategy has been established. In [15], for the miniature high-precision nonlinear system, a proportional integral-differential control method based on the dynamic hysteresis nonlinear model and inverse model has been pro-posed.…”
Section: Introductionmentioning
confidence: 99%
“…For various control issues of nonlinear systems with input delay, some results have been reported [8]- [14]. In [8], an adaptive quantised control method was proposed to tackle a class of uncertain nonlinear systems with state constraints and time-varying delays. Based on Laplace transformation and Taylor formula, a Pade approximation was used to transform time-delayed system into the delay-free one [13].…”
Section: Introductionmentioning
confidence: 99%
“…For various control issues of nonlinear systems with input delay, some results have been reported [8]- [14]. In [8], an adaptive quantised control method was proposed to tackle a class of uncertain nonlinear systems with state constraints and time-varying delays.…”
Section: Introductionmentioning
confidence: 99%