2022
DOI: 10.1109/tfuzz.2021.3082691
|View full text |Cite
|
Sign up to set email alerts
|

Quantized Guaranteed Cost Output Feedback Control for Nonlinear Networked Control Systems and Its Applications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
26
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
6

Relationship

2
4

Authors

Journals

citations
Cited by 73 publications
(26 citation statements)
references
References 50 publications
0
26
0
Order By: Relevance
“…Hence, the study of GCC becomes an important topic and number of results have been reported 34,35 . For example, event‐triggered GCC for Markov jump neural networks has been studied in References 34 and 35 investigated the problem of quantized GCC for nonlinear NCSs. However, up to now, to the best of the authors' knowledge, few attempts have been made to study the problem of GCC for networked T‐S fuzzy switched systems under DoS attacks, which motivates this study.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Hence, the study of GCC becomes an important topic and number of results have been reported 34,35 . For example, event‐triggered GCC for Markov jump neural networks has been studied in References 34 and 35 investigated the problem of quantized GCC for nonlinear NCSs. However, up to now, to the best of the authors' knowledge, few attempts have been made to study the problem of GCC for networked T‐S fuzzy switched systems under DoS attacks, which motivates this study.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, in many practical applications, the basic control objective is not only to ensure the system stability, but also to possess a desired robust performance and to guarantee the quadratic performance index of the system not to exceed a certain upper bound. Hence, the study of GCC becomes an important topic and number of results have been reported 34,35 . For example, event‐triggered GCC for Markov jump neural networks has been studied in References 34 and 35 investigated the problem of quantized GCC for nonlinear NCSs.…”
Section: Introductionmentioning
confidence: 99%
“…However, these decentralized fuzzy H filtering and control methods ignore the effect of the spatially interconnection structures of large scale interconnected systems on the stability of the whole system. In References 37‐39, the problem of nonlinear distributed control is considered for continuous‐time networked nonlinear heterogeneous systems with respect to state feedback. The distributed fuzzy H filtering techniques can estimate the states of the interconnected systems from not only its own measurements but also its neighbors according to the topology of the underlying structure.…”
Section: Introductionmentioning
confidence: 99%
“…The switched system, which is constituted by some continuous‐time or discrete‐time subsystems and a switching law that decides which subsystem is activated, 1‐3 has been widely used in many areas of our daily life 4‐6 . In a switched linear system, the state trajectories of each subsystem can converge to the equilibrium point over time.…”
Section: Introductionmentioning
confidence: 99%
“…The switched system, which is constituted by some continuous-time or discrete-time subsystems and a switching law that decides which subsystem is activated, [1][2][3] has been widely used in many areas of our daily life. [4][5][6] In a switched linear system, the state trajectories of each subsystem can converge to the equilibrium point over time. If there exists an affine term in the switched system, equilibrium points of switched subsystems cannot be moved to the origin, so that the switched system has several equilibria in the state space, which is a prominent feature of the switched affine system.…”
Section: Introductionmentioning
confidence: 99%