2020
DOI: 10.1109/access.2020.3023726
|View full text |Cite
|
Sign up to set email alerts
|

Observer-Based Adaptive Finite-Time Tracking Control for a Class of Switched Nonlinear Systems With Unmodeled Dynamics

Abstract: This paper investigates the adaptive finite-time tracking control problem for a class of switched nonlinear systems with unmodeled dynamics. In practical applications, switched systems usually possess unfavourable factors, such as unmeasured states and unmodeled dynamics both of which are taken into account in this paper. A dynamic signal defined with a special property is introduced in this paper to improve control performance while garanteeing stability of the controlled system. By designing an observer, a f… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
5

Citation Types

0
55
0

Year Published

2020
2020
2021
2021

Publication Types

Select...
10

Relationship

1
9

Authors

Journals

citations
Cited by 77 publications
(55 citation statements)
references
References 43 publications
0
55
0
Order By: Relevance
“…Huo et al [15] proposed a feasible decentralized eventtriggered control method under the framework of ACD (Adaptive Critical Design) for a class of constrained nonlinear systems. Chang et al [16] studied an adaptive neural control method for a class of random switching nonlinear systems with actuator failure in the form of nonstrict feedback.…”
Section: Introductionmentioning
confidence: 99%
“…Huo et al [15] proposed a feasible decentralized eventtriggered control method under the framework of ACD (Adaptive Critical Design) for a class of constrained nonlinear systems. Chang et al [16] studied an adaptive neural control method for a class of random switching nonlinear systems with actuator failure in the form of nonstrict feedback.…”
Section: Introductionmentioning
confidence: 99%
“…There are several control design methods for fully actuated mechanical systems because they possess some important properties like passivity and feedback linearization [3], which are helpful in the design of controllers for such systems. These methods include partial feedback linearization collocated [1], and non-collocated [4], passivity [5], adaptive and robust control [6][7][8][9], Sliding Mode Control (SMC) 10-13], fuzzy logic [14], and back-stepping [15]. The bottleneck associated with the aforementioned approaches is they are not directly applicable to the underactuated mechanical systems.…”
Section: Introductionmentioning
confidence: 99%
“…In [23], a novel strategy for complete and phase robust synchronizations of chaotic nonlinear systems based on singlestate feedback track synchronization control technique and genetic algorithm was proposed. More studies on control of nonlinear systems can be found in [24][25][26][27][28]. Different control strategies can be found in [29][30][31][32].…”
Section: Introductionmentioning
confidence: 99%