LMI-Based Exponential Estimates for Time-Delay Nonlinear Descriptor Systems ⁎ ⁎This work has been supported by the postdoctoral fellowship for CVU 366627, the ITSON Projects PROFAPI CA-18 2017-0088 and 2018-1062, and PFCE 2016-17. Juan Carlos Arceo was student at ITSON under CONACYT scholarship 415714 during the realization of this work.

Arceo, Juan Carlos; Villafuerte, R.; Estrada-Manzo, Víctor; Bernal, Miguel

doi:10.1016/j.ifacol.2018.06.251

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Other1

Article1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Stability Conditions and Control Designs via Improved Lyapunov Function for Takagi-Sugeno Fuzzy Descriptor Systems

Asai,

Itami,

Yoneyama

2023

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

View full text Add to dashboard Cite

Stability Conditions and Control Designs via Improved Lyapunov Function for Takagi-Sugeno Fuzzy Descriptor Systems

Asai,

Itami,

Yoneyama

2023

2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

View full text Add to dashboard Cite

H∞ robust control for underwater supercavitating vehicle with time delay

Zhao

Chen

Jing

et al. 2023

Journal of Vibration and Control

View full text Add to dashboard Cite

According to Logvinovich cavity dependent expansion principle, a cavity developed by cavitator has memory effect, which arises cavity deformation at aft part of a supercavitating vehicle and leads time delay of travel state. This delay affects the dynamic behavior through changing hydrodynamic and moment on the control surface, and even induces instability. This paper focuses on the time delay effect of the underwater supercavitating vehicle, and a simplified dynamic model of underwater supercavitating vehicle with delay was established. First, a planing force was simplified in straight level state, then a simplified model of supercavitating vehicle with delay in longitude plane was obtained. Taking depth, pitch angle, vertical speed and pitch rate as state variant, [Formula: see text] state feedback controller was designed by linear matrix inequality (LMI) and Lyapunov stable theory was exploited to prove the asymptotic stability of the system. Simulation results show that, the controlled system is effectiveness for both simplified model and non-simplified model and it can track reference command signal.

show abstract

Cited by 2 publications

References 31 publications

Stability Conditions and Control Designs via Improved Lyapunov Function for Takagi-Sugeno Fuzzy Descriptor Systems

Stability Conditions and Control Designs via Improved Lyapunov Function for Takagi-Sugeno Fuzzy Descriptor Systems

H∞ robust control for underwater supercavitating vehicle with time delay

Contact Info

Product

Resources

About