T–S Fuzzy Sampled-Data Control for Nonlinear Systems With Actuator Faults and Its Application to Wind Energy System

Gandhi, Velmurugan; Joo, Young Hoon

doi:10.1109/tfuzz.2020.3041113

Cited by 41 publications

(12 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The optimal particle of each individual is the best position that the corresponding individual has reached, and its update method is described as: Assuming that the individual optimal particle of the previous generation is p ε (t) [42,43], the current individual optimal particle is P ε (t + 1), and the newly generated particle is X j (t + 1). If P f (X j (t+1))> f (P ε (t+1)) > 0.5, then P ε (t + 1) = X j (t + 1), where f (x) represents the fitness function.…”

Section: Calculation Of the Nash Equilibrium Solution Of The Damage G...mentioning

confidence: 99%

A Mathematical Modeling Approach of Target Damage Strategy on the Intersection Confrontation

Zhang

Chen

2022

Mathematics

View full text Add to dashboard Cite

The efficiency of target damage is to measure the effect of projectile attacks. Because there is antagonism at the intersection of projectiles and targets, it is very difficult to establish scientific damage assessment strategy model and a numerical calculation method. To scientifically evaluate the target damage effect when the projectile attacks the aircraft target, this paper introduces a game confrontation mechanism and proposes a numerical calculation method of aircraft target damage game strategy under the intersection confrontation. According to the theory of two-person non-cooperative games, the projectile is regarded as one of the players in the confrontation damage game, and the aircraft target is regarded as the other player. The damage gain model and gain function of the intersection confrontation of both sides are established. The effective expectation function and the minimum and maximum theorem are used to obtain the optimal Nash equilibrium solution of the game matrix strategy, and the Nash equilibrium point of the strategy space set is derived. Through calculation and comparative analysis, the results show that the optimal gain degree composed of the damage strategy selected by both the projectile and aircraft target under the Nash equilibrium solution brings the greatest gain. The proposed hybrid game strategy of damage assessment can be an effective reference for air combat decision making in the state of intersection confrontation.

show abstract

Section: Calculation Of the Nash Equilibrium Solution Of The Damage G...mentioning

confidence: 99%

A Mathematical Modeling Approach of Target Damage Strategy on the Intersection Confrontation

Zhang

Chen

2022

Mathematics

View full text Add to dashboard Cite

show abstract

“…In the absence of controllers, the response of system states in open-loop are plotted in Figure 2A, which demonstrates the considered numerical system is structurally unstable. Besides, the interval of random non-periodic DoS attacks (3) 2B and 3 depict the evolution of control input u(t), system states and dynamic variable 𝜒(t). The release instants are displayed in Figure 4A, where only 37 instants are triggered.…”

Section: Numerical Examplementioning

confidence: 99%

“…Thanks to its powerful advantages of dealing with nonlinear problems, many research results have been reported. [1][2][3][4] As stated above, T-S fuzzy model can directly deal with nonlinearities but not uncertainties. Fortunately, the authors in References 5 and 6 have introduced a type-2 fuzzy logic system, which can cope with uncertain grades of membership.…”

Section: Introductionmentioning

confidence: 99%

Memory‐based dynamic event‐triggered control for networked interval type‐2 fuzzy systems subject to DoS attacks

2021

Adaptive Control & Signal

View full text Add to dashboard Cite

In this article, the memory-based dynamic event-triggered controller design issue is investigated for networked interval type-2 (IT2) fuzzy systems under non-periodic denial-of-service (DoS) attacks. For saving limited network bandwidth, a novel memory-based dynamic event-triggered mechanism (DETM) is proposed to schedule data communication. Unlike existing event-triggered generators, the developed memory-based DETM can utilize a series of newly released signals and further save network resources by introducing interval dynamic variables. Moreover, to improve design flexibility, an IT2 fuzzy controller with freely selectable fuzzy rule number and premise membership functions (MFs) is synthesized. Then, a new switched time-delay system with imperfectly matched MFs is established under the consideration of memory-based DETM and DoS attacks simultaneously. Besides, based on the property of MFs, the boundary information of membership grades and slack matrices are introduced in the stability analysis. Furthermore, by using a piecewise Lyapunov-Krasovskii method, membership-functions-dependent criteria are deduced to ensure the asymptotic stability of built fuzzy switched systems. Finally, the effectiveness of proposed control strategies is demonstrated by simulation examples.

show abstract

“…Several researchers have paid attention to the dynamics of T-S fuzzy systems with SDC. To mention a few, the SDC has been studied for the T-S fuzzy-based wind energy system with actuator faults [26]. In addition, SDC has been utilized to solve the stability issue in [27] for DFIG-based WESs.…”

Section: Introductionmentioning

confidence: 99%

“…Over the last few years, sampled-data control (SDC) has performed an outstanding task in studying the stability of the T-S fuzzy system [25][26][27][28][29]. Since SDC has propitious status in regulating the signals between any two nonstop sampling times, it takes place smoothly at each sample time.…”

Section: Introductionmentioning

confidence: 99%

Stabilization of nonlinear PMSG-based wind energy conversion system via coupling memory sampled-data control with a membership function-dependent $ H_{\infty} $-approach

Yesudhas

Joo

2022

Preprint

Self Cite

View full text Add to dashboard Cite

This study presents the coupling memory sampled-data control (CMSDC) design for the Takagi-Sugeno (T-S) fuzzy system that solves the stabilization issue of a surface-mounted permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS). A fuzzy CMSDC scheme that includes the sampled-data control (SDC) and memory sampled-data control (MSDC) is designed by employing a Bernoulli distribution order. Meanwhile, the membership function-dependent (MFD) H∞ performance index is presented, mitigating the continuous-time fuzzy system's disturbances. Then, by using Lyapunov-Krasovski functional with MFD $H_\infty$ performance index, data of sampling pattern and a constant signal transmission delay, sufficient conditions are derived. These sufficient conditions are linear matrix inequalities (LMIs), ensuring the global asymptotic stability of PMSG-based WECS under the designed control technique. Besides, the proposed method is demonstrated by a numerical simulation implemented on the PMSG-based WECS. Finally, Rossler's system demonstrates the effectiveness and superiority of the proposed method.

show abstract

T–S Fuzzy Sampled-Data Control for Nonlinear Systems With Actuator Faults and Its Application to Wind Energy System

Cited by 41 publications

References 43 publications

A Mathematical Modeling Approach of Target Damage Strategy on the Intersection Confrontation

A Mathematical Modeling Approach of Target Damage Strategy on the Intersection Confrontation

Memory‐based dynamic event‐triggered control for networked interval type‐2 fuzzy systems subject to DoS attacks

Stabilization of nonlinear PMSG-based wind energy conversion system via coupling memory sampled-data control with a membership function-dependent $ H_{\infty} $-approach

Contact Info

Product

Resources

About