Stabilization of Switched Fuzzy Systems via Stabilizing Switching-Dependent ADT Method

Jin, Cui-Li; Wang, Rui; Wang, Qing‐Guo; Wu, Di

doi:10.1109/tfuzz.2022.3204448

Cited by 9 publications

(2 citation statements)

References 25 publications

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“…As a kind of typical hybrid systems, switched systems are very favorable because they can describe a large number of actual complex processes and provide relatively simple nonlinear control construction methods. Also, switched systems, described as a set of interconnected subsystems that are activated and deactivated by control signals from external sources 1 , have become a research hotspot in the field of automatic control 2,3,4,5,6,7 . Due to the important role in switched systems, switching rules have attracted the attention of many scholars 8,9,10,11 .…”

Section: Introductionmentioning

confidence: 99%

Adaptive Anti-disturbance Switching Control for Switched T-S Fuzzy Systems

Zhao

Gao

Sang

et al. 2023

Preprint

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In this paper, an adaptive anti-disturbance switching (AADS) control strategy is proposed for switched Takagi-Sugeno fuzzy systems (ST-SFSs) subject to multi-source disturbances. The disturbances consist of two parts: the available unmodeled disturbance and the disturbance modeled by dynamic neural network. Firstly, a novel adaptive disturbance observer is designed to approximate the dynamic neural network modeled disturbance. Secondly, the attenuation performance from the output to the available disturbance is analyzed by the L 2 gain index. Thirdly, a controller based on the adaptive disturbance observer is constructed for the ST-SFS under the average dwell time switching signal limitation. Further, under the designed adaptive disturbance observer, and the controller, a sufficient condition is established for the ST-SFS to realize multi-source disturbance suppression (DS). Finally, a mass-spring-damping simulation example is given to verify the rationality of the established AADS control scheme.

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Section: Introductionmentioning

confidence: 99%

Adaptive Anti-disturbance Switching Control for Switched T-S Fuzzy Systems

Zhao

Gao

Sang

et al. 2023

Preprint

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“…As an effective method to deal with nonlinear systems, it has been developed rapidly and improved significantly. A Takagi-Sugeno (T-S) fuzzy model that uses a local linear model to approximate the treatment of nonlinear systems was proposed [11], which states that the T-S fuzzy controller can adapt to different system states in different linear subsystems, resulting in more accurate control [12]- [16]. In addition to nonlinearity, dynamical systems with switching characteristics, called STSF systems, are also receiving increasing attention [17], [18].…”

Section: Introductionmentioning

confidence: 99%

Model-Dependent Energy-to-Peak Control for Switched Fuzzy Singular Systems With Dynamic Quantization

Liu

2023

IEEE Access

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This paper is concerned with the energy-to-peak (E2P) feedback control for discrete-time switched Takagi-Sugeno fuzzy (STSF) singular systems with input quantized. The main challenge of this work comes from the difficulty of solving the semi-positive problem on the main diagonal in the E2P feedback control design. In order to further study the E2P control problem in the presence of dynamic quantization and fuzzy switching mechanism, a new method is proposed to ensure the E2P performance index and stochastic stability of closed-loop singular (CLS) systems. Then, the design conditions of modeldependent proportional plus derivative (MDPPD) state feedback controllers and mode-dependent (MD) dynamic quantizers for STSF singular systems are obtained in the form of linear matrix inequalities. Finally, a simulation example is given to illustrate the effectiveness of the proposed control design method.

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