Journal ArticleDOI
Sliding mode control for non-linear systems by Takagi–Sugeno fuzzy model and delta operator approaches
TLDR
In this paper, the authors considered the problem of adaptive sliding mode control for discrete-time Takagi-Sugeno (T-S) fuzzy systems with actuator faults and external disturbances via the delta operator method.Abstract:
This study considers the problem of adaptive sliding mode control for discrete-time Takagi-Sugeno (T-S) fuzzy systems with actuator faults and external disturbances via the delta operator method. The delta operator approach is used to represent the discrete-time non-linear systems described by T-S fuzzy models. The actuator fault considered in this study is unknown and its fault-deviation is also unknown. A reduced-order system is utilised to design the sliding mode surface subject to linear matrix inequality constraint. By constructing the sliding mode surface, a novel adaptive sliding mode controller is designed to guarantee that the closed-loop system is uniformly ultimately bounded. Finally, two practical examples are presented to show the effectiveness and applicability of the developed fault-tolerant control scheme.read more
Citations
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Journal ArticleDOI
Adaptive Sliding Mode Control for Takagi–Sugeno Fuzzy Systems and Its Applications
TL;DR: It is shown that under the proposed sliding mode controller, the resulting closed-loop system can achieve the uniformly ultimate boundedness and simulation examples are presented to show the merit and applicability of the proposed fuzzy sliding mode control method.
Journal ArticleDOI
Adaptive sliding mode fault-tolerant control for type-2 fuzzy systems with distributed delays
TL;DR: The problem of sliding-mode fault-tolerant control is addressed for a class of uncertain nonlinear systems with distributed delays and parameter perturbations by using interval type-2 Takagi–Sugeno (T–S) fuzzy models, of which uncertain parameters and distributed state delays are represented in a unifiedtype-2 fuzzy framework.
Journal ArticleDOI
Impulsive Effects on Quasi-Synchronization of Neural Networks With Parameter Mismatches and Time-Varying Delay
Ze Tang,Ju H. Park,Jianwen Feng +2 more
TL;DR: According to the extended formula for the variation of parameters with time-varying delay, precisely exponential convergence rates and quasi-synchronization errors are obtained, respectively, in view of different types of impulsive effects.
Journal ArticleDOI
Sliding mode control of continuous-time Markovian jump systems with digital data transmission
TL;DR: In this study, a novel quantized sliding mode control design method is developed to stabilize the closed-loop systems in the presence of both state and input quantization and unknown time-varying actuator faults.
Journal ArticleDOI
Fault-Tolerant Resilient Control For Fuzzy Fractional Order Systems
TL;DR: A new set of linear matrix inequalities are derived by using the indirect Lyapunov approach, which are the sufficient conditions for robust asymptotic stability of the closed-loop system.
References
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Journal ArticleDOI
Fuzzy identification of systems and its applications to modeling and control
T. Takagi,Michio Sugeno +1 more
TL;DR: A mathematical tool to build a fuzzy model of a system where fuzzy implications and reasoning are used is presented and two applications of the method to industrial processes are discussed: a water cleaning process and a converter in a steel-making process.
Journal ArticleDOI
A control engineer's guide to sliding mode control
TL;DR: An accurate assessment of the so-called chattering phenomenon is offered, which catalogs implementable sliding mode control design solutions, and provides a frame of reference for future sliding Mode control research.
Journal ArticleDOI
A novel adaptive-gain supertwisting sliding mode controller: Methodology and application
TL;DR: A novel super-twisting adaptive sliding mode control law is proposed for the control of an electropneumatic actuator using dynamically adapted control gains that ensure the establishment, in a finite time, of a real second order sliding mode.
Journal ArticleDOI
Reliable Fuzzy Control for Active Suspension Systems With Actuator Delay and Fault
TL;DR: The Takagi-Sugeno (T-S) fuzzy model approach is adapted with the consideration of the sprung and the unsprung mass variation, the actuator delay and fault, and other suspension performances to design a reliable fuzzy H∞ controller for active suspension systems with actuatordelay and fault.
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