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2021 Index IEEE Transactions on Cybernetics Vol. 51
2021
IEEE Transactions on Cybernetics
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Hu, S., +, TCYB Sept. 2021 4591-4601 Constrained Output-Feedback Control for Discrete-Time Fuzzy Systems With Local Nonlinear Models Subject to State and Input Constraints. ...
Feng, G., +, TCYB Constrained Output-Feedback Control for Discrete-Time Fuzzy Systems With Local Nonlinear Models Subject to State and Input Constraints. ...
doi:10.1109/tcyb.2021.3139447
fatcat:myjx3olwvfcfpgnwvbuujwzyoi
Robust State Estimation for T–S Fuzzy Markov Jump Systems
2023
Mathematics
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Firstly, different from the traditional T–S fuzzy modeling method, the deviation of the linear system approaching a nonlinear system is considered, which is represented as a model error in system modeling ...
The uncertain nonlinear system under consideration is represented by the Takagi–Sugeno (T–S) fuzzy model because it is difficult to describe. ...
Reference [11] studied the problem of robust filtering for discrete-time 2-D T-S fuzzy systems with uncertainties and random mixed delays. ...
doi:10.3390/math11020487
fatcat:3issyhfztrgbzat32qmkcgycau
2021 Index IEEE Transactions on Systems, Man, and Cybernetics: Systems Vol. 51
2021
IEEE Transactions on Systems, Man & Cybernetics. Systems
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
Local Stabilization of Continuous-Time T-S Fuzzy Systems With Partly Measurable Premise Variables and Time-Varying Delay. ...
., +, TSMC Feb. 2021 712-720 Impulsive Stabilization of Nonlinear Time-Delay System With Input Sat-Local Stabilization of Continuous-Time T-S Fuzzy Systems With Partly Measurable Premise Variables and ...
doi:10.1109/tsmc.2021.3136054
fatcat:b5hcsfwjw5hllpenqmaq6wpke4
Decentralized observer-based fuzzy control for interconnected networked control systems with quantization and random packets dropout
2018
2018 IEEE International Conference on Industrial Technology (ICIT)
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The resulting discrete-time (TS) fuzzy system model Si shown inFig. 1, with quantizer and data losses between the controller and the actuator, is inferred as the weighted average of the local models of ...
Much existing work considers interconnected systems with nonlinearity. A class of nonlinear interconnected systems approximated by a (TS) fuzzy model is investigated in [14] . ...
doi:10.1109/icit.2018.8352165
dblp:conf/icit2/LatrechCBG18
fatcat:h67bpt42jnbh5hhsbvo3p5s6hm
Piecewise observers of rectangular discrete fuzzy descriptor systems with multiple time-varying delays
2016
Journal of Industrial and Management Optimization
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This paper investigates piecewise observer design for rectangular discrete fuzzy descriptor systems with multiple time-varying delays. ...
Via a series of simple transformations, the considered rectangular descriptor plants are converted into standard ones with multiple time-varying delays. ...
Reference [10] has focused on output-feedback stabilizing problem of discrete-time systems with time-varying delays. ...
doi:10.3934/jimo.2016.12.1535
fatcat:cq5ttw7n4zgqrae76cjgytmzz4
Finite-Time Pinning Synchronization Control for T-S Fuzzy Discrete Complex Networks with Time-Varying Delays via Adaptive Event-Triggered Approach
2022
Entropy
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This paper is concerned with the adaptive event-triggered finite-time pinning synchronization control problem for T-S fuzzy discrete complex networks (TSFDCNs) with time-varying delays. ...
In order to accurately describe discrete dynamical behaviors, we build a general model of discrete complex networks via T-S fuzzy rules, which extends a continuous-time model in existing results. ...
With regard to delayed Markovian jump complex networks in [30] , the T-S fuzzy model was also applied to describing the system nonlinearities. ...
doi:10.3390/e24050733
pmid:35626618
pmcid:PMC9141103
fatcat:ug3uwi3ayvfnnmo4b2upu6av6y
Delay-dependent Robust Stabilization and H∞ Control for Uncertain Stochastic T-S Fuzzy Systems with Discrete Interval and Distributed Time-varying Delays
2013
International Journal of Automation and Computing
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In this paper, delay-dependent robust stabilization and H∞ control for uncertain stochastic Takagi-Sugeno (T-S) fuzzy systems with discrete interval and distributed time-varying delays are discussed. ...
The purpose of the robust stochastic stabilization problem is to design a memoryless state feedback controller such that the closed-loop system is mean-square asymptotically stable for all admissible uncertainties ...
Robust stability, stabilization and H∞ controller design of discrete and distributed time delays with or without fuzzy systems are considered [17−19] . ...
doi:10.1007/s11633-013-0692-2
fatcat:udw5oj46xzghpfgvquwubjnc5u
Fuzzy-Model-Based Robust Fault Detection With Stochastic Mixed Time Delays and Successive Packet Dropouts
2012
IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)
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This paper is concerned with the networkbased robust fault detection problem for a class of uncertain discrete-time T-S fuzzy systems with stochastic mixed timedelays and successive packet dropouts. ...
A sequence of stochastic variables is introduced to govern the random occurrences of the discrete time-delays, distributed time-delays and successive packet dropouts, where all the stochastic variables ...
of local linear models through fuzzy membership functions. ...
doi:10.1109/tsmcb.2011.2163797
pmid:21926025
fatcat:rxe2kmrm5fbc5g3wqblznlz2oi
Stability analysis of nonlinear multivariable Takagi-Sugeno fuzzy control systems
1999
IEEE transactions on fuzzy systems
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The proposed method is based on the formulation of a Lur'e problem from the original structure of a T-S fuzzy system with a fuzzy controller. ...
This paper points out how the nonlinearities involved in multivariable Takagi-Sugeno (T-S) fuzzy control systems could originate complex behavior phenomena, such as multiple equilibrium points or limit ...
ACKNOWLEDGMENT The authors wish to thank the Department of Automatic Control of the Lund Institute of Technology, Lund, Sweden, for the collaboration and development of the module for searching piecewise-quadratic ...
doi:10.1109/91.797976
fatcat:rv4u4bclkffhfhq7bczyei33tm
Robust H∞ NLOS-Tolerant Localization Filter and NLOS-Tolerant Remote Reference Tracking Control of Mobile Robot in Wireless Sensor Networks
2021
IEEE Access
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matrix; l2 [0, tT ] = {v(t) : RT → Rn k the following discrete-time dynamical model with external
(Σtt=0
T
v T (t)v(t) < ∞)}; eig(A) denotes the ...
The ith rule of T-S model for αi (ε(t)), i = 1, ..., J.
nonlinear localization system of mobile robot in (6) is of the ...
doi:10.1109/access.2021.3133894
fatcat:p5irec2ylrfarb242lvvpx5uxy
Stochastic Robust H∞ Decentralized Network Formation Tracking Control of Large-Scale Team Satellites via Event-Triggered Mechanism
2022
IEEE Access
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model is employed to interpolate several local linearized systems to approximate nonlinear satellite systems. ...
INDEX TERMS Network control system, linear matrix inequalities, reference tracking control, T-S fuzzy interpolation technique. ...
Therefore, the T-S fuzzy model is introduced to approximate the stochastic nonlinear satellite system in (22) with interpolating several local stochastic linear systems. ...
doi:10.1109/access.2022.3180166
fatcat:zoknyfpil5b63dpsbp5fiqbypm
Neural Network NARMA Control of a Gyroscopic Inverted Pendulum
2008
Engineering Letters
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The objective herein is to demonstrate the feasibility of a real-time digital control of an inverted pendulum for modeling and control, with emphasis on nonlinear auto regressive moving average based neural ...
In using a NARMA neural network the control laws are nonlinear and online adaptation of the model is possible to capture un-modeled or time-varying dynamics. ...
One standard model that has been used to represent general discrete-time nonlinear systems is the nonlinear autoregressive moving average (NARMA) model: )] 1 ( ),..., 1 ( ), ( ), 1 ( ),..., 1 ( ), ( F[ ...
dblp:journals/engl/ChetouaneD08
fatcat:dccsosx4ejgcpbkkdpdobkoia4
Fuzzy Finite Memory State Estimation for Electro-hydraulic Active Suspension Systems
2021
IEEE Access
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The main concept of the T-S fuzzy technique is to approximate a nonlinear system using a fuzzy blending of local dynamics [18] , [19] . ...
A batch-form FFM estimator for a linear discrete time-varying system was designed and applied to a nonlinear suspension system described as a fuzzy model. ...
doi:10.1109/access.2021.3096184
fatcat:s77pnvl62vhzteraoubld5rdiu
Robust reference tracking and Load rejection on Non-linear system using Controllers
2021
GAZI UNIVERSITY JOURNAL OF SCIENCE
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Highlights • This paper focuses on different control topologies of power converter • A Non-Linear system was investigated in steady state and transient region. • Proposed system was regulated the DC output ...
Linearization is a method for assessing the local stability of an equilibrium point of a system of nonlinear differential equations or discrete dynamical systems [20] . ...
In the case of a practical system, feedback control loops in closed-loop systems have time delays. ...
doi:10.35378/gujs.947882
fatcat:h2gg6lu5azc7tngeohw7qnmnqa
Exponential Stability of Coupled Systems on Networks with Mixed Delays and Reaction-Diffusion Terms
2014
Abstract and Applied Analysis
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This paper is concerned with the stability analysis issue for coupled systems on networks with mixed delays and reaction-diffusion terms (CSNMRs). ...
Two different kinds of sufficient criteria are derived in the form of Lyapunov function and coefficients of the system, respectively. ...
Tak, “Linear matrix inequality approach Communications in Nonlinear Science and Numerical Simula-
to local stability analysis of discrete-time Takagi-Sugeno fuzzy tion, vol ...
doi:10.1155/2014/780387
fatcat:6hnuvx4p3jdarc3cusaiulv37q
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