Notice of Violation of IEEE Publication Principles: Dissipativity-Based Fuzzy Integral Sliding Mode Control of Continuous-Time T-S Fuzzy Systems

Wang, Yueying; Shen, Hao; Karimi, Hamid Reza; Duan, Dengping

doi:10.1109/tfuzz.2017.2710952

Cited by 328 publications

(144 citation statements)

References 39 publications

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“…SMC deals system uncertainty and external disturbance effectively . It is always a difficult task to stabilize the system in the presence of external disturbance.…”

Section: Controllers Designmentioning

confidence: 99%

“…Since then, SMC has been a more effective control method to handle mismatches in the system with strong robustness. [3][4][5][6] SMC techniques contain two phases: (1) A sliding surface is considered on which the states of the system provides desirable performance; and (2) using Lyapunov stability criterion and SMC theory, a control law should be designed such that the states of the system slides on the sliding surface. 7 Both these phases make the system to guarantee the desired performance.…”

Section: Introductionmentioning

confidence: 99%

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Disturbance observer–based adaptive boundary layer sliding mode controller for a type of nonlinear multiple‐input multiple‐output system

Gurumurthy

Das

2019

Intl J Robust & Nonlinear

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Summary In this paper, a disturbance observer–based adaptive boundary layer sliding mode controller (ABLSMC) is proposed to compensate external disturbance and system uncertainty for a class of output coupled multiple‐input multiple‐output (MIMO) nonlinear systems. To show the effectiveness of the proposed ABLMSC, a traditional adaptive sliding mode controller (ASMC) is also designed. The stability of the closed‐loop system is examined by using the Lyapunov stability approach. The proposed control approach is implemented for a class of nonlinear output coupled MIMO systems. For real‐time validation, a coupled tank system is considered for study. Finally, simulation and real‐time results show that the proposed ABLMSC gives better performance such as reduced chattering and energy efficiency than that of the ASMC and some reported works in the literature.

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“…SMC deals system uncertainty and external disturbance effectively . It is always a difficult task to stabilize the system in the presence of external disturbance.…”

Section: Controllers Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Disturbance observer–based adaptive boundary layer sliding mode controller for a type of nonlinear multiple‐input multiple‐output system

Gurumurthy

Das

2019

Intl J Robust & Nonlinear

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“…The self‐learning ability of these methods allows optimisation and effective operation in systems with uncertain parameters. Wang introduced a new dissipativity‐based fuzzy integral sliding mode control (FISMC) scheme. This scheme utilises a fuzzy integral switching surface function and the derived conditions for asymptotic stabilisation of the sliding mode dynamics.…”

Section: Introductionmentioning

confidence: 99%

Integration of Derivative Control on SIPIC in Motor Speed Control

Hoo

Wong

2018

Asian Journal of Control

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The proportional–integral–derivative (PID) controller is the most commonly used controller in control application due to its simplicity. However, the control output may exceed the plant input limit which eventually deteriorates the system performance. This is known as a windup phenomenon, which causes large overshoot, long settling time and instability in the control system. Various anti‐windup methods have been introduced to overcome the windup phenomenon such as the Steady‐State Integral Proportional‐Integral Controller (SIPIC). Due to the coupling of the proportional, integral and derivative tuning gains, it is difficult to tune for non‐overshoot and short settling time to coexist in a PID. With decoupling, a greater range of tuning gains can be applied to control the rising slope without disturbing the damping state. Currently, SIPIC with decoupling effect has only been studied for the proportional and integral tuning gains. This paper presents the effect of integrating derivative control on SIPIC in motor speed control. SIPIC+D shows better speed control on a direct current motor under no‐load and loading conditions compared with other existing anti‐windup added with derivative control.

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“… focused on the problem of stabilization of sampled‐data neural‐ network‐based systems with state quantization. For more related works on these aspects, we refer the readers to and the references cited therein.…”

Section: Introductionmentioning

confidence: 99%

“…For example, Xu et al [3] studied the exponential stability of almost periodic solutions for memristor-based neural networks with distributed leakage delays, Balasubramaniam et al [4] investigated the existence and global asymptotic stability of fuzzy cellular neural networks with time delay in the leakage term and unbounded distributed delays, Balasubramaniam Manuscript et al [5] discussed the global asymptotic stability of stochastic fuzzy cellular neural networks with multiple time-varying delays, Wang et al [39] focused on the problem of stabilization of sampled-data neuralnetwork-based systems with state quantization. For more related works on these aspects, we refer the readers to [6][7][8][9][21][22][23][24][25][36][37][38][41][42][43] and the references cited therein.…”

Section: Introductionmentioning

confidence: 99%

Effect of Proportional Delays and Continuously Distributed Leakage Delays on Global Exponential Convergence of CNNS

Chen

2018

Asian Journal of Control

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This paper is concerned with a class of cellular neural networks (CNNs) with proportional delays and continuously distributed leakage delays. Using the differential inequality theory, a set of sufficient conditions which guarantee the exponential convergence of all solutions of CNNs with proportional delays and continuously distributed leakage delays are derived. Computer simulations are carried out to verify our theoretical findings. The obtained results of this paper are new and complement some previous studies.

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Notice of Violation of IEEE Publication Principles: Dissipativity-Based Fuzzy Integral Sliding Mode Control of Continuous-Time T-S Fuzzy Systems

Cited by 328 publications

References 39 publications

Disturbance observer–based adaptive boundary layer sliding mode controller for a type of nonlinear multiple‐input multiple‐output system

Disturbance observer–based adaptive boundary layer sliding mode controller for a type of nonlinear multiple‐input multiple‐output system

Integration of Derivative Control on SIPIC in Motor Speed Control

Effect of Proportional Delays and Continuously Distributed Leakage Delays on Global Exponential Convergence of CNNS

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