作者：
Halima, D. B.Chtourou, M.Intelligent Control
Optimization and Design of Complex Systems (ICOS) Department of Electrical Engineering National School of Engineers of Sfax ENIS P.B.W. 3038 Sfax Tunisia
In this work, we present a state feedback adaptive fuzzy control method, applied to the stabilization of a nonlinear system whose mathematical model is unknown or/and with varying time parameters. The synthesis of the...
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In this work, we present a state feedback adaptive fuzzy control method, applied to the stabilization of a nonlinear system whose mathematical model is unknown or/and with varying time parameters. The synthesis of the control law is based on fuzzy models developed by a local description of the considered system's dynamics. Therefore, two steps, at each time, are necessary to the adaptive control of such system. The first one consists in estimating every local model parameters, using a gradient method as parameter's adjustment method. The second one consists in the computation, of the control law based on the classical methods applied for the linear system control as the state feedback control. The stability of the proposed adaptive control method is discussed.
Dear editor,Fuzzy models have been widely employed in various fields, such as complex industrial process modeling, classification, function approximation, and time series prediction. Extracting fuzzy rules is very imp...
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Dear editor,Fuzzy models have been widely employed in various fields, such as complex industrial process modeling, classification, function approximation, and time series prediction. Extracting fuzzy rules is very important as they determine the capabilities of the fuzzy model. In recent years, data-based methods such as fuzzy clustering, genetic algorithm, and neural networks [1–3], have been pro-
This paper deals with the problem of intermittent control based on dynamic event-triggered mechanism (DETM) for nonlinear hybrid stochastic delayed systems (NHSDSs) with measurement error. The DETM and intermittent co...
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Piezoelectric actuator(PEA) is widely applied in micro/nano positioning system. However, its inherent hysteresis limits its application. Modeling of hysteresis plays an important role in solving this problem. Linear p...
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Precision management of agricultural systems, aiming at optimizing profitability, productivity and sustainability, comprises a set of technologies including sensors, information systems, and informed management, etc. ...
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作者：
Xiongbo WanChaoling ZhangFan WeiChuan-Ke ZhangMin WuIEEEthe School of Automation
China University of Geosciencesthe Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systemsand the Engineering Research Center of Intelligent Technology for Geo-ExplorationMinistry of EducationWuhan 430074China
This article focuses on dynamic event-triggered mechanism(DETM)-based model predictive control(MPC) for T-S fuzzy systems.A hybrid dynamic variables-dependent DETM is carefully devised,which includes a multiplicative ...
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This article focuses on dynamic event-triggered mechanism(DETM)-based model predictive control(MPC) for T-S fuzzy systems.A hybrid dynamic variables-dependent DETM is carefully devised,which includes a multiplicative dynamic variable and an additive dynamic *** addressed DETM-based fuzzy MPC issue is described as a “min-max” optimization problem(OP).To facilitate the co-design of the MPC controller and the weighting matrix of the DETM,an auxiliary OP is proposed based on a new Lyapunov function and a new robust positive invariant(RPI) set that contain the membership functions and the hybrid dynamic variables.A dynamic event-triggered fuzzy MPC algorithm is developed accordingly,whose recursive feasibility is analysed by employing the RPI *** the designed controller,the involved fuzzy system is ensured to be asymptotically *** examples show that the new DETM and DETM-based MPC algorithm have the advantages of reducing resource consumption while yielding the anticipated performance.
Considering the uncertainties parameters and unknown dynamics of permanent-magnet synchronous motors in real applications,a composite controller strategy for electromechanical actuator is proposed in this *** composit...
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ISBN:
(纸本)9781479947249
Considering the uncertainties parameters and unknown dynamics of permanent-magnet synchronous motors in real applications,a composite controller strategy for electromechanical actuator is proposed in this *** composite strategy consists of a disturbances observer based on linear extended state observer that suppresses disturbances by feedforward compensation and a Lyapunov stability-based position controller.A non-singular terminal sliding mode position controller is used here due to its good performance,under which state errors would converge to zero in finite ***,special forms of load torque,hinge moment,and sinusoidal torque disturbances have been taken into consideration in this *** proposed control strategy is verified via *** performance with respect to position tracking and robustness to load disturbances and parametric uncertainties of the motor have been demonstrated.
Force reflection methods are widely used in teleoperation with force sensors on slave manipulator. However, force sensors would impair manipulator structure and may be installed or maintained difficultly on slave site...
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ISBN:
(纸本)9781467374439
Force reflection methods are widely used in teleoperation with force sensors on slave manipulator. However, force sensors would impair manipulator structure and may be installed or maintained difficultly on slave site. Additionally, in some tasks operator pays more attention to control the exerted force on environment than to fell the reflection force. Considering these factors, a force sending method is proposed in this paper with force sensors installed only on master manipulator. Adjusted virtual force is provided to operator on master site. Operator force sending and slave manipulator position tracking are achieved without conflict on slave site. Stability analysis is presented based on ISS(input-to-state stability) method and numerical simulations are given to show the effectiveness.
There being ample research in cluster-based Media Access control(MAC) protocols for Mobile Ad Hoc Networks (MANETs) recently makes it necessary having a stable clustering algorithm developed for *** in MANETs often ha...
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ISBN:
(纸本)9781479900305
There being ample research in cluster-based Media Access control(MAC) protocols for Mobile Ad Hoc Networks (MANETs) recently makes it necessary having a stable clustering algorithm developed for *** in MANETs often have highly mobility and sometimes present the characteristic of group *** the innovation perspective,we proposed a clustering algorithm by employing Learning Automata(LA) in a distributed manner considering nodes distance and nodes mobility to produce stable *** utilizing LA nodes can make intelligent and adaptive decisions based on the local information collected in the past *** to another mobility based clustering algorithm,simulation results present us the superior performance of the proposed algorithm.
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