This paper investigates the problem of stabilization of time delay linear singular systems subject to actuator saturation. A polytopic approach is used to describe the saturation behavior. By using an augmented Lyapon...
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This document aims to solve the parametric estimation problem of nonlinear time-varying systems modeled by Wiener-Hammerstein models (W-H) with unknown time-varying parameters. A recursive instrumental variable estima...
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ISBN:
(纸本)9781509034086
This document aims to solve the parametric estimation problem of nonlinear time-varying systems modeled by Wiener-Hammerstein models (W-H) with unknown time-varying parameters. A recursive instrumental variable estimation method is developed in order to estimate the parameters of the considered blocks-oriented models despite the existence of a correlated noise with observations. The estimation method is based on the least square technique. Furthermore, an example is devoted to appear and justify the availability of the detailed and proposed method.
This paper proposes a higher order sliding mode controller for uncertain robot manipulators. The motivation for using high order sliding mode mainly relies on its appreciable features, such as high precision and elimi...
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This paper proposes a higher order sliding mode controller for uncertain robot manipulators. The motivation for using high order sliding mode mainly relies on its appreciable features, such as high precision and elimination of chattering in addition to assure the same performance of conventional sliding mode like robustness. Instead of a regular control input, the derivative of the control input is used in the proposed control law. The discontinuity in the controller is made to act on the time derivative of the control input. The actual control signal obtained by integrating the derivative control signal is smooth and chattering free. The stability and the robustness of the proposed controller can be easily verified by using the classical Lyapunov criterion. The proposed controller is tested to a three-degree-of-freedom robot to prove its effectiveness.
In nonlinear system identification, block-oriented models such as Wiener and Hammerstein models have the advantage that they are quite simple to understand and easy to use. This paper presents a structural estimation ...
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In nonlinear system identification, block-oriented models such as Wiener and Hammerstein models have the advantage that they are quite simple to understand and easy to use. This paper presents a structural estimation of the Wiener-Hammerstein model, which is a block-oriented model where a static nonlinear system is surrounded by two linear dynamics at its input and output. The first part concerns the estimation of the order that is made by the ratio method of determining (DR). The second part describes the problem of estimating the delay. In this sense, estimation method is proposed namely estimation algorithm RLSVT. The analytical results are validated by numerical simulation examples.
A maximum power point tracking method based on fast terminal sliding mode control (FTSMC) for photovoltaic systems is introduced in this work. The control scheme contains two loops: the first achieves the maximum powe...
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ISBN:
(纸本)9781509034086
A maximum power point tracking method based on fast terminal sliding mode control (FTSMC) for photovoltaic systems is introduced in this work. The control scheme contains two loops: the first achieves the maximum power point (MPP) searching via an incremental conductance algorithm which provides the reference voltage (MPV). The second loop performs the regulation of the operating point to the reference MPV. Simulations results have proved the efficiency of the proposed method.
This communication deals with the explicit scheme of robust self-tuning regulation of a class of stochastic systems, which can be described by the input-output Auto-Regressive Auto-Regressive Moving Average with exoge...
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This communication deals with the explicit scheme of robust self-tuning regulation of a class of stochastic systems, which can be described by the input-output Auto-Regressive Auto-Regressive Moving Average with exogenous (ARARMAX) mathematical model with unknown and time-varying parameters in presence of unmodelled dynamics. This explicit regulation scheme is based on the proposed modified filtering recursive least squares algorithm with dead zone (m-F-RLS) in the step of estimation. Numerical simulation results of the developed explicit schemes of minimum variance self-tuning regulator, which are applied to the climate control in building, are given.
This paper deals with the trajectory tracking control problem of nonholonomic wheeled mobile robot, in the presence of external disturbances and parameters uncertainties. The computed torque controller may be used to ...
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This paper deals with the trajectory tracking control problem of nonholonomic wheeled mobile robot, in the presence of external disturbances and parameters uncertainties. The computed torque controller may be used to make convergence of WMR on desired trajectory. Due to the weak of performance against external disturbances, a sliding mode controller is presented. The stability of the controllers is proven by utilizing the Lyapunov stability theory.
This paper deals with the problem of state estimation for perturbed output nonlinear systems. A multiple models approach is used to describe such class of systems. Then a structure of Lyapunov based sliding mode multi...
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ISBN:
(纸本)9781467392358
This paper deals with the problem of state estimation for perturbed output nonlinear systems. A multiple models approach is used to describe such class of systems. Then a structure of Lyapunov based sliding mode multiple observer is presented. The stability proof of the observer is ensured by a suitable choice of estimation gains which are solutions of a set Linear Matrix Inequalities(LMI). The simulation results for the denitrification application demonstrate the effectiveness of the developed estimator scheme.
This paper presents a comparison between adaptive input-output linearization and adaptive fuzzy sliding mode control (FSMC) for induction motor. At first, we describe the adaptive linearization control method, which c...
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ISBN:
(纸本)9781467392358
This paper presents a comparison between adaptive input-output linearization and adaptive fuzzy sliding mode control (FSMC) for induction motor. At first, we describe the adaptive linearization control method, which consists in the cancelling of the nonlinearities and decoupling between speed and flux of the system when Rr and TL are unknowns constants. The adaptive sliding mode control, which is insensitive to parameter variations and external disturbances. The substituting of discontinuous control by fuzzy system can be solution for the chattering problem and minimize the control effort.
One-Sided Lipschitz (OSL) fractional order modeling is a top choice for solving the stabilization issue of nonlinear systems. Despite numerous studies on the subject, there remains a gap in understanding when it comes...
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