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An adaptive iterative learning controller (ILC) is proposed for a class of nonlinear systems with hysteresis described by Bouc-Wen model. First, the property of Bouc-Wen mode is discussed and the upper bound is derived .Then an iterative learning controller is proposed through the Lyapunov-like function. This controller can eliminate the oscillation and overshoot caused by hysteresis effectively....
In this paper, we focus on the stabilization problem for a class of second-order uncertain nonlinear systems via the sampled-data output feedback, where the systems may contain strong nonlinearities. A characteristic model is developed by virtue of some constructive modeling method, and then the golden-section adaptive control based on this characteristic model is given. Also, the closed-loop characteristic...
Hysteresis nonlinearity in the piezoelectric material could decrease control performance of piezoelectric cantilever beam. A control strategy that combines feedforward inverse compensator with single neuron adaptive PID controller is proposed in this paper. A Hammerstein dynamic hysteresis model for flexible piezoelectric cantilever beam is given. In order to improve the control accuracy, a single...
Aimed at the characteristics of nonlinear, strong coupling, multi-variable and natural unstable for inverted pendulum, based on information fusion technology, the state feedback gain matrix with quadratic optimal performance index is adopted as fusion function to reduce dimension of the outputs vector for double inverted pendulum, and decrease the difficulty of controller design. On this basis, a...
The terminal guided mortar projectile aerodynamic layout type and characteristic is elaborated in this article. To increase the flying distance, it was combined with the actual situation of mortars aerodynamic layout. “-+” type configurations is selected. A pair of “a” triangle-shaped foldable wing is arrange in missile body. The method of AИИИ is used to calculate the air of drag coefficient and...
This paper presents a nonlinear internal model construction method by introducing certain coined Luenberger observer-like trial samples and further using Lyapunov's auxiliary theorem for confirmation. Specifically, it comes up with several novel types of parameterized nonlinear internal models with certain output in a constructive fashion, distinguishing themselves from existing ones proposed in the...
In this paper, the problem of robust tracking control is investigated. Simulation on the longitudinal model of a flexible air-breathing hypersonic vehicle (FAHV) with actuator saturation and uncertainties is conducted. In order to guarantee that the velocity and altitude to track their reference commands, an adaptive anti-up control strategy is presented based on sliding mode control method. The adaptive...
This paper discusses a novel fault diagnosis and tolerant control problem for a class of non-Gaussian stochastic distribution systems with unknown fault based on two-step fuzzy modeling. Following square fuzzy logic approximation for the output probability density functions (PDFs) of non-Gaussian processes, the T-S weight models are employed to describe the nonlinear relations between the fuzzy weight...
In this paper, the modeling and vibration control problem of an axially moving belt with high acceleration/deceleration under unknown disturbances are addressed. The dynamic model of the belt system is represented by a nonhomogeneous hyperbolic partial differential equation and two ordinary differential equations. Boundary control with disturbance adaption is developed to stabilize the transverse...
This paper focuses on adaptive neural control of robot manipulator with unknown system dynamics under the limitation of prescribed performance. A performance function is introduced to express the prescribed constraints of tracking errors. Subsequently, a performance transformation method is proposed to solve the problem of the prescribed performance. The unknown dynamics of robot are approximated...
In this paper, we consider a general and practical complex network model, in which there exist couplings with and without time delays, and the coupled functions among nodes are also nonlinear. For this network model, we investigate its finite-time synchronization by designing some general static and adaptive controllers respectively. Using the finite-time stability theory, some useful finite-time...
In this paper, the problem of adaptive tracking control for a class of linear continuous time-invariant systems subject to constrained actuators is investigated. A novel control strategy is developed to ensure the bounded tracking of the systems. Based on Lyapunov stability theory, a result that indicates the tracking bound can be reduced as small as desired via adjusting control parameters is obtained...
This paper tackles the tracking control of flexible hypersonic vehicle (FHV) with mismatched uncertainties by utilizing the adaptive nested terminal sliding mode control method. The controllers of velocity loop and altitude loop are designed separately based on the control-oriented model which is obtained by simplification of the FHV model. It's noted that the previous sliding mode control is sensitive...
As a nonlinear and time-varying complex dynamic system, wastewater treatment process (WWTP) is difficult to be controlled. In this paper, to control the dissolved oxygen (DO) concentration in a WWTP, a growing and pruning recurrent fuzzy neural network (GPRFNN)-based control system is proposed which contains RFNN controllers and RFNN identifier. The identifier is used to model the WWTP with an adaptive...
For the ultralow altitude airdrop decline stage, many factors such as actuator nonlinearity, the uncertain atmospheric disturbances and model unknown nonlinearity affect the precision of trajectory tracking, A robust adaptive neural network dynamic surface control method is proposed. The ultra-low altitude airdrop longitudinal dynamics with actuator input nonlinearity is established, the neural network...
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