The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper presents the application of a two-degree-of-freedom (2DOF) control of an electrodynamic shaker. The characteristics of a shaking system are considered to be nonlinear and variable because of the influence of the test piece. In order to compensation for this problem, the influence of the disturbance force needs to be suppressed. The controller is designed using μ-synthesis by considering...
This study is concerned with the synthesis of periodically time-varying memory state-feedback controllers (PTVMSFCs) for discrete-time linear systems. In our preceding studies, we have already established a solid theoretical basis for the LMI-based (robust) H∞-PTVMSFCs synthesis, and the goal of this paper is to extend those results to the H2 performance criterion. In the H2 case, the main difficulty...
In this paper, an adaptive neural sliding mode controller (ANSMC) is proposed as an asymptotically stable robust controller for a class of Control Affine Nonlinear Systems (CANSs) with unknown dynamics. In the proposed method a Control Affine Radial Basis function Network (CARBFN) is developed for online identification of CANSs. A recursive algorithm based on Extended Kalman Filter (EKF) is used for...
Traditional Ractional-order PIλDμ controller is more flexible and gives an opportunity to better adjust the dynamical properties of a fractional-order control system than the traditional PID controller. However, the selection of controller parameters is more difficult for fractional-order PIλ Dμ controller which introduces additional two parameters λ and μ. For better adaptive capacity of system uncertainty...
The tracking control problem of Duffing-Holmes chaotic systems containing unknown parameters is studied. Based on the backstepping design method, special barrier functions are employed in Lyapunov synthesis. The derived adaptive robust controller guarantees the closed-loop system globally uniformly ultimate bound, and the tracking error is convergent to a small neighborhood of zero. In addition, the...
In this paper, the stability of a class of generalized interval systems is studied. For the uncertainties of the interval system by itself, when we study, we have three processes to flow. Firstly, the generalized interval systems should be converted into the generalized uncertain systems; secondly, the generalized Lyapunov function is employed to study the stability of the generalized interval systems...
The problem of robustly control for linear systems with state and input-time-varying delay is studied in terms of integral inequality. The design method of control law with time-delay dependent condition is derived for this class of uncertain system based on Linear Matrix Inequality (LMI) through the conformation of appropriate Lyapunov-Krasovskii function. The time-delay dependent condition of state-feedback...
Conventional sliding mode controllers have been successfully applied to control various types systems including the Stewart platform manipulator. But chattering, lack of robustness in the reaching phase and sensitivity to unmatched uncertainty are the basic problems which delayed their practical implementations. To avoid the non robust reaching phase to compensate unmatched uncertainties, integral...
In this paper, a novel adaptive neural network control scheme is put forward for a class of SISO nonlinear systems with backlash-like hysteresis, where the hysteresis is modeled by a differential equation in the presence of bounded external disturbances. By using the merit of tangent function and the method of minimal parameterization, the proposed designs need no requirements for the knowledges of...
This paper presents an impulsive control scheme to realize global asymptotical stability of a class of discrete chaotic systems with parameter uncertainties. Some new and less conservative impulsive stabilization criteria are established by using the method of Lyapunov functions, where both nonuniform and uniform impulsive intervals are used. When uniform impulsive interval and constant control gain...
Applying mathematics model of nonlinear ship main engine control and the wave disturbances to the design of electronic governor, and considering the uncertainty of model parameters and the characteristics of servo-system makes the model have the unmatched uncertainty correspondingly. In order to solve the difficulty,an active disturbance rejection nonlinear control strategy is proposed,and a ship...
Internet congestion control system is complex, uncertainty and nonlinear. An Improved PID Neural Network (I-PID-NN) controller with changing integration rate and incomplete derivation in hidden layer is applied in active queue management (AQM). The adjustment of neural network parameters are implemented by using gradient algorithm as learning the rules, and the probability of packet loss can achieve...
The adaptive backstepping nonlinear speed controller of permanent magnet synchronous servo motor (PMSSM) with uncertain parameters is designed in this paper. The inertia, viscous friction coefficient and load torque which are vulnerably affected by external disturbances can be estimated in real time. A second-order filter is adopted to reduce the speed overshoot in the starting course of PMSSM. On...
Based on combination of an optimal PI type iterative learning controller and projection like adjusting algorithm, an adaptive iterative learning control scheme is presented for repetitive control of uncertain systems. This adaptive iterative learning controller is designed without any priori knowledge of system parameters. The convergence of the presented scheme is analyzed and its convergence condition...
A multivariate self-adapting decoupling control method based on CMAC and PID was proposed in this paper. The control strategy utilizes PID controller and CMAC to combine a composite controller. Using the composite controller, the strong coupled time-varying system can be decoupled and controlled easily. The doubly fed hydro-generator system is a novel type of hydraulic generation system. Considering...
In this manuscript, we propose an adaptive fuzzy logic controller for a DC-DC boost converter with parametric and load uncertainties. The control strategy aims to achieve accurate voltage tracking with unknown dynamics, highly parameter and load variations, and no current sensing. Therefore, robustness to uncertainties of large magnitudes is achieved without the inner current control loop, which reduces...
In this paper, the problem of fault-tolerant control is considered for a class of uncertain continuous Large-scale systems with time-delays by using Lyapunov method. The interconnected matrices can be uncertain and are assumed to be bounded. The time-delays under consideration can be arbitrary unknown and varying but bounded. The analysis result of robust control is obtained for the systems based...
An observer-based robust H∞ control for a class of linear uncertain neutral-type systems is presented in this paper. Based on Lyapunov-Krasovskii theory, a delay-dependent condition for the existence of a linear full-order robust H∞ controller is constructed. By the singular value decomposition (SVD) approach, the result can be expressed in terms of a set of strict linear matrix inequalities (LMIs)...
In this paper, we propose a design method for the uncertain rotor-sliding-bearing system. Firstly, the nonlinear terms in the nonlinear model of rotor-sliding -bearing system are regarded as energy bounded disturbance. Then, based on H∞ control theory, a novel parameter design method in term of LMI (Linear Matrix Inequality) is given for the rotor-sliding-bearing system. Finally, the simulation results...
In the paper, new results on H∞ control of impulsive systems with quantized feedback are presented. Applying the Lyapunov function theory, several sufficient conditions of the H∞ control problems are established for several classes of impulsive systems including linear uncertain impulsive system, linear impulsive system with nonlinear uncertainties, and impulsive system with decaying exponential,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.