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Aiming at the electro-hydraulic servo system with mismatched uncertainties, an adaptive backstepping neural network position controller design is presented. By applying backstepping design strategy and online approaching uncertainties with RBF neural networks, a nonlinear controller for a hydraulic servo-system is developed based on Lyapunov stability theory, the problem of extreme expanded operation...
The problem of robust Hinfin filtering based on sampled measurement for uncertain systems is studied. Based on piecewise Lyapunov stability criterion, the sample interval dependent conditions for the existence of such filters are established, which are less conservative. The admissible filters can be obtained from the solution of convex optimization problems in terms of linear matrix inequalities,...
This work presents the adaptive synchronization between two different order chaotic systems with unknown parameters. Based on Lyapunov stability theory, a novel adaptive control law and a parameter update rule for unknown parameters are proposed. The proposed scheme can successfully synchronize some typical chaotic systems, such as the hyperchaotic Chen system and the Duffing equation. Numerical Simulation...
Aiming at the rapidity control problem of direct drive electro-hydraulic (DDEH) servo rocket rudder, a design method of adaptive fuzzy sliding mode control with friction torque dynamic compensation is presented. The friction torque dynamic compensation method is introduced to enhance the response of the system. The adaptive fuzzy controller is introduced to solve the problem of the uncertain parameter...
In this paper, the integrated application on self-adapting control of the uninhabited combat aerial vehicles is investigated. According to the characteristics of the flight control systems on various stages, a series of compatible methods about MRAC are adopted to satisfy the flight performance of the unmanned fighter aircraft. Firstly, controller of actuator is constructed according to MIT law. Then...
The main problem addressed is modified Rodrigues parameter (MRP) based, attitude tracking control of rigid satellite. First a nonlinear control scheme is presented under control input saturation. The control scheme is shown to achieve global asymptotic stability for the whole tracking error states through a rigorous Lyapunov analysis. Then we give a control scheme not only to deal with the control...
In this paper, an adaptive neural network (NN) controller is proposed for the stabilization of dynamic nonholonomic mechanic systems with unknown inertia parameters and disturbances. First, to facilitate the control design, the nonholonomic kinematic subsystem is transformed into a skew-symmetric form and the properties of the overall systems are discussed. Then, an adaptive NN controller is presented...
Based on two recent results, several new criteria of L2 - Linfin performance for continuous-time linear systems are established by introducing two slack matrices. When used in robust synthesis of systems with polytopic uncertainties, it can reduce conservatism inherent in the earlier quadratic method and the parameter-dependent Lyapunov function approach. Two numerical examples are included to illustrate...
In this paper, the problem for recurrent neural networks is considered. It is stochastic and contains jumping parameters which are continuous-time Markov process. Delay is mode-dependent and this model is affected by multiplicative noise. Based on the Lyapunov stability theory combined with linear matrix inequalities (LMIs) techniques, we would get some new criteria to guarantee that they are robust...
This note deals with the problem of observer-based gain-scheduled Hinfin control for a class of linear parameter-varying systems with time-varying delays in the state and input. A new delay-dependent Hinfin performance criterion is developed via a parameter-dependent Lyapunov approach. Sufficient conditions are presented to design gain-scheduled controllers and state observers to guarantee that the...
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