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.
In this paper, a nonlinear tracking control of a robot arm in the presence of uncertainties is proposed by using robust right coprime factorization and sliding mode approaches. In general, there exist unknown modeling errors in measuring structural parameters of the robot arm and external disturbances in real situations. In the present control system design, the effect of the modeling errors and disturbance...
In this paper, an operator-based robust nonlinear perfect tracking control for an aluminum plate with a peltier device in the presence of unknown uncertainties is proposed by an operator-based observer based on robust right coprime factorization approach. In general, there exist unknown uncertainties consisting of modeling errors and external disturbances in real situations. Considering the uncertainties,...
We consider a class of nonlinear continuous-time time-varying plants with a state-space description which has a uniformly completely controllable linear part. For this class of system, we obtain by calculation a right factorization. In the case where the state is available for feedback, we obtain a normalized right-coprime factorization with some of output functions. And then, we use this result to...
In this paper, we introduce a kind of method for solving least mean square problems based on the gradient neural network, including the network model construction, quantitative analysis of the network global convergence and the network convergence rate about the different activation functions. MATLAB simulation results and theoretical analysis results are accordingly consistent, which further confirm...
The circular-rail double inverted pendulum is considered as a strongly nonlinear system. In this paper, the mathematical model of the inverted pendulum is established based on the principle of theoretical mechanics. And based on the analysis of characteristics of the inverted pendulum, the robust Linear Quadratic Regulator (LQR) control strategy is adopted to design control system. In order to get...
Right coprime factorization provides a powerful tool for the study of robust stability of nonlinear systems. Some equivalent conditions of the existence of robust right coprime factorization is proposed in the generalized sense including input-output approach and the Bezout method in this paper, which is of the meaning of methodology solving the complicated factorization of the nonlinear operator...
In this paper, first of all, we introduce the normal particle swarm optimization algorithms (PSO), for this kind of algorithms, there are problems like it easily stuck at a local minimum point and its convergence speed is slow. To overcome this, an improved particle swarm optimization algorithms is presented for improving global and local search ability of PSO. That is, the rate of particle convergence...
Almost sure exponential stability of stochastic neural networks with general saturation output functions (GSCNN) is studied, the results obtained in this paper generalize some existent ones. By adopting the approach of decomposing the state space to some sub-regions and by using the theory of stochastic dynamic system, some generalized stability algebraic criteria are obtained, and the attractive...
Asymptotically stable conditions of linear discrete time delay system and robust stable conditions of the corresponding perturbed system (called this interval system) are setup and proved respectively. Based on the fundamental matrix of the system, equivalent conditions guaranteeing the system asymptotical stability are proposed and the rigorous proof are given. Based on these general conditions,...
By selecting an appropriate transformation of the ariables in quadratic programming problems with equality constraints, a lower order recurrent neural network for solving higher quadratic programming is presented. The proposed recurrent neural network is globally exponential stability and converges to the optimal solutions of the higher quadratic programming. An op-amp based on the analogue circuit...
The paper aims to present a synchronization and parameter identification scheme for a class of time-varying neural networks. By combining the adaptive control method and the Razumikhin-type Theorem, a novel delay-independent and decentralized linear-feedback control with appropriate updated law is designed to achieve the synchronization and parameter identification .The updating law of parameters...
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.