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Parameters setting is an important problem of evolution algorithms, include differential evolution algorithm. It has an effect on the performance of evolution algorithms. Although there is only three control parameters in differential evolution (DE) algorithm, the parameters setting is also a difficult problem. Self-adaptation is highly beneficial for adjusting the control parameters, especially when...
In this paper,a method based on an adaptive sliding mode variable structure observer is presented for synchronization and control of a class of hyper-chaotic systems with multivariable transmission. It is not only more robust to noise and parameter mismatch in the error dynamics,but also does not need the upperbounds of the uncertainties in advance or the inertial filter. Theoretical analysis and...
To improve the dynamic response, regulation precision and robustness of the closed-loop system, a novel adaptive pattern recognition based PID (PR-PID) control policy was proposed for industrial processes by combining the adaptive control, pattern recognition and PID control technique. The proposed method can achieve better performance by identifying the output of the system on line with different...
In this letter, the projective synchronization for two different chaotic systems with unknown parameters is studied. The system under consideration is subjected to delayed state and stochastic perturbation. By combining the adaptive control method and feedback control technique, we design a suitable nonlinear controller, and derive parameters update law to achieve lag projective stochastic perturbation...
The unmanned helicopter exhibits a complex and nonlinear dynamic behavior and open-loop unstable. This paper describes a attitude control method based on adaptive output feedback for an unmanned helicopter. First, it is assumed that the controlled system satisfies the output feedback linearization conditions. Second, the approximate model of the system is considered as the diffeomorphism of the system...
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