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Iterative learning control (ILC) is a powerful control concept that iteratively improves the behaviors of processes that are repetitive in nature. Furthermore, it is remarkable to see the increasing number of studies related to the theory and application of fractional order controller (FOC), especially PI<sup>&#x03BB;</sup>D<sup>&#x03BC;</sup> controller,(More)
—Modeling human operator's dynamic plays a very important role in the manual closed-loop control system, and it is an active research area for several decades. Based on the characteristics of human brain and behaviour, a new kind of fractional order mathematical model for human operator in SISO systems is proposed. Compared with the traditional models based(More)
A novel 6-degree-of-freedom parallel platform and its motion control based on a modified active disturbance rejection controller are presented in this article. Structure and mathematical model of a novel electromagnetic linear actuator are analyzed, which is the main component of the novel 6-degree-of-freedom parallel platform. Kinematics-based control(More)
In this paper, immune evolution algorithm (IEA) by imitating the defending process of an immune system and the mutating ideas of biology evolutionary is investigated to optimize the input of iterative learning controller. In the IEA, a self-adaptive mutation operator is constructed to decide the mutation step size of every antibody by its environment and an(More)
Differential evolution algorithm was applied to tune PID parameters for speed control of the permanent magnet linear motor(PMLM). To improve the bad robustness due to fixed control parameters of basic Differential Evolution (DE), a self-adaptive strategy for crossover probability constant CR was proposed in terms of the convergence status of the target(More)
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