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This paper presents an intelligent control method for the Acrobot with applications of neural network (NN) and genetic algorithm (GA). A switch controller is proposed where a neurocontroller (NC) optimized by GA is used for the swing-up stage and a linear quadratic regulator (LQR) is applied to the balancing stage. In order to analyze the characteristics of(More)
This paper is concerned with the control of a rotary crane system which is perturbed by a strong and sudden disturbance. Since the payload of the crane system is affected strongly by inertia, it is hardly stabilized quickly, particularly when there exists disturbance. An adaptive adjustment of the controller against the disturbance is thus needed to(More)
The purpose of this paper is to derive conditions for absolute stability as well as existence of solutions for multivariable Lur'e-type feedback systems whose linear part is expressed by a descriptor system. The nonlinearities are uncertain and satisfy multivariable sector conditions, or a part of the nonlinearities satisfies a norm bounded condition. Thus,(More)
This paper considers stabilization of linear time-varying descriptor systems with continuous and bounded coefficient matrices. First, a necessary and sufficient condition for exponential stability is presented as solvability of a linear matrix differential inequality. Then, the stability condition is utilized to derive a feedback control law for(More)
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