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In this paper, a fully integrated CMOS receiver frontend for high-speed short range wireless applications centering at 60GHz millimeter wave (mmW) band is designed and implemented in 90nm CMOS technology. The 60GHz receiver is designed based on the super-heterodyne architecture consisting of a low noise amplifier (LNA) with inter-stage peaking technique, a single-balanced RF mixer, an IF amplifier,...
In order to achieve real-time detection of the six-degree of freedom at the same time, and determine the measured movement of an object model quickly and accurately, this paper introduced a device, which was based on a six-degree of freedom sensor and composed by the signal detection system and the host computer software testing program. Among them, the software testing pragram was developed with...
To improve the precision and efficiency for virtual speed prediction of bio-mimetic robotic horse, this paper presents the BP neural network based on improved BFGS to predict the movement of the virtual speed of the bio-mimetic robotic horse. Experiments show that the BP network proposed in this paper can effectively avoid the traditional BP neural networks detects which easy to fall into local minima,...
Aiming at the model uncertainties and external disturbances of the robotic systems, First regard the exterior disturbances as system input, with skew-symmetric characteristics of the robot, this paper designed a controller based on the theory of passivity, and then used the classic sliding mode control to compensate the uncertainties' influence. In order to eliminate chattering of sliding mode controller,...
This paper proposes nonlinear control methods for output regulation of ball and plate system. Positions of the ball are regulated with double feedback loops. Recursive backstepping design is employed for the external feedback loop, while switching control scheme is used in the inner feedback loop. System performance was tuned by backstepping parameters. Simulation results show that the proposed nonlinear...
An improved clustering method is presented by combining subtractive clustering and fuzzy C-means clustering(FCM) It was hoped that through a series of steps to optimize the Takagi-Sugeno(T-S) model structure and realized the identification of nonlinear systems. The first to use subtraction initial cluster of input space, get few rules and the initial cluster centers, with improved FCM clustering algorithm...
A new generalized predictive control algorithm of MIMO systems based on grey model is presented in this paper. It establishes a grey model instead of CARIMA model, and eliminates the coupling of MIMO system by using feed-forward decoupling. It has the feature of identifying small parameters, and avoiding online solving the Diophantine equation and inverse matrix. So the computation load of algorithm...
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