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This paper focuses on the adaptive stabilization problem for a class of high-order nonlinear systems with uncertain control coefficients and unmeasurable zero dynamics. Restriction on zero dynamics is further relaxed, and the dynamic order of a continuous adaptive state-feedback controller reduces to be minimum (only one dimension) through delicately defining an appropriate unknown parameters. The...
In this paper we design a Chaos Bidirectional Associative Memory (CBAM) network model based on Aihara chaos neuron for its sensitivity to noise. It includes an inside associative memory construct on its every layer. The simulation shows that the model improves the anti-noise ability of the BAM effectively.
The platform is used to collect related information about human body motion timely and accurately, so that more penetrating scientific study will be carried out about human body motions. It utilizes multiple-knot network technology to gather multiple-point accelerations information which can be processed or transmitted to advanced computers to be comprehensively analyzed. The platform has already...
On the basis of the characteristic and requirement of the continued hyperthermic celiac perfusion (CHCP) temperature process. A model is set up, the generalized predictive self-tuning control (GPSC) algorithm is used to control the whole system to get high accuracy. The parameters identification and the design of generalized predictive self-tuning controller have been realized. Experimental result...
Part perfusion hyperthermia is an effective approach to tumor curing through which the tumor cells are killed by the high temperature, which is created by medicament perfuse to the pathological change area. Since the human body is a complicated system of heat exchange. It is difficult to obtain its accurate mathematic model and accurately measure the temperature of cancer tissue applying the conventional...
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