Application of fuzzy control theory in direct heating-furnace control system
On the basis of bias\|flow analysis and its countermeasures, a control scheme is given for the three fuzzy controller to be built by three pipes absolute temperature\|difference as the input, the openness the valve as the controlled object. After realizing this control scheme, the problem of bias\|flow has be resolved perfectly. Now coked pipes are burned once a year, but no coking occurs. We use this control scheme from beginning to now for seven years. There is no need to change the heating\|pipes at all. A new design method of discrete fuzzy controller presented in this paper can resolve the bias\|flow problem in other fluid distribution control system.
Cooperative spectrum sensing is one of the most important proposed methods to combat with fading, shadowing, and hidden primary user problems. Also, censoring idea was proposed to reduce the communication overhead in cooperative spectrum sensing. In this paper, optimal censor-based strategies are investigated. Optimization problem is formulated under the bandwidth constraint for fixed local rule scenario, fixed fusion rule (OR) scenario, and also joint optimization of local and fusion rules. Solutions to the first two problems are found analytically and the joint optimization problem is solved by means of an iterative search algorithm. Simulation results are also presented to study the impact of the communication constraint on the censoring scheme and the detection performance.