Kuxun is an online travel search company in China. This paper describes the transition and innovation of the company's marketing strategy, from comprehensive information search to online travel search. It shows how Kuxun has successfully achieved strategic market transition from "all-round" to "specialized" through efficient market segmenting, targeting, and positioning (STP). The case also illustrates how Kuxun has become the top brand of Chinese online travel search by carrying out various types of innovative network marketing, 620 Lin Jiang, Yadan Zhang, Xun He, Haijun Zhang, Jun Kang, Bo Zhang including interactive experience marketing, precision marketing, and cooperative marketing.
This article investigates the distributed iterative learning control for heating ventilation and air condition (HVAC) systems. Large-scale building HVAC systems consisting of several subsystems are generally disturbed by the external environment and random human activities. The control objective is to achieve all units of the large-scale building consistently maintaining the desired temperature. A distributed learning control (DLC) scheme with a decreasing gain is proposed and analyzed for the first time. To accelerate convergence speed, an adaptation mechanism is introduced to generate an adaptive learning gain sequence. Then, an accelerated distributed learning control (ADLC) scheme is designed to improve the transient convergence performance. For the DLC scheme, the input error is proved convergent to zero in the mean-square sense, whereas the convergence with probability 1 is proved for the ADLC scheme. Numerical results are presented to verify the effectiveness of the proposed schemes.
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