Xudong Zhang – författare
346 kr
Skickas inom 5-8 vardagar
432 kr
Skickas inom 5-8 vardagar
432 kr
Skickas inom 5-8 vardagar
1 377 kr
Skickas inom 5-8 vardagar
432 kr
Skickas inom 5-8 vardagar
651 kr
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Contributors. Evans Chan, Arif Dirlik, Dai Jinhua, Liu Kang, Anthony D. King, Jeroen de Kloet, Abidin Kusno, Wendy Larson, Chaoyang Liao, Ping-hui Liao, Sebastian Hsien-hao Liao, Sheldon Hsiao-peng Lu, Wang Ning, Xiaobing Tang, Xiaoying Wang, Chen Xiaoming, Xiaobin Yang, Zhang Yiwu, Xudong Zhang
651 kr
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Contributors. Rey Chow, Zhiyuan Cui, Michael Dutton, Gan Yang, Harry Harootunian, Peter Hitchcock, Rebecca Karl, Louisa Schein, Wang Hui, Wang Shaoguang, Xudong Zhang
727 kr
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Zhang examines the reactions of intellectuals, authors, and filmmakers to the cultural and political conflicts in China during the 1990s. He offers a nuanced assessment of the changing divisions and allegiances within the intellectual landscape, and he analyzes the postsocialist realism of the era through readings of Mo Yan’s fiction and the films of Zhang Yimou. With Postsocialism and Cultural Politics, Zhang applies the same keen insight to China’s long 1990s that he brought to bear on the 1980s in Chinese Modernism in the Era of Reforms.
1 299 kr
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1 733 kr
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Due to the improvements on electric motors and motor control technology, alternative vehicle power system layouts have been considered. One of the latest is known as distributed drive electric vehicles (DDEVs), which consist of four motors that are integrated into each drive and can be independently controllable. Such an innovative design provides packaging advantages, including short transmission chain, fast and accurate torque response, and so on. Based on these advantages and features, this book takes stability and energy-saving as cut-in points, and conducts investigations from the aspects of Vehicle State Estimation, Direct Yaw Moment Control (DYC), Control Allocation (CA). Moreover, lots of advanced algorithms, such as general regression neural network, adaptive sliding mode control-based optimization, as well as genetic algorithms, are applied for a better control performance.