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Nonlinear Model Predictive Control
During the past decade model predictive control (MPC), also referred to as receding horizon control or moving horizon control, has become the preferred control strategy for quite a number of industrial processes. There have been many significant advances in this area over the past years, one of the most important ones being its extension to nonlinear systems. This book gives an up-to-date assessment of the current state of the art in the new field of nonlinear model predictive control (NMPC). The main topic areas that appear to be of central importance for NMPC are covered, namely receding horizon control theory, modeling for NMPC, computational aspects of on-line optimization and applicatio...
Computational Science - ICCS 2006
This is Volume IV of the four-volume set LNCS 3991-3994 constituting the refereed proceedings of the 6th International Conference on Computational Science, ICCS 2006. The 98 revised full papers and 29 revised poster papers of the main track presented together with 500 accepted workshop papers were carefully reviewed and selected for inclusion in the four volumes. The coverage spans the whole range of computational science.
Non-linear Predictive Control
The advantage of model predictive control is that it can take systematic account of constraints, thereby allowing processes to operate at the limits of achievable performance. Engineers in academia, industry, and government from the US and Europe explain how the linear version can be adapted and applied to the nonlinear conditions that characterize the dynamics of most real manufacturing plants. They survey theoretical and practical trends, describe some specific theories and demonstrate their practical application, derive strategies that provide appropriate assurance of closed-loop stability, and discuss practical implementation. Annotation copyrighted by Book News, Inc., Portland, OR
Advanced Model Predictive Control
Model Predictive Control (MPC) refers to a class of control algorithms in which a dynamic process model is used to predict and optimize process performance. From lower request of modeling accuracy and robustness to complicated process plants, MPC has been widely accepted in many practical fields. As the guide for researchers and engineers all over the world concerned with the latest developments of MPC, the purpose of "Advanced Model Predictive Control" is to show the readers the recent achievements in this area. The first part of this exciting book will help you comprehend the frontiers in theoretical research of MPC, such as Fast MPC, Nonlinear MPC, Distributed MPC, Multi-Dimensional MPC and Fuzzy-Neural MPC. In the second part, several excellent applications of MPC in modern industry are proposed and efficient commercial software for MPC is introduced. Because of its special industrial origin, we believe that MPC will remain energetic in the future.
China’s War in Korea
This book re-visits the history of the Korean War of 1950-1953 from a Chinese perspective, examining Chinese strategy and exploring why China sent three million troops to Korea, in Mao’s words, to “defend the homeland and safeguard the country”—giving rise to what became the war’s common name in China. It also looks into the relatively neglected historical factors which have redefined China’s security concerns and strategic culture. Using newly available sources from China and the former Soviet Union, the book considers how interactive the parameters of defense changes were in a foreign war against Western powers, how flexible Chinese strategy was in the context of its intervention, and how expansive its strategic cultural repertoire was at the crucial moment to “defend the country.” Providing a re-examination of China’s military decisions and strategy evolution, this text narrates the story of successive generations of Chinese leaders and provides a key insight into security issues in China and Northeast Asia today.
Methods of Model Based Process Control
Model based control has emerged as an important way to improve plant efficiency in the process industries, while meeting processing and operating policy constraints. The reader of Methods of Model Based Process Control will find state of the art reports on model based control technology presented by the world's leading scientists and experts from industry. All the important issues that a model based control system has to address are covered in depth, ranging from dynamic simulation and control-relevant identification to information integration. Specific emerging topics are also covered, such as robust control and nonlinear model predictive control. In addition to critical reviews of recent advances, the reader will find new ideas, industrial applications and views of future needs and challenges. Audience: A reference for graduate-level courses and a comprehensive guide for researchers and industrial control engineers in their exploration of the latest trends in the area.
Advances in Corpus Applications in Literary and Translation Studies
Professor Riccardo Moratto and Professor Defeng Li present contributions focusing on the interdisciplinarity of corpus studies, with a special emphasis on literary and translation studies which offer a broad and varied picture of the promise and potential of methods and approaches. Inside scholars share their research findings concerning current advances in corpus applications in literary and translation studies and explore possible and tangible collaborative research projects. The volume is split into two sections focusing on the applications of corpora in literary studies and translation studies. Issues explored include historical backgrounds, current trends, theories, methodologies, operational methods, and techniques, as well as training of research students. This international, dynamic, and interdisciplinary exploration of corpus studies and corpus application in various cultural contexts and different countries will provide valuable insights for any researcher in literary or translation studies who wishes to have a better understanding when working with corpora.
Attack at Chosin
For members of the U.S. Army’s “Task Force Faith” and the First Marine Division, the Battle of Chosin Reservoir is an epic story of survival, courage, and ingenuity. Their exploits are well known—woven into the storied histories of the U.S. Army and Marine Corps. Now, for the first time, Attack at Chosin recounts this battle from the Chinese perspective, describing the advance that forced General MacArthur to reorient his strategy, which not only marked a turning point in the Korean War but impacted events in Asia in ways that still resonate today. The Battle of Chosin Reservoir, as the Chinese commanders foretold, determined the fate and length of the Korean War. Author Xiaobing Li ...
China's Battle for Korea
Between November 1950 and the end of fighting in June 1953, China launched six major offensives against UN forces in Korea. The most important of these began on April 22, 1951, and was the largest Communist military operation of the war. The UN forces put up a strong defense, prevented the capture of the South Korean capital of Seoul, and finally pushed the Chinese back above the 38th parallel. After China's defeat in this epic five-week battle, Mao Zedong and the Chinese leadership became willing to conclude the war short of total victory. China's Battle for Korea offers new perspectives on Chinese decision making, planning, and execution; the roles of command, political control, and technology; and the interaction between Beijing, Pyongyang, and Moscow, while providing valuable insight into Chinese military doctrine and the reasons for the UN's military success.
