Ch.1 导论 • 什么是国际经济学 • 国际经济学的特点 • 国际经济学研究的主要内容 • 国际经济学的发展概况 Ch.2 国际贸易的古典理论 • 重商主义的贸易观 • 亚当·斯密的绝对优势理论 • 李嘉图的比较优势理论 Ch.3 Neoclassical theory of trade • Production possibility curve and opportunity cost • Social indifference curve • Standard model of trade theory • Offer curve and the terms of trade Ch. 4 Factor endowment theory • Factor abundance and factor intensity • Assumptions of the theory • Factor endowment and H-O theory • Empirical test on H-O theory Ch.5新贸易理论 (New Theories of International Trade) • 技术差距理论(Technological Gap Theory) • 产品生命周期理论(Product Life Cycle Theory) • 重叠需求理论(The Overlapping Demand Theory) • 递增收益理论(Increasing Return Theory) • 不完全竞争理论(Imperfect Competition Theory) Ch.6 国际贸易与经济增长
平推流反应器 Piston Flow Reactor (PFR) 活塞流模型或理想置换模型 This type of units is illustrated in the following figure. This reactor consists of a tube inside which the reaction medium flows. This makes i t t h e s i m p l e s t s t r u c t u r e conceivable f or a continuou s o p e r a ti o n s ys t em . Th e h ea t exchange necessary to add heat to the system or to remove it generally occurs ac ros s the tube wall
General GMM formula Let y, be an h-vector of variables that are observed at date t, let denote an unknown vector of coefficients, h(e, y,) Be an r-vector real function. Let denote true value of 0, and suppose this true value is
1 8.1 Controller Parameterization for General Plants 2 8.2 H∞ PID Controllers for Unstable Plants 3 8.3 H2 PID Controllers for Unstable Plants 4 8.4 Performance Limitation and Robustness 5 8.5 Maclaurin PID Controllers for Unstable Plants 6 8.6 PID Design for the Best Achievable Performance 7 8.6 All Stabilizing PID Controllers for Unstable Plants
1 7.1 The Feature of Integrating Systems 2 7.2 H∞ PID Controllers for Integrating Plants 3 7.3 H2 PID Controllers for Integrating Plants 4 7.4 Controller Design for General Integrating Plants 5 7.5 Maclaurin PID Controllers for Integrating Plants 6 7.6 Best Achievable Performance of a PID Controllers
1 6.1 The Quasi-H∞ Smith Predictor 2 6.2 The H2 Optimal Controller and the Smith Predictor 3 6.3 Equivalents of the Optimal Controller 4 6.4 The PID Controller and High-Order Controllers 5 6.5 Choice of Weighting Functions 6 6.6 Simplified Tuning for Quantitative Robustness