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
Stability Condition in Terms of the Pole Locations A causal LTI digital filter is BIBO stable if and only if its impulse response h[n] is absolutely summable, i.e., We now develop a stability condition in terms of the pole locations of the transfer function H(z)
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
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