期刊文献+
共找到3篇文章
< 1 >
每页显示 20 50 100
An Intelligent Approach in Design Optimzation Based on Determining Constraints Compatibility
1
作者 Chen Yong Li Bailin(School of Mechanical Engineering),Southwest Jiaotong University, Chengdu 610031, China 《Journal of Modern Transportation》 1994年第2期95-103,共9页
Based on monotonicity analysis and computer symbolic manipulating technique,a procedure for determining constraints compatibility in design optimization hasbeen proposed in this paper. By using the proposed method rel... Based on monotonicity analysis and computer symbolic manipulating technique,a procedure for determining constraints compatibility in design optimization hasbeen proposed in this paper. By using the proposed method relationshipsbetween constrains can be determined and the optimization is greatly simplifid.The method is code with intelligent production systems. 展开更多
关键词 design optimization monotonicity analysis constraints compatibility intelligent optimization symbolic manipulating technique
下载PDF
Distributed model predictive control for multiagent systems with improved consistency 被引量:2
2
作者 Shanbi WEI Yi CHAI Baocang DING 《控制理论与应用(英文版)》 EI 2010年第1期117-122,共6页
This paper addresses an improved distributed model predictive control (DMPC) scheme for multiagent systems with an attempt to improving its consistency. The deviation between what an agent is actually doing and what... This paper addresses an improved distributed model predictive control (DMPC) scheme for multiagent systems with an attempt to improving its consistency. The deviation between what an agent is actually doing and what its neighbors believe that agent is doing is penalized in the cost function of each agent. At each sampling instant the compatibility constraint of each agent is set tighter than the previous sampling instant. Like the traditional approach, the performance cost is utilized as the Lyapunov function to prove closed-looped stability. The closed-loop stability is guaranteed if the weight matrix for deviation in the cost function are sufficiently large. The proposed distributed control scheme is formulated as quadratic programming with quadratic constraints. A numerical example is given to illustrate the effectiveness of the proposed scheme. 展开更多
关键词 Distributed model predictive control (DMPC) Multiagent systems compatibility constraint CONSISTENCY
下载PDF
Optimization of Supplier Switching with Asymmetric Information
3
作者 胡明茂 唐万生 张建雄 《Transactions of Tianjin University》 EI CAS 2012年第2期149-156,共8页
The buyer-supplier relationship plays a great role in most economic systems. The buying firm usually tries to find a new supplier who provides products with satisfying quality and lower price. A broad branch of litera... The buyer-supplier relationship plays a great role in most economic systems. The buying firm usually tries to find a new supplier who provides products with satisfying quality and lower price. A broad branch of literature deals with the development of buyer-supplier relationships, but limited research is on the circumstances under which a buyer should terminate such a relationship and switch to a new supplier. In this paper, the incentive compatibility constraint (IC) which induces the entrant supplier to report his true cost is considered, and the participation constraint (PC) which ensures the entrant supplier to get at least reservation profit is taken into account. Then the supplier switching model is set up to minimize the buying firm's total procurement cost which includes the transfer payment to the incumbent supplier, the payment to the entrant supplier and the switching cost, and the buying firm's switching cost is considered as a function of the switching quantity. With the theoretical analysis of IC, PC and the proposed model, the optimal supplier switching strategy can be obtained. Finally, a numerical example is given to illustrate the effectiveness of the proposed model and the switching strategy. 展开更多
关键词 supplier switching asymmetric information switching cost incentive compatibility constraint
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部