Issues such as logistics, the coordination of different teams, and automatic control of machinery become more difficult when dealing with large, complex projects. Yet all these activities have common elements and can be represented by mathematics. Linking theory to practice, Industrial Control Systems: Mathematical and Statistical Models and Techni
Adedeji B. Badiru, Oye Ibidapo-Obe, Babatunde J. Ayeni
Innehållsförteckning
Mathematical Modeling for Product Design. Dynamic Fuzzy Systems Modeling. Stochastic Systems Modeling. Systems Optimization Techniques. Statistical Control Techniques. Design of Experiment Techniques. Risk Analysis and Estimation Techniques. Mathematical Modeling and Control of Multi-Constrained Projects. On-Line Support Vector Regression with Varying Parameters for Time-Dependent Data. Appendix: Mathematical and Engineering References.