Mlesd Conceptual Class Schedule 16888 Mlesd Problem Formulation and Setup 50. 9 (NLP) Module 1: Problem Formulation and Setup minD(, p Module 2: Optimization and Search Methods st.g(xp)≤0 Spring Break constraints Module 3: Multiobjective and Stochastic Challenges h(x,P=0 Module 4: Implementation Issues and Applications xLB≤x1≤x1CB bounds wheJ=[J(x)…(x)了 x vector Massachusetts Institute of Technology -Prof de Weck and Prof Wacox Massachusetts institute of Technology. Prof. de Weck and Prof. Willcox Lest Module 1 Module 1: Subsystem Model Problem Formulation Setup Development and Coupling MDo frameworks Design variables distributed analysis vs distributed design Constraints Objective functions ◆CO,csSo,BL|SS Parameters Simulation Development Process Fidelity VS. expense define modules: subsystems or disciplines Breadth Vs Depth design vector, constants vector MDO uses applications N2 diagrams feedback vs feedforward, sorting s Benchmarking test model fidelity against a real system Massachusetts Institute of Technology -. de Weck and Prof Wilcox Massachusetts Institute of Techmology.Prof de Weck and Prof willcox9 Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Conceptual Class Schedule Conceptual Class Schedule Module 1: Problem Formulation and Setup Module 2: Optimization and Search Methods --- Spring Break --- Module 3: Multiobjective and Stochastic Challenges Module 4: Implementation Issues and Applications 10 Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Problem Formulation and Setup Problem Formulation and Setup     > @ , , 1 1 min , s.t. , 0 , =0 where i LB i i UB T z T i n x xx J J xxx d d d ª º ¬ ¼ J xp g(x p) h(x p) Jx x x " " " (NLP) objective constraints design vector bounds 11 Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Module 1: Module 1: Problem Formulation & Setup Problem Formulation & Setup • Design variables • Constraints • Objective functions • Parameters • Fidelity vs. expense • Breadth vs. Depth • MDO uses & applications 12 Massachusetts Institute of Technology - Prof. de Weck and Prof. Willcox Module 1: Subsystem Model Module 1: Subsystem Model Development and Coupling Development and Coupling ¾ MDO frameworks Œ distributed analysis vs. distributed design Œ CO, CSSO, BLISS ¾ Simulation Development Process Œ define modules: subsystems or disciplines Œ design vector, constants vector ¾ N2 diagrams Œ feedback vs feedforward, sorting ¾ Benchmarking Œ test model fidelity against a real system