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The optimal control of musculoskeletal model by genetic algorithm

Presented by Soroush Bagheri Koudakani. The optimal control of musculoskeletal model by genetic algorithm. Introduction. Human Movement Modeling The optimal control theory Classical Non-classical Advantage & Disadvantage Continuation & Differentiable function Obstructive possibility

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The optimal control of musculoskeletal model by genetic algorithm

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  1. Presented by SoroushBagheriKoudakani The optimal control of musculoskeletal model by genetic algorithm

  2. Introduction • Human Movement • Modeling • The optimal control theory • Classical • Non-classical • Advantage & Disadvantage • Continuation & Differentiable function • Obstructive possibility • Accuracy

  3. Introduction • Parameter optimization algorithm (Pandy 1992) • Computed Muscle Control (CMC) • PD controller *Genetic Algorithm

  4. Method • Musculoskeletal model • Skeletal model • Constrain • Muscles model • Excitation to Activation

  5. Muscle Excitation Generator • Genetic Algorithm • Chromosome • Population • Selection • Mutation

  6. Vertical jump simulation

  7. Result • The validity of muscle excitation algorithm After 26 Iterations 

  8. Result

  9. Conclusion

  10. THANK YOU FOR YOUR ATTENTION • SoroushBagheriKoudakani

  11. 5 4 2 G 1 Skeletal Model 3 1 : Calcaneus 2 : Talus 3 : Knee 4 : Hip 5 : Pelvis

  12. Contrain • Foot-Ground Anderson 1999

  13. Muscle model Thanlen 2003

  14. Moment Arm

  15. Excitation - Activation Zajac1989 Thalen2003

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