Dynamic Optimization"Dynamic Optimization" takes an applied approach to its subject, offering many examples and solved problems that draw from aerospace, robotics, and mechanics. The abundance of thoroughly tested general algorithms and Matlab codes provide the reader with the practice necessary to master this inherently difficult subject, while the realistic engineering problems and examples keep the material interesting and relevant. FEATURES/BENEFITS
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Contents
1 POPParameter Optimization Using Gradient | 30 |
2 POPNParameter Optimization Using NR | 41 |
Dynamic Optimization | 45 |
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Common terms and phrases
adjoint altitude analytical angle backward sequencing boundary conditions calculate calculus of variations climb closed-loop closed-loop poles Compare your results Compute constant CONSTR control histories determined discrete DOPC DTDP dual problem DVDP for Max Dynamic Optimization eigenvalues eigenvectors Example feedback gains FMINU FOPC FOPT ft/sec given gradient H₁ initial guess integration iterations Lagrange multiplier linear listed in Table MATLAB Code Max Range minimize mxit necessary conditions nonlinear normalized numerical optimal control optimal path optn parameter pendulum performance index phugoid plot the optimal quadratic Range with Gravity results with Figure Riccati equation root locus Script shooting algorithms Show shown in Figure Solar Sail solved specified subroutine tangent law terminal constraints terminal errors thrust TI plant time-to-go TPBVP transition matrix units variable velocity x(tƒ zero