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Symplectic Pseudospectral Methods for Optimal Control: Theory and Applications in Path Planning (Intelligent Systems, Control and Automation: Science and Engineering Book 97) Book Features


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Symplectic Pseudospectral Methods for Optimal Control: Theory and Applications in Path Planning (Intelligent Systems, Control and Automation: Science and Engineering Book 97) Book Reviews from YouTube

Mod-11 Lec-22 Transcription Method to Solve Optimal Control Problems
Mod-01 Lec-33 Numerical Example and Solution of Optimal Control problem
Mod-16 Lec-37 Optimal Control of Distributed Parameter Systems -- I
Mod-16 Lec-38 Optimal Control of Distributed Parameter Systems -- II
Thank you so much for your nice explanation. There are some typos in the slides. I will mention the correction to anyone who is interested. slide 27, E(x^(t0),x^(tN)). The matrix in the slide (31) is not the differentiation matrix this matrix is (T^-1D). Slide 32, Xdot^= Da not (Xdot^=TXD a). In the same slide too, Da-Ta=Tb>>> (D-T)a=Tb>>> T^-1(D-T)a=b. Slide 34, wk=((b-a)/2)*(pi/(k+1))={pi/2,pi/4,pi/6,pi/8,pi/10} slide 35, x^(1)-e
What if both the lower limit and upper limits are free?
Very well illustrated.
Thank you so much for the lecture. It clarified a lot of doubts which I had.

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