The paper considers performance issues of a class of iterative minimization methods for nonlinear problems with constraints, leading to presentation of information of the algorithm that has superior properties for a given size of the problem.
The paper considers two questions. Firstly, to adjudicate whether the feedback linearization is actually better for control than the plain Jacobian linearization. This issue is settled by using linear quadratic control strategy for above-mentioned linear models. The second question results from the efforts of joining feedback linearization and linear quadratic control: how should the weights of the...
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