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We present lower bound tree-RRT (LBT-RRT), a single-query sampling-based motion-planning algorithm that is asymptotically near-optimal. Namely, the solution extracted from LBT-RRT converges to a solution that is within an approximation factor of $1+\boldsymbol{\varepsilon}$ of the optimal solution. Our algorithm allows for a continuous interpolation between the fast RRT algorithm and the asymptotically...
We present Lower Bound Tree-RRT (LBT-RRT), a single-query sampling-based algorithm that is asymptotically near-optimal. Namely, the solution extracted from LBT-RRT converges to a solution that is within an approximation factor of 1 + ε of the optimal solution. Our algorithm allows for a continuous interpolation between the fast RRT algorithm and the asymptotically optimal RRT∗ and RRG algorithms....
Based on the weak secant equation, a filter diagonal quasi-Newton method for minimizing unconstrained optimization is proposed. This method restricts the approximation of Hessian matrix to a diagonal matrix. If the trial step is monotone or can be accepted by the filter, the algorithm requires no line searches. Under some reasonable assumptions, the new algorithm is globally convergent. Preliminary...
Response to the question that the traditional gain scheduling which is one-parameter adjusting is complex and difficult to find suitable adjusting rule and so the flying qualities in full flight envelope curve specially for those flight conditions between the operating points can’t be guaranteed for a modern fly-by-wire flight control system, a design method of three-layer BP network gaining-scheduling...
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