Environmental landscape art design using dynamic nonlinear parameterization

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY(2022)

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摘要
For the problem of parametric design of anisotropic curves and cambers in the practical application field of environmental landscape design, in this exploration, the modeling of design object is carried out through computer parametric technology. It is based on the information collection and data extraction of design object and the formulation of logical relationship between parametric variable factors related to design. For nonlinear systems, a necessary condition to judge parameters is proposed. This criterion is a natural extension of the Pill criterion, which makes it easy to identify the parameters of the pseudo-linear system in the generalized case, and avoids a lot of complex operations; at the same time, a parametric design method of dynamic environment landscape is proposed systematically. In the first order, second order, high order and generalized nonlinear model, the complete parametric optimization method of environmental landscape design is established. The f(min) search function in MATLAB optimization toolbox is used to solve the generalized nonlinear system. The performance of the algorithm is tested by the examples of pseudo velocity, pseudo velocity uniformity and parameter optimization of the parametric curve called by the software environment. The results show that system dynamic process to simulate the dynamic environmental changes in landscape design by using the optimized parameter method is faster than that by using the unoptimized method. Meanwhile, the optimization method in this exploration can reduce the amplitude of change when external factors interfere, which shows that the optimized parametric design model has better transient performance; the curve generated by calling the drawing function provided in this exploration is smoother when the number of drawing points is the same.
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关键词
Environmental Landscape Design, Generalized Nonlinear System, Parameter Optimization, Geometric Element Generation
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