作者: Ashraf Omran , Brett Newman
DOI: 10.2514/6.2008-6874
关键词: Benchmark (computing) 、 Current (mathematics) 、 Control theory 、 Nonlinear system 、 Kernel (statistics) 、 Piecewise 、 Set (abstract data type) 、 State space 、 Interpolation 、 Mathematics
摘要: Evaluating global aircraft dynamic behavior by Volterra theory as an efficient nonlinear approximation method is investigated. In previous research, implemented to evaluate the system in a selected local region of state space, which restricts ability capture while moving from one flight another. The current research presents piecewise kernel approach. approach utilizes sub-model kernels build kernels. A novel strength index proposed determine number required terms each sub-model. interpolation then employed switch between sub-models. An approximate pitch-plunge model for F-18 was used assess set experimental simulations conducted verify capability capturing aircraft. compared with linear employing simulation benchmark.